diff --git a/.bumpversion.cfg b/.bumpversion.cfg index 8dedb4a56..e5acb844b 100644 --- a/.bumpversion.cfg +++ b/.bumpversion.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 4.1.31 +current_version = 4.1.32 commit = False tag = False diff --git a/dev/local/setup.cfg b/dev/local/setup.cfg index 2aa64d4a2..6a4f8c6e2 100644 --- a/dev/local/setup.cfg +++ b/dev/local/setup.cfg @@ -1,6 +1,6 @@ [metadata] name = Delphi Development -version = 4.1.31 +version = 4.1.32 [options] packages = diff --git a/docs/Gemfile.lock b/docs/Gemfile.lock index af94c77e4..256a223d1 100644 --- a/docs/Gemfile.lock +++ b/docs/Gemfile.lock @@ -14,9 +14,8 @@ GEM execjs coffee-script-source (1.11.1) colorator (1.1.0) - commonmarker (0.17.13) - ruby-enum (~> 0.5) - concurrent-ruby (1.2.0) + commonmarker (0.23.10) + concurrent-ruby (1.3.5) dnsruby (1.61.5) simpleidn (~> 0.1) em-websocket (0.5.2) @@ -34,16 +33,17 @@ GEM ffi (1.15.0) forwardable-extended (2.6.0) gemoji (3.0.1) - github-pages (214) - github-pages-health-check (= 1.17.0) - jekyll (= 3.9.0) + github-pages (228) + github-pages-health-check (= 1.17.9) + jekyll (= 3.9.3) jekyll-avatar (= 0.7.0) jekyll-coffeescript (= 1.1.1) - jekyll-commonmark-ghpages (= 0.1.6) + jekyll-commonmark-ghpages (= 0.4.0) jekyll-default-layout (= 0.1.4) jekyll-feed (= 0.15.1) jekyll-gist (= 1.5.0) jekyll-github-metadata (= 2.13.0) + jekyll-include-cache (= 0.2.1) jekyll-mentions (= 1.6.0) jekyll-optional-front-matter (= 0.3.2) jekyll-paginate (= 1.1.0) @@ -52,49 +52,49 @@ GEM jekyll-relative-links (= 0.6.1) jekyll-remote-theme (= 0.4.3) jekyll-sass-converter (= 1.5.2) - jekyll-seo-tag (= 2.7.1) + jekyll-seo-tag (= 2.8.0) jekyll-sitemap (= 1.4.0) jekyll-swiss (= 1.0.0) - jekyll-theme-architect (= 0.1.1) - jekyll-theme-cayman (= 0.1.1) - jekyll-theme-dinky (= 0.1.1) - jekyll-theme-hacker (= 0.1.2) - jekyll-theme-leap-day (= 0.1.1) - jekyll-theme-merlot (= 0.1.1) - jekyll-theme-midnight (= 0.1.1) - jekyll-theme-minimal (= 0.1.1) - jekyll-theme-modernist (= 0.1.1) - jekyll-theme-primer (= 0.5.4) - jekyll-theme-slate (= 0.1.1) - jekyll-theme-tactile (= 0.1.1) - jekyll-theme-time-machine (= 0.1.1) + jekyll-theme-architect (= 0.2.0) + jekyll-theme-cayman (= 0.2.0) + jekyll-theme-dinky (= 0.2.0) + jekyll-theme-hacker (= 0.2.0) + jekyll-theme-leap-day (= 0.2.0) + jekyll-theme-merlot (= 0.2.0) + jekyll-theme-midnight (= 0.2.0) + jekyll-theme-minimal (= 0.2.0) + jekyll-theme-modernist (= 0.2.0) + jekyll-theme-primer (= 0.6.0) + jekyll-theme-slate (= 0.2.0) + jekyll-theme-tactile (= 0.2.0) + jekyll-theme-time-machine (= 0.2.0) jekyll-titles-from-headings (= 0.5.3) jemoji (= 0.12.0) - kramdown (= 2.3.1) + kramdown (= 2.3.2) kramdown-parser-gfm (= 1.1.0) - liquid (= 4.0.3) + liquid (= 4.0.4) mercenary (~> 0.3) minima (= 2.5.1) - nokogiri (>= 1.10.4, < 2.0) + nokogiri (>= 1.13.6, < 2.0) rouge (= 3.26.0) terminal-table (~> 1.4) - github-pages-health-check (1.17.0) + github-pages-health-check (1.17.9) addressable (~> 2.3) dnsruby (~> 1.60) octokit (~> 4.0) - public_suffix (>= 2.0.2, < 5.0) + public_suffix (>= 3.0, < 5.0) typhoeus (~> 1.3) html-pipeline (2.14.0) activesupport (>= 2) nokogiri (>= 1.4) http_parser.rb (0.6.0) - i18n (0.9.5) + i18n (1.14.7) concurrent-ruby (~> 1.0) - jekyll (3.9.0) + jekyll (3.9.3) addressable (~> 2.4) colorator (~> 1.0) em-websocket (~> 0.5) - i18n (~> 0.7) + i18n (>= 0.7, < 2) jekyll-sass-converter (~> 1.0) jekyll-watch (~> 2.0) kramdown (>= 1.17, < 3) @@ -108,13 +108,13 @@ GEM jekyll-coffeescript (1.1.1) coffee-script (~> 2.2) coffee-script-source (~> 1.11.1) - jekyll-commonmark (1.3.1) - commonmarker (~> 0.14) - jekyll (>= 3.7, < 5.0) - jekyll-commonmark-ghpages (0.1.6) - commonmarker (~> 0.17.6) - jekyll-commonmark (~> 1.2) - rouge (>= 2.0, < 4.0) + jekyll-commonmark (1.4.0) + commonmarker (~> 0.22) + jekyll-commonmark-ghpages (0.4.0) + commonmarker (~> 0.23.7) + jekyll (~> 3.9.0) + jekyll-commonmark (~> 1.4.0) + rouge (>= 2.0, < 5.0) jekyll-default-layout (0.1.4) jekyll (~> 3.0) jekyll-feed (0.15.1) @@ -124,6 +124,8 @@ GEM jekyll-github-metadata (2.13.0) jekyll (>= 3.4, < 5.0) octokit (~> 4.0, != 4.4.0) + jekyll-include-cache (0.2.1) + jekyll (>= 3.7, < 5.0) jekyll-mentions (1.6.0) html-pipeline (~> 2.3) jekyll (>= 3.7, < 5.0) @@ -143,50 +145,50 @@ GEM rubyzip (>= 1.3.0, < 3.0) jekyll-sass-converter (1.5.2) sass (~> 3.4) - jekyll-seo-tag (2.7.1) + jekyll-seo-tag (2.8.0) jekyll (>= 3.8, < 5.0) jekyll-sitemap (1.4.0) jekyll (>= 3.7, < 5.0) jekyll-swiss (1.0.0) - jekyll-theme-architect (0.1.1) - jekyll (~> 3.5) + jekyll-theme-architect (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-cayman (0.1.1) - jekyll (~> 3.5) + jekyll-theme-cayman (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-dinky (0.1.1) - jekyll (~> 3.5) + jekyll-theme-dinky (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-hacker (0.1.2) + jekyll-theme-hacker (0.2.0) jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-leap-day (0.1.1) - jekyll (~> 3.5) + jekyll-theme-leap-day (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-merlot (0.1.1) - jekyll (~> 3.5) + jekyll-theme-merlot (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-midnight (0.1.1) - jekyll (~> 3.5) + jekyll-theme-midnight (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-minimal (0.1.1) - jekyll (~> 3.5) + jekyll-theme-minimal (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-modernist (0.1.1) - jekyll (~> 3.5) + jekyll-theme-modernist (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-primer (0.5.4) + jekyll-theme-primer (0.6.0) jekyll (> 3.5, < 5.0) jekyll-github-metadata (~> 2.9) jekyll-seo-tag (~> 2.0) - jekyll-theme-slate (0.1.1) - jekyll (~> 3.5) + jekyll-theme-slate (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-tactile (0.1.1) - jekyll (~> 3.5) + jekyll-theme-tactile (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) - jekyll-theme-time-machine (0.1.1) - jekyll (~> 3.5) + jekyll-theme-time-machine (0.2.0) + jekyll (> 3.5, < 5.0) jekyll-seo-tag (~> 2.0) jekyll-titles-from-headings (0.5.3) jekyll (>= 3.3, < 5.0) @@ -196,23 +198,23 @@ GEM gemoji (~> 3.0) html-pipeline (~> 2.2) jekyll (>= 3.0, < 5.0) - kramdown (2.3.1) + kramdown (2.3.2) rexml kramdown-parser-gfm (1.1.0) kramdown (~> 2.0) - liquid (4.0.3) + liquid (4.0.4) listen (3.5.1) rb-fsevent (~> 0.10, >= 0.10.3) rb-inotify (~> 0.9, >= 0.9.10) mercenary (0.3.6) - mini_portile2 (2.8.6) + mini_portile2 (2.8.8) minima (2.5.1) jekyll (>= 3.5, < 5.0) jekyll-feed (~> 0.9) jekyll-seo-tag (~> 2.1) minitest (5.17.0) multipart-post (2.1.1) - nokogiri (1.16.5) + nokogiri (1.18.3) mini_portile2 (~> 2.8.2) racc (~> 1.4) octokit (4.20.0) @@ -221,15 +223,12 @@ GEM pathutil (0.16.2) forwardable-extended (~> 2.6) public_suffix (4.0.6) - racc (1.7.3) + racc (1.8.1) rb-fsevent (0.10.4) rb-inotify (0.10.1) ffi (~> 1.0) - rexml (3.2.8) - strscan (>= 3.0.9) + rexml (3.3.9) rouge (3.26.0) - ruby-enum (0.9.0) - i18n ruby2_keywords (0.0.4) rubyzip (2.3.0) safe_yaml (1.0.5) @@ -243,7 +242,6 @@ GEM faraday (> 0.8, < 2.0) simpleidn (0.2.1) unf (~> 0.1.4) - strscan (3.1.0) terminal-table (1.8.0) unicode-display_width (~> 1.1, >= 1.1.1) thread_safe (0.3.6) diff --git a/docs/api/covidcast-signals/google-symptoms.md b/docs/api/covidcast-signals/google-symptoms.md index c9f94a930..f37926242 100644 --- a/docs/api/covidcast-signals/google-symptoms.md +++ b/docs/api/covidcast-signals/google-symptoms.md @@ -9,9 +9,9 @@ nav_order: 1 {: .no_toc} * **Source name:** `google-symptoms` -* **Earliest issue available:** November 30, 2020 +* **Earliest issue available:** Aug 20, 2017 * **Number of data revisions since May 19, 2020:** 1 -* **Date of last change:** January 20, 2022 +* **Date of last change:** February 28, 2025 * **Available for:** county, MSA, HRR, state, HHS, nation (see [geography coding docs](../covidcast_geography.md)) * **Time type:** day (see [date format docs](../covidcast_times.md)) * **License:** To download or use the data, you must agree to the Google [Terms of Service](https://policies.google.com/terms) @@ -19,9 +19,17 @@ nav_order: 1 ## Overview This data source is based on the [COVID-19 Search Trends symptoms -dataset](https://console.cloud.google.com/marketplace/product/bigquery-public-datasets/covid19-search-trends?hl=en-GB). Using -this search data, we estimate the volume of searches mapped to symptom sets related -to COVID-19. The resulting daily dataset for each region shows the average relative frequency of searches for each symptom set. The signals are measured in arbitrary units that are normalized for overall search users in the region and scaled by the maximum value of the normalized popularity within a geographic region across a specific time range. **Values are comparable across signals in the same location but NOT across geographic regions**. For example, within a state, we can compare `s01_smoothed_search` and `s02_smoothed_search`. However, we cannot compare `s01_smoothed_search` between states. Larger numbers represent increased relative popularity of symptom-related searches. +dataset](https://console.cloud.google.com/marketplace/product/bigquery-public-datasets/covid19-search-trends?hl=en-GB). +We use this data to estimate the volume of web searches related +to COVID-19 and H5N1 highly-pathogenic avian influenza (HPAI). + +The resulting daily dataset for each location shows the average relative frequency of searches for sets of specific symptoms. +The signals are measured in arbitrary units that are normalized for overall search users in the location and scaled by the maximum value of the normalized popularity within a location across a specific time range. +Larger numbers represent increased relative popularity of symptom-related searches. + +**Values are comparable across signals in the same location, but NOT between locations or between geographic region types**. +For example, within a state, we can compare `s01_smoothed_search` and `s02_smoothed_search`. +However, we cannot compare `s01_smoothed_search` between states, or between a state and a county. Between May 13 2024 and August 6 2024, [signal values were much lower](#limitations) compared to previous time periods due to a data outage. @@ -33,28 +41,35 @@ Between May 13 2024 and August 6 2024, [signal values were much lower](#limitati * _s04_: Shortness of breath, Wheeze, Croup, Pneumonia, Asthma, Crackles, Acute bronchitis, Bronchitis * _s05_: Anosmia, Dysgeusia, Ageusia * _s06_: Laryngitis, Sore throat, Throat irritation +* _s07_: Conjunctivitis, Red eye, Epiphora, Eye pain, Rheum * _scontrol_: Type 2 diabetes, Urinary tract infection, Hair loss, Candidiasis, Weight gain -The symptoms were combined in sets that showed positive correlation with cases, especially after Omicron was declared a variant of concern by the WHO. Note that symptoms in _scontrol_ are not COVID-19 related, and this symptom set can be used as a negative control. +Symptoms sets _s01_-_s06_ are designed track a variety of COVID-19 systems. +They are positively correlated with COVID-19 cases, especially in the period when the Omicron variant was dominant. +Symptom set _s07_ is designed to track novel eye-related symptoms of H5N1. +Note that symptoms in _scontrol_ are not COVID-19 or H5N1 related. +This symptom set can be used as a negative control. Until January 20, 2022, we had separate signals for symptoms Anosmia, Ageusia, and their sum. | Signal | Description | | --- | --- | -| `s01_raw_search` | The average of Google search volume for related searches of symptom set _s01_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2020-02-14 | -| `s01_smoothed_search` | The average of Google search volume for related searches of symptom set _s01_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2020-02-20 | -| `s02_raw_search` | The average of Google search volume for related searches of symptom set _s02_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2020-02-14 | -| `s02_smoothed_search` | The average of Google search volume for related searches of symptom set _s02_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2020-02-20 | -| `s03_raw_search` | The average of Google search volume for related searches of symptom set _s03_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2020-02-14 | -| `s03_smoothed_search` | The average of Google search volume for related searches of symptom set _s03_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2020-02-20 | -| `s04_raw_search` | The average of Google search volume for related searches of symptom set _s04_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2020-02-14 | -| `s04_smoothed_search` | The average of Google search volume for related searches of symptom set _s04_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2020-02-20 | -| `s05_raw_search` | The average of Google search volume for related searches of symptom set _s05_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2020-02-14 | -| `s05_smoothed_search` | The average of Google search volume for related searches of symptom set _s05_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2020-02-20 | -| `s06_raw_search` | The average of Google search volume for related searches of symptom set _s06_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2020-02-14 | -| `s06_smoothed_search` | The average of Google search volume for related searches of symptom set _s06_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2020-02-20 | -| `scontrol_raw_search` | The average of Google search volume for related searches of symptom set _scontrol_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2020-02-14 | -| `scontrol_smoothed_search` | The average of Google search volume for related searches of symptom set _scontrol_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2020-02-20 | +| `s01_raw_search` | The average of Google search volume for related searches of symptom set _s01_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2017-08-15 | +| `s01_smoothed_search` | The average of Google search volume for related searches of symptom set _s01_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2017-08-21 | +| `s02_raw_search` | The average of Google search volume for related searches of symptom set _s02_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2017-08-15 | +| `s02_smoothed_search` | The average of Google search volume for related searches of symptom set _s02_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2017-08-21 | +| `s03_raw_search` | The average of Google search volume for related searches of symptom set _s03_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2017-08-15 | +| `s03_smoothed_search` | The average of Google search volume for related searches of symptom set _s03_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2017-08-21 | +| `s04_raw_search` | The average of Google search volume for related searches of symptom set _s04_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2017-08-15 | +| `s04_smoothed_search` | The average of Google search volume for related searches of symptom set _s04_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2017-08-21 | +| `s05_raw_search` | The average of Google search volume for related searches of symptom set _s05_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2017-08-15 | +| `s05_smoothed_search` | The average of Google search volume for related searches of symptom set _s05_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2017-08-21 | +| `s06_raw_search` | The average of Google search volume for related searches of symptom set _s06_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2017-08-15 | +| `s06_smoothed_search` | The average of Google search volume for related searches of symptom set _s06_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2017-08-21 | +| `s07_raw_search` | The average of Google search volume for related searches of symptom set _s07_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2017-08-15 | +| `s07_smoothed_search` | The average of Google search volume for related searches of symptom set _s07_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2017-08-21 | +| `scontrol_raw_search` | The average of Google search volume for related searches of symptom set _scontrol_, in an arbitrary units that are normalized for overall search users.
**Earliest date available:** 2017-08-15 | +| `scontrol_smoothed_search` | The average of Google search volume for related searches of symptom set _scontrol_, in an arbitrary units that are normalized for overall search users, smoothed by 7-day average.
**Earliest date available:** 2017-08-21 | | `anosmia_raw_search` | Google search volume for anosmia-related searches, in arbitrary units that are normalized for overall search users. _This signal is no longer updated as of 20 January, 2022._
**Earliest date available:** 2020-02-13 | | `anosmia_smoothed_search` | Google search volume for anosmia-related searches, in arbitrary units that are normalized for overall search users, smoothed by 7-day average. _This signal is no longer updated as of 20 January, 2022._
**Earliest date available:** 2020-02-20 | | `ageusia_raw_search` | Google search volume for ageusia-related searches, in arbitrary units that are normalized for overall search users. _This signal is no longer updated as of 20 January, 2022._
**Earliest date available:** 2020-02-13 | @@ -78,7 +93,6 @@ Each signal is the average of the For each symptom set: when search trends for all symptoms are missing, the signal is reported as missing. When search trends are available for at least one of the symptoms, we fill the missing trends for other symptoms with 0 and compute the average. We use this approach because the missing observations in the Google Symptoms search trends dataset do not occur randomly; they represent low popularity and are censored for quality and/or privacy reasons. The same approach is used for smoothed signals. A 7 day moving average is used, and missing raw signals are filled with 0 as long as there is at least one day available within the 7 day window. - ## Geographical Aggregation The state-level and county-level `raw_search` signals for each symptoms set are the average of its individual symptoms search trends, taken directly from the [COVID-19 Search Trends symptoms @@ -115,7 +129,7 @@ The data was unfortunately not recoverable and the dip can not be repaired, but When daily volume in a region does not meet quality or privacy thresholds, set by Google, no daily value is reported. Weekly data may be available from Google -in these cases, but we do not yet support importation using weekly data. +in these cases, but we do not yet support weekly data. Google uses differential privacy, which adds artificial noise to the raw datasets to avoid identifying any individual persons without affecting the @@ -123,8 +137,8 @@ quality of results. Google normalizes and scales time series values to determine the relative popularity of symptoms in searches within each geographical region individually. -This means that the resulting values of symptom set popularity are **NOT** -comparable across geographic regions, while the values of different symptom sets are comparable within the same location. +This means that Delphi's computed symptom set popularity values are **NOT** +comparable _between_ geographic regions or region types, but are comparable within the same location. Standard errors and sample sizes are not available for this data source. diff --git a/docs/symptom-survey/collaboration-revision.md b/docs/symptom-survey/collaboration-revision.md index 6cc65e670..03efee819 100644 --- a/docs/symptom-survey/collaboration-revision.md +++ b/docs/symptom-survey/collaboration-revision.md @@ -2,10 +2,15 @@ title: Collaboration and Survey Revision parent: inactive COVID-19 Trends and Impact Survey nav_order: 1 +nav_exclude: true --- # Collaboration and Survey Revision +
Update: CTIS data collection has ended. We are no longer +revising the survey or hosting collaboration meetings.
+ Delphi continues to revise the COVID-19 Trends and Impact Survey (CTIS) instruments in order to prioritize items that have the greatest utility for the response to the COVID-19 pandemic. We conduct revisions in collaboration with diff --git a/docs/symptom-survey/contingency-tables.md b/docs/symptom-survey/contingency-tables.md index a842a02cd..f92ee1ef4 100644 --- a/docs/symptom-survey/contingency-tables.md +++ b/docs/symptom-survey/contingency-tables.md @@ -8,23 +8,32 @@ nav_order: 4 {: .no_toc} This documentation describes the fine-resolution contingency tables produced by -grouping [US COVID-19 Trends and Impact Survey (CTIS)](./index.md) individual responses by various -self-reported demographic features. +grouping [US COVID-19 Trends and Impact Survey (CTIS)](./index.md) individual +responses by various self-reported demographic features. The contingency tables +are publicly available for download as a complete set from the Inter-university +Consortium for Political Science Research (ICPSR): -* [Weekly files](https://www.cmu.edu/delphi-web/surveys/weekly-rollup/) -* [Monthly files](https://www.cmu.edu/delphi-web/surveys/monthly-rollup/) +* Reinhart, Alex, Mejia, Robin, and Tibshirani, Ryan J. COVID-19 Trends and + Impact Survey (CTIS), United States, 2020-2022. Inter-university Consortium + for Political and Social Research [distributor], 2025-02-28. + + +Select the dataset "DS0 Study-Level Files" to download the complete set of +contingency tables and all survey documentation files, including the codebooks +and an Aggregate Contingency Table User Guide that describes the data +processing and file formats, and includes example R code. These contingency tables provide granular breakdowns of COVID-related topics such as vaccine uptake and acceptance. Compatible tables are also available for the [UMD Global CTIS](https://covidmap.umd.edu/) for more than 100 countries and -territories worldwide, through [UMD's -website](https://covidmap.umd.edu/umdcsvs/Contingency_Tables/). +territories worldwide, also [through +ICPSR](https://www.icpsr.umich.edu/web/ICPSR/studies/39206). -These tables are more detailed than the [coarse aggregates reported in the COVIDcast Epidata API](../api/covidcast-signals/fb-survey.md), which are grouped +These tables are more detailed than the [coarse aggregates reported in the +COVIDcast Epidata API](../api/covidcast-signals/fb-survey.md), which are grouped only by geographic region. [Individual response data](survey-files.md) for the -survey is available, but only to academic or nonprofit researchers who sign a -Data Use Agreement, whereas these contingency tables are available to the -general public. +survey is available, but only to researchers who request restricted data access +via ICPSR, whereas these contingency tables are available to the general public. Please see our survey [credits](index.md#credits) and [citation information](index.md#citing-the-survey) for information on how to cite this data if you use it in a publication. @@ -32,152 +41,3 @@ for information on how to cite this data if you use it in a publication. Our [Data and Sampling Errors](problems.md) documentation lists important updates for data users, including corrections to data or updates on data processing delays. - -## Table of contents -{: .no_toc .text-delta} - -1. TOC -{:toc} - -## Available Data - -We currently provide data files at several levels of geographic and temporal -aggregation. The reason for this is that each file is filtered to only include -estimates for a particular group if that group includes 100 or more responses. -Providing several levels of granularity allows us to provide coverage for a -variety of use cases. For example, users who need the most up-to-date data or -are interested in time series analysis should use the weekly files, while -those who want to study groups with smaller sample sizes should use the -monthly files. Because monthly aggregates include more responses, they have -lower missingness when grouping by several features at a time. - -* [Weekly files](https://www.cmu.edu/delphi-web/surveys/weekly-rollup/) -* [Monthly files](https://www.cmu.edu/delphi-web/surveys/monthly-rollup/) - -Files contain all time periods for a given period type-aggregation -type combination. - -Individual CSVs containing a single [week](https://www.cmu.edu/delphi-web/surveys/weekly/) or [month](https://www.cmu.edu/delphi-web/surveys/monthly/) for a given aggregation type are also available. - -### Dates - -The included files provide estimates for various metrics of interest over a -period of either a full epiweek (or [MMWR -week](https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf), a -standardized numbering of weeks throughout the year) or a full calendar month. - -Note: If a survey item was introduced in the middle of an aggregation period, -derived indicators will be included in aggregations for that period but will -only use a partial week or month of data. - -### Regions - -At the moment, only nation-wide and state groupings are available. - -Facebook only invites users to take the survey if they appear, based on -attributes in their Facebook profiles, to reside in the 50 states or -Washington, DC. Puerto Rico is sampled separately as part of the -[international version of the survey](https://covidmap.umd.edu/). If Facebook -believes a user qualifies for the survey, but the user then replies that they -live in Puerto Rico or another US territory, we do not include their response -in the aggregations. - -### Privacy - -The aggregates are filtered to only include estimates for a particular group -if that group includes 100 or more responses. Especially in the weekly -aggregates, many of the state-level groups have been filtered out due to low -sample size. In such cases, files that group by a single demographic of -interest will likely provide more coverage. - -## File Format - -### Naming - -"Rollup" files containing all time periods for a given period type-aggregation -type combination have names of the form: - - {period_type}_{geo_type}_{aggregation_type}.csv.gz - -Unless noted otherwise, the time period is always a complete month -(`period_type` = `monthly`) or epiweek (`period_type` = `weekly`). `geo_type` is -the geographic level responses were aggregated over. `aggregation_type` is a -concatenated list of other grouping variables used, ordered alphabetically. -Values for variables used in file naming align with those within files as -specified in the column section below. - -### Columns - -Within a CSV, the first few columns store metadata of the aggregation: - -| Column | Description | -| --- | --- | -| `survey_geo` | Survey geography ("US") | -| `period_start` | Date (yyyyMMdd) of first day of time period used in aggregation, in the Pacific time zone (UTC - 7) | -| `period_end` | Date of last day of time period used in aggregation | -| `period_val` | Month or week number | -| `geo_type` | Geography type ("state", "nation") | -| `aggregation_type` | Concatenated list of grouping variables, ordered alphabetically | -| `country` | Country name ("United States") | -| `ISO_3` | Three-letter ISO country code ("USA") | -| `GID_0` | GADM level 0 ID | -| `state` | State name; "Overall" if aggregation not grouped at the state level | -| `GID_1` | GADM level 1 ID | -| `state_fips` | State FIPS code; `NA` if aggregation not grouped at the state level | -| `county` | County name; "Overall" if aggregation not grouped at the county level | -| `county_fips` | County FIPS code; `NA` if aggregation not grouped at the county level | -| `issue_date` | Date on which estimates were generated | - -These are followed by the grouping variables used in the aggregation, ordered -alphabetically, and the indicators. Each indicator reports four columns -(unrounded): - -* `val_`: the main value of interest, e.g., percent, average, or - count, estimated using the [survey weights](weights.md) to better match state - demographics -* `se_`: the standard error of `val_` -* `sample_size_`: the number of survey responses used to - calculate `val_` -* `represented_`: the number of people in the population that - `val_` represents over all days in the given time period. This - is the sum of [survey weights](./weights.md) for all survey responses - used. - -All aggregates using the same set of grouping variables appear in a single CSV. - -### Missing Values - -Grouping variables (including region) will be missing (`NA`) to represent -respondents who provided one or more responses to survey items used for -indicators (e.g., vaccine uptake) but who did not provide a response to the -survey item used for the particular grouping variable. For example, if -grouping by gender, we would report the groups: male, female, other, and `NA`, -respondents who did not provide a response to the gender question. - -For a given respondent group (25-34 year old healthcare workers in Nebraska, -e.g.) sample size can vary by indicator because of the survey display logic. -For example, all respondents are asked if they have received a COVID-19 -vaccination (item V1), but only those who say they *have* are asked how many -doses they have received (item V2). This means that the sample size for V2 is -smaller than that for V1. Because indicators are [censored](#privacy) -individually, it is possible that V1-derived indicators will be reported for a -given group while V2-derived indicators are not. In this case, the V2-derived -indicator columns will be marked as missing (`NA`) for that group. - -## Indicators - -
Indicator -codebook: Our contingency table -codebook (CSV) lists all indicators available in the US contingency tables -for download, and specifies the survey questions on which they are based. See -the survey instrument codebook for the full text of -all questions.
- -The files contain [weighted estimates](../api/covidcast-signals/fb-survey.md#survey-weighting-and-estimation) -of the percent of respondents who fulfill one or several criteria. Estimates are -broken out by state, age, gender, race, ethnicity, occupation, and health -conditions. - -We plan to expand the list of indicators based on research needs; if you have a -public health or research need for a particular variable not included in our -current tables please contact us at . diff --git a/docs/symptom-survey/data-access.md b/docs/symptom-survey/data-access.md index 23f76afcc..435f07ee2 100644 --- a/docs/symptom-survey/data-access.md +++ b/docs/symptom-survey/data-access.md @@ -20,13 +20,20 @@ characteristics are available for download. ## Getting Microdata Access De-identified individual survey responses can be made available to researchers -associated with universities or non-profit organizations who sign a Data Use -Agreement (DUA). To request access to the data please submit the information -requested in [Facebook's page on obtaining data access](https://dataforgood.facebook.com/dfg/docs/covid-19-trends-and-impact-survey-request-for-data-access), -which sets out the basic conditions and provides a form to request access. An -[international version of CTIS](https://covidmap.umd.edu/) is conducted by the -University of Maryland (UMD) and access can be requested through the same -form. +associated with universities or non-profit organizations who agree to a Data Use +Agreement (DUA). The microdata is archived by the Inter-university Consortium +for Political and Social Research (ICPSR) at the University of Michigan: + +* Reinhart, Alex, Mejia, Robin, and Tibshirani, Ryan J. COVID-19 Trends and + Impact Survey (CTIS), United States, 2020-2022. Inter-university Consortium + for Political and Social Research [distributor], 2025-02-28. + + +Follow the link to view the data description and documentation, and to request +access to the restricted microdata. The survey documentation, including full +codebooks and user guides, is available for public download. Microdata access is +no longer available through direct agreements with Carnegie Mellon University, +so all access must be requested through ICPSR. The United States survey protocol has been reviewed by the Carnegie Mellon University Institutional Review Board with IRB ID STUDY2020_00000162. @@ -44,26 +51,9 @@ Some important notes about obtaining access to the individual survey responses: * Part- or full-time employees of Facebook are **not** eligible to receive data access, since Delphi's agreement with Facebook to protect the privacy of respondents prohibits Facebook employees from receiving any microdata. -* Because this survey is large and many groups have access, the Data Use - Agreements are not negotiable. - -After you complete the request form, staff from Facebook and CMU will be in -contact to guide you through the rest of the process. They will provide data use -agreements for your institution to sign, and will also request a copy of your -Institutional Review Board approval to verify you have ethical approval to -conduct the research. - -After the DUAs are executed, we will ask you to fill out [this -form](http://cmu.ca1.qualtrics.com/jfe/form/SV_89aVsYl29Oay4qq) to set up your -microdata access. This form can be used for new research projects or adding new -researchers to existing projects. - -After completing these forms, credentials for SFTP will be emailed to each -individual on the team. Please **do not share your credentials** with other -users. Only one person per research team needs to fill out this survey. You can -list all relevant team members in one submission. For teams with more than 5 -members, please fill out an additional form(s) to cover your whole team. If you have questions about the process, or your IRB needs information about the survey for their review, contact us at -. +. For all questions about ICPSR's +restricted data access process, contact ICPSR through the forms or email +addresses on their website. diff --git a/docs/symptom-survey/end-of-survey.md b/docs/symptom-survey/end-of-survey.md index f04cc55c6..2ec99ca81 100644 --- a/docs/symptom-survey/end-of-survey.md +++ b/docs/symptom-survey/end-of-survey.md @@ -57,11 +57,7 @@ continue to [request access](./data-access.md) to non-public, non-aggregated survey data for their research, and current approved data users will be able to continue accessing the non-aggregated data until their current data use agreements (DUA) expire. Researchers currently holding a fully executed DUA will -have the option to extend their DUA after it expires. Though no new data will be -collected after June 25, 2022, [Meta’s CTIS -visualizations](https://dataforgood.facebook.com/covid-survey/) will continue to -be available, and until the end of 2022, [JH CCP’s COVID Behaviors -dashboard](https://covidbehaviors.org/) will as well. +have the option to extend their DUA after it expires. ## CTIS Impact diff --git a/docs/symptom-survey/index.md b/docs/symptom-survey/index.md index 1c2f46354..15757abb3 100644 --- a/docs/symptom-survey/index.md +++ b/docs/symptom-survey/index.md @@ -5,28 +5,33 @@ nav_order: 4 # COVID-19 Trends and Impact Survey (CTIS) -Since April 2020, Delphi has conducted a voluntary survey about COVID-19, -distributed daily to users in the United States via a partnership with Facebook. -This survey asks respondents about COVID-like symptoms, their behavior (such as -social distancing), mental health, and economic and health impacts they have -experienced as a result of the pandemic. A high-level overview of the survey is -posted [on the Delphi website](https://delphi.cmu.edu/covid19/ctis/), -and an international version is -[conducted by the University of Maryland](https://covidmap.umd.edu/). +From April 2020 to June 2022, Delphi conducted a voluntary survey about +COVID-19, distributed daily to users in the United States via a partnership with +Facebook. This survey asked respondents about COVID-like symptoms, their +behavior (such as social distancing), mental health, and economic and health +impacts they have experienced as a result of the pandemic. A high-level overview +of the survey is posted [on the Delphi +website](https://delphi.cmu.edu/epidemic-signals/ctis/), and an international +version is [conducted by the University of Maryland](https://covidmap.umd.edu/). Data collection [ceased on June 25, 2022](end-of-survey.md). This survey was also known unofficially as the Facebook Survey. More survey details are also available [on the COVID-19 Trends and Impact Survey 2020-2022 (inactive) page](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/fb-survey.html) under the COVIDcast Main Endpoint's Data Source and Signals section of this API documentation site. -The [CTIS Methodology -Report](https://dataforgood.facebook.com/dfg/resources/CTIS-methodology-report) -describes the survey design, data collection process, weighting, and aggregation -processes, and is the primary reference for researchers working with the survey -data. This website describes details specific to the US version of the survey -and documents the individual response data, which is available to researchers -with a signed Data Use Agreement. If you are a researcher and would like to get -access to the data, see our page on getting [data access](data-access.md). +The survey dataset is now archived via ICPSR: + +* Reinhart, Alex, Mejia, Robin, and Tibshirani, Ryan J. COVID-19 Trends and + Impact Survey (CTIS), United States, 2020-2022. Inter-university Consortium + for Political and Social Research [distributor], 2025-02-28. + + +The archive includes complete documentation, including a Methodology Report on +survey design, a survey weighting guide, guides to the aggregate and microdata, +and example code. Aggregate contingency tables are available for public download +and restricted microdata can be obtained upon request. If you are a researcher +and would like to get access to the data, see our page on getting [data +access](data-access.md). If you have questions about the survey or getting access to data, contact us at . @@ -59,19 +64,15 @@ include: The survey protocol is reviewed by the Carnegie Mellon University Institutional Review Board. -The support of several institutions makes the survey possible. Facebook supports -the survey through recruitment (participants are invited via their News Feed), -survey sampling and weighting procedures, technical assistance in survey design -and implementation, and coordination with researchers and public health -officials. The University of Maryland's Social Data Science Center conducts a -[global version of the survey](https://covidmap.umd.edu/), and we coordinate -closely on survey design and implementation. Delphi collects, aggregates, and -distributes the US survey data, and retains ultimate responsibility for the US -survey instrument and data. - -We develop the survey collaboratively with data users, public health officials, -and others. If you are interested in getting involved, see our -[collaboration and survey revision information](collaboration-revision.md). +The support of several institutions makes the survey possible. Facebook +supported the survey through recruitment (participants are invited via their +News Feed), survey sampling and weighting procedures, technical assistance in +survey design and implementation, and coordination with researchers and public +health officials. The University of Maryland's Social Data Science Center +conducted a [global version of the survey](https://covidmap.umd.edu/), and we +coordinated closely on survey design and implementation. Delphi collected, +aggregated, and distributes the US survey data, and retains ultimate +responsibility for the US survey instrument and data. ## Citing the Survey @@ -96,8 +97,11 @@ the survey in publications based on the data. Specifically, we ask that you: individual survey results. If you are unsure whether a particular aggregation will prevent disclosure of individual survey results, please email us at . -4. Finally, send a copy of your publication, once it appears publicly as a - preprint or journal article, to . +4. Finally, please notify us when your research is published. If you obtained + the data via ICPSR, please [visit their + site](https://www.icpsr.umich.edu/web/ICPSR/studies/39207) to find the form + to submit data-related publications; otherwise, send a copy of your + publication to . When referring to the survey in text, we prefer the following formats: diff --git a/docs/symptom-survey/server-access.md b/docs/symptom-survey/server-access.md index c27b3e15b..8342bfdb6 100644 --- a/docs/symptom-survey/server-access.md +++ b/docs/symptom-survey/server-access.md @@ -2,10 +2,17 @@ title: SFTP Server Access parent: inactive COVID-19 Trends and Impact Survey nav_order: 2 +nav_exclude: true --- # SFTP Server Access +
Note: This page describes access for data users who have +an agreement directly with CMU. Those who request access via ICPSR should +follow their instructions and procedures.
+ Researchers with data use agreements to access the raw data from the COVID-19 Trends and Impact Survey (CTIS) can access the data over SFTP. (If you do not have a data use agreement, see the [main survey page](index.md) for diff --git a/docs/symptom-survey/survey-files.md b/docs/symptom-survey/survey-files.md index e2bf0ed44..705233ed3 100644 --- a/docs/symptom-survey/survey-files.md +++ b/docs/symptom-survey/survey-files.md @@ -2,11 +2,19 @@ title: Response Files parent: inactive COVID-19 Trends and Impact Survey nav_order: 3 +nav_exclude: true --- # Response Files {: .no_toc} +
Note: This page is obsolete. Users who obtain the survey +data via ICPSR +should consult the Microdata User Guide provided in the study-level data +package. This guide documents the format of the data and includes example code +for common use cases.
+ Users with access to the [COVID-19 Trends and Impact Survey (CTIS)](./index.md) individual response data should have received SFTP credentials for a private server where the data are stored. To connect to the server, see the diff --git a/requirements.api.txt b/requirements.api.txt index f9a46b113..98de8fa6a 100644 --- a/requirements.api.txt +++ b/requirements.api.txt @@ -2,7 +2,6 @@ delphi_utils epiweeks==2.1.2 Flask==2.2.5 Flask-Limiter==3.3.0 -jinja2==3.1.4 more_itertools==8.4.0 mysqlclient==2.1.1 orjson==3.9.15 @@ -17,4 +16,4 @@ SQLAlchemy==1.4.40 structlog==22.1.0 tenacity==7.0.0 typing-extensions -werkzeug==2.3.8 +werkzeug==3.0.6 diff --git a/src/client/delphi_epidata.R b/src/client/delphi_epidata.R index 086c972fb..b3c8e05b1 100644 --- a/src/client/delphi_epidata.R +++ b/src/client/delphi_epidata.R @@ -15,7 +15,7 @@ Epidata <- (function() { # API base url BASE_URL <- getOption('epidata.url', default = 'https://api.delphi.cmu.edu/epidata/') - client_version <- '4.1.31' + client_version <- '4.1.32' auth <- getOption("epidata.auth", default = NA) diff --git a/src/client/delphi_epidata.js b/src/client/delphi_epidata.js index 85dc2c1da..9aaddddb1 100644 --- a/src/client/delphi_epidata.js +++ b/src/client/delphi_epidata.js @@ -22,7 +22,7 @@ } })(this, function (exports, fetchImpl, jQuery) { const BASE_URL = "https://api.delphi.cmu.edu/epidata/"; - const client_version = "4.1.31"; + const client_version = "4.1.32"; // Helper function to cast values and/or ranges to strings function _listitem(value) { diff --git a/src/client/packaging/npm/package.json b/src/client/packaging/npm/package.json index 500422614..5842ea9ef 100644 --- a/src/client/packaging/npm/package.json +++ b/src/client/packaging/npm/package.json @@ -2,7 +2,7 @@ "name": "delphi_epidata", "description": "Delphi Epidata API Client", "authors": "Delphi Group", - "version": "4.1.31", + "version": "4.1.32", "license": "MIT", "homepage": "https://github.com/cmu-delphi/delphi-epidata", "bugs": { diff --git a/src/server/_config.py b/src/server/_config.py index d7a782d23..e5ac1e61a 100644 --- a/src/server/_config.py +++ b/src/server/_config.py @@ -7,7 +7,7 @@ load_dotenv() -VERSION = "4.1.31" +VERSION = "4.1.32" MAX_RESULTS = int(10e6) MAX_COMPATIBILITY_RESULTS = int(3650) diff --git a/src/server/endpoints/covidcast_utils/db_signals.csv b/src/server/endpoints/covidcast_utils/db_signals.csv index 07db5a76a..62b44e86d 100644 --- a/src/server/endpoints/covidcast_utils/db_signals.csv +++ b/src/server/endpoints/covidcast_utils/db_signals.csv @@ -1377,6 +1377,8 @@ The symptoms in this set are not COVID-19 related. This signal is intended to be google-symptoms,scontrol_raw_search,TRUE,scontrol_smoothed_search,FALSE,"Searches for: Type 2 diabetes, Urinary tract infection, Hair loss, Candidiasis, Weight gain (7-day average)",scontrol_smoothed_search,scontrol smoothed,,TRUE,TRUE,,,Google Symptoms Search Trends,covid,Search volume,United States,"county,hrr,msa,state,hhs,nation","hrr,msa,hhs,nation",2020-02-20,NA,Ongoing,NA,Google COVID-19 Symptoms Searches,day,Date,daily,4-7 days,None,Google search users,None,symptomatic,"Unavailable when daily volume in a region does not meet quality or privacy thresholds, as set by Google. Google also uses differential privacy, which adds artificial noise to the incoming data","Data is available for about 45% of counties. Data is available for all states. Signals associated with rarer symptoms (e.g. ageusia) will tend to have fewer locations available, due to upstream privacy censoring. Locations with lower populations will tend to be less available for the same reason",Value,raw,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,Google Terms of Service (https://policies.google.com/terms),See license,NA, google-symptoms,sum_anosmia_ageusia_raw_search,FALSE,sum_anosmia_ageusia_raw_search,FALSE,Sum Anosmia Ageusia Searches,sum_anosmia_ageusia_raw_search,anosmia+ageusia,,TRUE,FALSE,"The sum of Google search volume for anosmia and ageusia related searches, in arbitrary units that are normalized for overall search users",,Google Symptoms Search Trends,covid,Search volume,United States,"county,hrr,msa,state,hhs,nation","hrr,msa,hhs,nation",2020-02-13,"Start dates vary by geo: county 2020-02-13, hhs 2020-02-14, hrr 2020-02-13, msa 2020-02-13, nation 2020-02-14, state 2020-02-13",2022-01-20,NA,Google COVID-19 Symptoms Searches,day,Date,daily,4-7 days,None,Google search users,None,symptomatic,"Unavailable when daily volume in a region does not meet quality or privacy thresholds, as set by Google. Google also uses differential privacy, which adds artificial noise to the incoming data","Data is available for about 3-4% of counties. Data is available for about 85% of states. Signals associated with rarer symptoms (e.g. ageusia) will tend to have fewer locations available, due to upstream privacy censoring. Locations with lower populations will tend to be less available for the same reason",Value,raw,public,bad,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,Google Terms of Service (https://policies.google.com/terms),See license,NA,https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/google-symptoms.html google-symptoms,sum_anosmia_ageusia_raw_search,TRUE,sum_anosmia_ageusia_smoothed_search,TRUE,Sum Anosmia Ageusia Searches (7-day average),sum_anosmia_ageusia_smoothed_search,anosmia+ageusia smoothed,,TRUE,FALSE,,,Google Symptoms Search Trends,covid,Search volume,United States,"county,hrr,msa,state,hhs,nation","hrr,msa,hhs,nation",2020-02-20,NA,2022-01-20,NA,Google COVID-19 Symptoms Searches,day,Date,daily,4-7 days,None,Google search users,None,symptomatic,"Unavailable when daily volume in a region does not meet quality or privacy thresholds, as set by Google. Google also uses differential privacy, which adds artificial noise to the incoming data","Data is available for about 3-4% of counties. Data is available for about 85% of states. Signals associated with rarer symptoms (e.g. ageusia) will tend to have fewer locations available, due to upstream privacy censoring. Locations with lower populations will tend to be less available for the same reason",Value,raw,public,bad,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,Google Terms of Service (https://policies.google.com/terms),See license,NA, +google-symptoms,s07_raw_search,FALSE,s07_raw_search,FALSE,"Searches for: Conjunctivitis, Red eye, Epiphora, Eye pain, Rheum",s07_raw_search,conjunctivitis,,TRUE,TRUE,,,Google Symptoms Search Trends,h5n1,Search volume,United States,"county,hrr,msa,state,hhs,nation","hrr,msa,hhs,nation",2020-02-20,NA,2022-01-20,NA,Google COVID-19 Symptoms Searches,day,Date,daily,4-7 days,None,Google search users,None,symptomatic,"Unavailable when daily volume in a region does not meet quality or privacy thresholds, as set by Google. Google also uses differential privacy, which adds artificial noise to the incoming data","Data is available for about 3-4% of counties. Data is available for about 85% of states. Signals associated with rarer symptoms (e.g. ageusia) will tend to have fewer locations available, due to upstream privacy censoring. Locations with lower populations will tend to be less available for the same reason",Value,raw,public,bad,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,Google Terms of Service (https://policies.google.com/terms),See license,, +google-symptoms,s07_smoothed_search,TRUE,s07_smoothed_search,FALSE,"Searches for: Conjunctivitis, Red eye, Epiphora, Eye pain, Rheum",s07_smoothed_search,conjunctivitis smoothed,,TRUE,TRUE,,,Google Symptoms Search Trends,h5n1,Search volume,United States,"county,hrr,msa,state,hhs,nation","hrr,msa,hhs,nation",2020-02-20,NA,2022-01-20,NA,Google COVID-19 Symptoms Searches,day,Date,daily,4-7 days,None,Google search users,None,symptomatic,"Unavailable when daily volume in a region does not meet quality or privacy thresholds, as set by Google. Google also uses differential privacy, which adds artificial noise to the incoming data","Data is available for about 3-4% of counties. Data is available for about 85% of states. Signals associated with rarer symptoms (e.g. ageusia) will tend to have fewer locations available, due to upstream privacy censoring. Locations with lower populations will tend to be less available for the same reason",Value,raw,public,bad,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,Google Terms of Service (https://policies.google.com/terms),See license,, hhs,confirmed_admissions_covid_1d,FALSE,confirmed_admissions_covid_1d,FALSE,Confirmed COVID-19 Admissions per day,confirmed_admissions_covid_1d,"""",Confirmed COVID-19 Admissions per day,TRUE,FALSE,Sum of adult and pediatric confirmed COVID-19 hospital admissions occurring each day. ,The U.S. Department of Health & Human Services (HHS) receives reports from hospital systems on their capacity and admissions. This signal reports the number of adult and pediatric hospital admissions with confirmed COVID-19 occurring each day,U.S. Department of Health & Human Services,covid,Hospitalizations,United States,"state,hhs,nation","hhs,nation",2019-12-31,NA,2024-04-30,NA,HHS Confirmed COVID-19 Admissions,day,Date,weekly,5-11 days,"Monthly. Backfill is relatively uncommon in this dataset (80% of dates from November 1, 2020 onward are never touched after their first issue) and most such updates occur one to two weeks after information about a date is first published. In rare instances, a value may be updated 10 weeks or more after it is first published.",All,None,hospitalized,None,Data is available for all states and some territories.,Value,count,late,bad,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,Public Domain US Government (https://www.usa.gov/government-works),See license,NA,https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/hhs.html hhs,confirmed_admissions_covid_1d,TRUE,confirmed_admissions_covid_1d_prop,FALSE,Confirmed COVID-19 Admissions per day (per 100k people),confirmed_admissions_covid_1d_prop,/ 100k pop,Confirmed COVID-19 Admissions per day (per 100k people),TRUE,FALSE,,,U.S. Department of Health & Human Services,covid,Hospitalizations,United States,"state,hhs,nation","hhs,nation",2019-12-31,NA,2024-04-30,NA,HHS Confirmed COVID-19 Admissions,day,Date,weekly,5-11 days,"Monthly. Backfill is relatively uncommon in this dataset (80% of dates from November 1, 2020 onward are never touched after their first issue) and most such updates occur one to two weeks after information about a date is first published. In rare instances, a value may be updated 10 weeks or more after it is first published.",All,None,hospitalized,None,Data is available for all states and some territories.,Value,per100k,late,bad,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,Public Domain US Government (https://www.usa.gov/government-works),See license,NA, hhs,confirmed_admissions_covid_1d,,confirmed_admissions_covid_1d_7dav,TRUE,Confirmed COVID-19 Admissions per day (7-day average),confirmed_admissions_covid_1d_7dav,7dav,Confirmed COVID-19 Admissions per day (7-day average),TRUE,FALSE,,,U.S. Department of Health & Human Services,covid,Hospitalizations,United States,"state,hhs,nation","hhs,nation",2020-01-06,NA,2024-04-30,NA,HHS Confirmed COVID-19 Admissions,day,Date,weekly,5-11 days,"Monthly. Backfill is relatively uncommon in this dataset (80% of dates from November 1, 2020 onward are never touched after their first issue) and most such updates occur one to two weeks after information about a date is first published. In rare instances, a value may be updated 10 weeks or more after it is first published.",All,None,hospitalized,None,Data is available for all states and some territories.,Value,count,late,bad,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,Public Domain US Government (https://www.usa.gov/government-works),See license,NA, @@ -1463,12 +1465,12 @@ jhu-csse,deaths_cumulative_num,TRUE,deaths_incidence_prop,FALSE,"Confirmed COVID Delphi diffs to compute incidence. Raw cumulative figures are sometimes corrected by adjusting the reported value for a single day, but revisions do not affect past report dates.",All,None,dead,None,Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,late,bad,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,See license,NA, -nchs-mortality,deaths_allcause_incidence_num,FALSE,deaths_allcause_incidence_num,FALSE,All Causes Deaths (Weekly new),deaths_allcause_incidence_num,incidence,Number of weekly new deaths from all causes,TRUE,TRUE,Number of weekly new deaths from all causes,"Number of weekly new deaths from all causes. +nchs-mortality,deaths_allcause_incidence_num,FALSE,deaths_allcause_incidence_num,FALSE,All Cause Deaths (Weekly new),deaths_allcause_incidence_num,incidence,Number of weekly new deaths from all causes,TRUE,TRUE,Number of weekly new deaths from all causes,"Number of weekly new deaths from all causes. -National provisional death counts is based on death certificate data received and coded by the National Center for Health Statistics ([NCHS](https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm))",NCHS Mortality Data,n/a,Deaths,United States,"state,nation",,2020-05,"Start dates vary by geo: nation 2020-06, state 2020-05",Ongoing,NA,NCHS All Causes Deaths,week,Week,weekly,11-17 days,Weekly. All-cause mortality takes ~6 weeks on average to achieve 99% of its final value (https://link.springer.com/article/10.1057/s41271-021-00309-7),All,None,dead,"Unavailable by NCHS when counts are between 1 and 9, and for weeks where the counts are less than 50% of the expected number, since these provisional counts are highly incomplete and potentially misleading",Data is available for all states and some territories.,Value,count,late,bad,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,NCHS Data Use Agreement (https://www.cdc.gov/nchs/data_access/restrictions.htm),See license,https://www.cdc.gov/nchs/data_access/restrictions.htm,https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nchs-mortality.html +National provisional death counts is based on death certificate data received and coded by the National Center for Health Statistics ([NCHS](https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm))",NCHS Mortality Data,n/a,Deaths,United States,"state,nation",,2020-05,"Start dates vary by geo: nation 2020-06, state 2020-05",Ongoing,NA,NCHS All Cause Deaths,week,Week,weekly,11-17 days,Weekly. All-cause mortality takes ~6 weeks on average to achieve 99% of its final value (https://link.springer.com/article/10.1057/s41271-021-00309-7),All,None,dead,"Unavailable by NCHS when counts are between 1 and 9, and for weeks where the counts are less than 50% of the expected number, since these provisional counts are highly incomplete and potentially misleading",Data is available for all states and some territories.,Value,count,late,bad,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,NCHS Data Use Agreement (https://www.cdc.gov/nchs/data_access/restrictions.htm),See license,https://www.cdc.gov/nchs/data_access/restrictions.htm,https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nchs-mortality.html nchs-mortality,deaths_allcause_incidence_num,TRUE,deaths_allcause_incidence_prop,FALSE,"All Causes Deaths (Weekly new, per 100k people)",deaths_allcause_incidence_prop,incidence / 100k pop,"Number of weekly new deaths from all causes, per 100k people",TRUE,TRUE,"Number of weekly new deaths from all causes, per 100k people","Number of weekly new deaths from all causes, per 100k people. -National provisional death counts is based on death certificate data received and coded by the National Center for Health Statistics ([NCHS](https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm))",NCHS Mortality Data,n/a,Deaths,United States,"state,nation",,2020-05,"Start dates vary by geo: nation 2020-06, state 2020-05",Ongoing,NA,NCHS All Causes Deaths,week,Week,weekly,11-17 days,Weekly. All-cause mortality takes ~6 weeks on average to achieve 99% of its final value (https://link.springer.com/article/10.1057/s41271-021-00309-7),All,None,dead,"Unavailable by NCHS when counts are between 1 and 9, and for weeks where the counts are less than 50% of the expected number, since these provisional counts are highly incomplete and potentially misleading",Data is available for all states and some territories.,Value,per100k,late,bad,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,NCHS Data Use Agreement (https://www.cdc.gov/nchs/data_access/restrictions.htm),See license,https://www.cdc.gov/nchs/data_access/restrictions.htm, +National provisional death counts is based on death certificate data received and coded by the National Center for Health Statistics ([NCHS](https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm))",NCHS Mortality Data,n/a,Deaths,United States,"state,nation",,2020-05,"Start dates vary by geo: nation 2020-06, state 2020-05",Ongoing,NA,NCHS All Cause Deaths,week,Week,weekly,11-17 days,Weekly. All-cause mortality takes ~6 weeks on average to achieve 99% of its final value (https://link.springer.com/article/10.1057/s41271-021-00309-7),All,None,dead,"Unavailable by NCHS when counts are between 1 and 9, and for weeks where the counts are less than 50% of the expected number, since these provisional counts are highly incomplete and potentially misleading",Data is available for all states and some territories.,Value,per100k,late,bad,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,NCHS Data Use Agreement (https://www.cdc.gov/nchs/data_access/restrictions.htm),See license,https://www.cdc.gov/nchs/data_access/restrictions.htm, nchs-mortality,deaths_covid_and_pneumonia_notflu_incidence_num,FALSE,deaths_covid_and_pneumonia_notflu_incidence_num,FALSE,COVID and Pneumonia excl. Influenza Deaths (Weekly new),deaths_covid_and_pneumonia_notflu_incidence_num,incidence,Number of weekly new deaths involving COVID-19 and Pneumonia,TRUE,TRUE,"Number of weekly new deaths involving COVID-19 and Pneumonia, excluding Influenza ","Number of weekly new deaths involving COVID-19 and Pneumonia, excluding Influenza . National provisional death counts is based on death certificate data received and coded by the National Center for Health Statistics ([NCHS](https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm))",NCHS Mortality Data,"covid, pneumonia",Deaths,United States,"state,nation",,2020-05,"Start dates vary by geo: nation 2020-06, state 2020-05",Ongoing,NA,NCHS Pneumonia and COVID-19 excl. Influenza Deaths,week,Week,weekly,11-17 days,Weekly. All-cause mortality takes ~6 weeks on average to achieve 99% of its final value (https://link.springer.com/article/10.1057/s41271-021-00309-7),All,None,dead,"Unavailable by NCHS when counts are between 1 and 9, and for weeks where the counts are less than 50% of the expected number, since these provisional counts are highly incomplete and potentially misleading",Data is available for all states and some territories.,Value,count,late,bad,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,NCHS Data Use Agreement (https://www.cdc.gov/nchs/data_access/restrictions.htm),See license,https://www.cdc.gov/nchs/data_access/restrictions.htm,https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nchs-mortality.html @@ -1526,39 +1528,39 @@ Discontinued May 19, 2020.",Quidel Inc. (Flu),flu,Testing,United States,"msa,sta quidel-flu,raw_tests_per_device,TRUE,smoothed_tests_per_device,FALSE,Flu Tests: Tests Per Device (7-day average),smoothed_tests_per_device,"tests per device, 7dav","average number of flu tests conducted by each testing device, 7-day average",TRUE,FALSE,,,Quidel Inc. (Flu),flu,Testing,United States,"msa,state","msa,state",2020-01-31,NA,2020-05-10,NA,Quidel influenza lab tests (early pandemic period),day,Date,daily,5-6 days,Daily. Happens up to 6+ weeks after the report date. Revised values vary -3.5 to 1.8% around the final value for a given date and location.,Nationwide Quidel testing equipment network,None,population,"Discarded when an estimate is based on fewer than 50 tests. For smoothed signals at the county, MSA, and HRR levels with between 25 and 50 tests, the estimate is computed with the original N tests and 50-N synthetic tests that have the same test positivity rate as the parent state (state with the largest proportion of the population in this region); estimates are entirely discarded when based on fewer than 25 tests","Data is available for about 50% of counties, and all or nearly all states.",Number of Tests,count,late,bad,TRUE,FALSE,FALSE,TRUE,TRUE,Delphi,public,CC BY,Quidel provides Delphi data solely for internal research use and non-commercial research and analytics purposes for developing models for forecasting influenza-like epidemics and pandemics (CC BY).,https://drive.google.com/drive/u/1/folders/1HhOEbXlZXN9YpHBWOfrY7Wo2USVVfJVS, safegraph-daily,completely_home_prop,FALSE,completely_home_prop,FALSE,Completely Home,completely_home_prop,completely home,fraction of mobile devices that did not leave their home,TRUE,FALSE,The fraction of mobile devices that did not leave the immediate area of their home,"The fraction of mobile devices that did not leave the immediate area of their home. This is SafeGraph’s completely_home_device_count / device_count. -Discontinued April 19th, 2021.",SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Daily Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +Discontinued April 19th, 2021.",SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Home Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, -safegraph-daily,completely_home_prop,TRUE,completely_home_prop_7dav,FALSE,Completely Home (7-day average),completely_home_prop_7dav,"completely home, 7dav","fraction of mobile devices that did not leave their home, 7-day average",TRUE,FALSE,,,SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Daily Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +safegraph-daily,completely_home_prop,TRUE,completely_home_prop_7dav,FALSE,Completely Home (7-day average),completely_home_prop_7dav,"completely home, 7dav","fraction of mobile devices that did not leave their home, 7-day average",TRUE,FALSE,,,SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Home Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, safegraph-daily,full_time_work_prop,FALSE,full_time_work_prop,FALSE,Full Time Work/School,full_time_work_prop,fulltime work,fraction of mobile devices at non-home daytime location >6 hours,TRUE,FALSE,The fraction of mobile devices that spent more than 6 hours at one location other than their home during the daytime,"The fraction of mobile devices that spent more than 6 hours at one location other than their home during the daytime. This is SafeGraph’s full_time_work_behavior_devices / device_count. -Discontinued April 19th, 2021.",SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Daily Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +Discontinued April 19th, 2021.",SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Home Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, -safegraph-daily,full_time_work_prop,TRUE,full_time_work_prop_7dav,FALSE,Full Time Work/School (7-day average),full_time_work_prop_7dav,"fulltime work, 7dav","fraction of mobile devices at non-home daytime location >6 hours, 7-day average",TRUE,FALSE,,,SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Daily Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +safegraph-daily,full_time_work_prop,TRUE,full_time_work_prop_7dav,FALSE,Full Time Work/School (7-day average),full_time_work_prop_7dav,"fulltime work, 7dav","fraction of mobile devices at non-home daytime location >6 hours, 7-day average",TRUE,FALSE,,,SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Home Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, safegraph-daily,median_home_dwell_time,FALSE,median_home_dwell_time,FALSE,Median Home Dwell Time,median_home_dwell_time,home time,median time (in minutes) spent at home,TRUE,FALSE,"The median time spent at home for all devices at this location for this time period, in minutes","The median time spent at home for all devices at this location for this time period, in minutes. -Discontinued April 19th, 2021.",SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Daily Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +Discontinued April 19th, 2021.",SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Home Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, -safegraph-daily,median_home_dwell_time,TRUE,median_home_dwell_time_7dav,FALSE,Median Home Dwell Time (7-day average),median_home_dwell_time_7dav,"home time, 7dav","median time (in minutes) spent at home, 7-day average",TRUE,FALSE,,,SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Daily Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,count,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +safegraph-daily,median_home_dwell_time,TRUE,median_home_dwell_time_7dav,FALSE,Median Home Dwell Time (7-day average),median_home_dwell_time_7dav,"home time, 7dav","median time (in minutes) spent at home, 7-day average",TRUE,FALSE,,,SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Home Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,count,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, safegraph-daily,part_time_work_prop,FALSE,part_time_work_prop,FALSE,Part Time Work/School,part_time_work_prop,parttime work,"fraction of mobile devices at non-home daytime location 3-6 hours, 7-day average",TRUE,FALSE,The fraction of devices that spent between 3 and 6 hours at one location other than their home during the daytime,"The fraction of devices that spent between 3 and 6 hours at one location other than their home during the daytime. This is SafeGraph’s part_time_work_behavior_devices / device_count. -Discontinued April 19th, 2021.",SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Daily Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +Discontinued April 19th, 2021.",SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Home Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, -safegraph-daily,part_time_work_prop,TRUE,part_time_work_prop_7dav,FALSE,Part Time Work/School (7-day average),part_time_work_prop_7dav,"partime work, 7dav","fraction of mobile devices at non-home daytime location 3-6 hours, 7-day average",TRUE,FALSE,,,SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Daily Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +safegraph-daily,part_time_work_prop,TRUE,part_time_work_prop_7dav,FALSE,Part Time Work/School (7-day average),part_time_work_prop_7dav,"partime work, 7dav","fraction of mobile devices at non-home daytime location 3-6 hours, 7-day average",TRUE,FALSE,,,SafeGraph (Daily),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-12-01, hrr 2019-01-01, msa 2019-01-01, nation 2020-12-01, state 2019-01-01",2021-04-16,NA,Safegraph Home Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for all counties and some territorial county equivalents. Data is available for all states and some territories.,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, safegraph-weekly,bars_visit_num,FALSE,bars_visit_num,FALSE,Bar Visits,bars_visit_num,bar visits,number of visits to bars,TRUE,FALSE,"Daily number of visits to bars, based on SafeGraph's Weekly Patterns dataset","Delphi receives data from [SafeGraph](https://docs.safegraph.com/docs/weekly-patterns), which collects weekly insights on Points of Interest (POI) using anonymized location data from mobile phones. We select locations that qualify as ""Drinking Places (alcoholic beverages)"" from all the [core places](https://docs.safegraph.com/v4.0/docs/places-manual#section-core-places), then count the number of visits. -Note that these counts only include people whose visits are tracked because they are in SafeGraph's panel; they do not include all bar visits by everyone in the population.",SafeGraph (Weekly),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-11-23, hrr 2019-01-01, msa 2019-01-01, nation 2020-11-23, state 2019-01-01",2022-05-01,NA,Safegraph Weekly Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for about 10% of counties. Data is available for about 90% of states,Visits,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +Note that these counts only include people whose visits are tracked because they are in SafeGraph's panel; they do not include all bar visits by everyone in the population.",SafeGraph (Weekly),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-11-23, hrr 2019-01-01, msa 2019-01-01, nation 2020-11-23, state 2019-01-01",2022-05-01,NA,Safegraph POI Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for about 10% of counties. Data is available for about 90% of states,Visits,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, -safegraph-weekly,bars_visit_num,TRUE,bars_visit_prop,FALSE,Bar Visits (per 100k people),bars_visit_prop,bar visits / 100k pop,number of visits to bars per 100k population,TRUE,FALSE,,,SafeGraph (Weekly),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-11-23, hrr 2019-01-01, msa 2019-01-01, nation 2020-11-23, state 2019-01-01",2022-05-01,NA,Safegraph Weekly Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for about 10% of counties. Data is available for about 90% of states,"Visits per 100,000 people",per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +safegraph-weekly,bars_visit_num,TRUE,bars_visit_prop,FALSE,Bar Visits (per 100k people),bars_visit_prop,bar visits / 100k pop,number of visits to bars per 100k population,TRUE,FALSE,,,SafeGraph (Weekly),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-11-23, hrr 2019-01-01, msa 2019-01-01, nation 2020-11-23, state 2019-01-01",2022-05-01,NA,Safegraph POI Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for about 10% of counties. Data is available for about 90% of states,"Visits per 100,000 people",per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, safegraph-weekly,restaurants_visit_num,FALSE,restaurants_visit_num,FALSE,Restaurant Visits,restaurants_visit_num,restaurant visits,number of visits to full-service restaurants,TRUE,FALSE,"Daily number of visits to restaurants, based on SafeGraph's Weekly Patterns dataset","Delphi receives data from [SafeGraph](https://docs.safegraph.com/docs/weekly-patterns), which collects weekly insights on Points of Interest (POI) using anonymized location data from mobile phones. We select locations that qualify as ""Full-Service Restaurants"" from all the [core places](https://docs.safegraph.com/v4.0/docs/places-manual#section-core-places), then count the number of visits. -Note that these counts only include people whose visits are tracked because they are in SafeGraph's panel; they do not include all restaurant visits by everyone in the population.",SafeGraph (Weekly),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-11-23, hrr 2019-01-01, msa 2019-01-01, nation 2020-11-23, state 2019-01-01",2022-05-01,NA,Safegraph Weekly Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for about 80% of counties Data is available for all states and some territories.,Visits,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +Note that these counts only include people whose visits are tracked because they are in SafeGraph's panel; they do not include all restaurant visits by everyone in the population.",SafeGraph (Weekly),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-11-23, hrr 2019-01-01, msa 2019-01-01, nation 2020-11-23, state 2019-01-01",2022-05-01,NA,Safegraph POI Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for about 80% of counties Data is available for all states and some territories.,Visits,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, -safegraph-weekly,restaurants_visit_num,TRUE,restaurants_visit_prop,FALSE,Restaurant Visits (per 100k people),restaurants_visit_prop,restaurant visits / 100k pop,number of visits to full-service restaurants per 100k population,TRUE,FALSE,,,SafeGraph (Weekly),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-11-23, hrr 2019-01-01, msa 2019-01-01, nation 2020-11-23, state 2019-01-01",2022-05-01,NA,Safegraph Weekly Mobility Data,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for about 80% of counties Data is available for all states and some territories.,"Visits per 100,000 people",per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published +safegraph-weekly,restaurants_visit_num,TRUE,restaurants_visit_prop,FALSE,Restaurant Visits (per 100k people),restaurants_visit_prop,restaurant visits / 100k pop,number of visits to full-service restaurants per 100k population,TRUE,FALSE,,,SafeGraph (Weekly),n/a,Mobility,United States,"county,hrr,msa,state,hhs,nation","county,hrr,msa,state,hhs,nation",2019-01-01,"Start dates vary by geo: county 2019-01-01, hhs 2020-11-23, hrr 2019-01-01, msa 2019-01-01, nation 2020-11-23, state 2019-01-01",2022-05-01,NA,Safegraph POI Mobility,day,Date,weekly,3-11 days,None,Safegraph panel members who use mobile devices,None,population,"None. However, Safegraph uses differential privacy, which adds artificial noise to the incoming data. See https://docs.safegraph.com/docs/social-distancing-metrics for details",Data is available for about 80% of counties Data is available for all states and some territories.,"Visits per 100,000 people",per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,"Delphi is free to publish and otherwise disclose the results of its Research (including but not limited to reports and papers and other activities conducted under the Research), including analyses and/or aggregated reporting of the Data. However, the underlying raw Data may not be published without Licensor’s consent.",https://drive.google.com/drive/u/1/folders/1qkcUpdkJOkbSBBszrSCA4n1vSQKSlv3x, usa-facts,confirmed_cumulative_num,FALSE,confirmed_cumulative_num,FALSE,Confirmed COVID Cases (Cumulative),confirmed_cumulative_num,cumulative,"cumulative counts, unsmoothed",TRUE,FALSE,Cumulative confirmed COVID cases,Confirmed COVID-19 cases as reported by [USAFacts](https://usafacts.org/visualizations/coronavirus-covid-19-spread-map/),USAFacts,covid,Cases,United States,"county,hrr,msa,state,hhs,nation","hrr,msa,state,hhs,nation",2020-01-25,NA,2023-01-02,NA,USA Facts Confirmed COVID-19 Cases,day,Date,weekly,2-8 days,"None. The raw data reports cumulative cases and deaths, which Delphi diffs to compute incidence. Raw cumulative figures are sometimes corrected by adjusting the reported value for a single day, but revisions do not affect past report dates.",All,None,ascertained (case),None,Data is available for all counties and some territorial county equivalents. Data is available for all states.,Value,count,cases_testing,bad,FALSE,FALSE,TRUE,FALSE,FALSE,public,public,CC BY,See license,NA, usa-facts,confirmed_cumulative_num,TRUE,confirmed_7dav_incidence_num,TRUE,"Confirmed COVID Cases (Daily new, 7-day average)",confirmed_7dav_incidence_num,"incidence, 7dav","incidence counts, 7-day average",TRUE,FALSE,"Daily new confirmed COVID cases, 7-day average ",,USAFacts,covid,Cases,United States,"county,hrr,msa,state,hhs,nation","hrr,msa,state,hhs,nation",2020-02-01,NA,2023-01-02,NA,USA Facts Confirmed COVID-19 Cases,day,Date,weekly,2-8 days,"None. The raw data reports cumulative cases and deaths, which Delphi diffs to compute incidence. Raw cumulative figures are sometimes corrected by adjusting the reported value for a single day, but revisions do not affect past report dates.",All,None,ascertained (case),None,Data is available for all counties and some territorial county equivalents. Data is available for all states.,Value,count,cases_testing,bad,TRUE,FALSE,FALSE,FALSE,FALSE,public,public,CC BY,See license,NA, @@ -1628,7 +1630,15 @@ NSSP does not report county-level data for all counties with reporting EDs; some The following states report no data through NSSP at the county level: CA, WA, AK, AZ, AL, CO, SD, ND, MO, AR, FL, OH, NH, CT, NJ. South Dakota, Missouri, and territories report no data through NSSP at the state level.",Percentage,percent,other,bad,TRUE,FALSE,FALSE,FALSE,FALSE,,,,,, -nhsn,confirmed_admissions_covid_ew,FALSE,confirmed_admissions_covid_ew,FALSE,Confirmed COVID-19 hospital admissions per week,confirmed_admissions_covid_ew,final,COVID-19 hospital admissions per week (final),TRUE,TRUE,Total number of patients hospitalized with confirmed COVID-19 over the entire week (Sunday-Saturday).,Total number of patients hospitalized with confirmed COVID-19 over the entire week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Friday or Saturday of the following week.,National Healthcare Safety Network Respiratory Hospitalizations,covid,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,NHSN COVID-19 hospitalizations,week,Week,weekly,,,,,,,,,,,,,,,,,,,,,, -nhsn,confirmed_admissions_covid_ew_prelim,FALSE,confirmed_admissions_covid_ew_prelim,FALSE,Confirmed COVID-19 hospital admissions per week (preliminary),confirmed_admissions_covid_ew_prelim,prelim,COVID-19 hospital admissions per week (preliminary),TRUE,TRUE,Total number of patients hospitalized with confirmed COVID-19 over the entire week (Sunday-Saturday).,Total number of patients hospitalized with confirmed COVID-19 over the entire week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Wednesday of the following week.,National Healthcare Safety Network Respiratory Hospitalizations,covid,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,NHSN COVID-19 hospitalizations,week,Week,weekly,,,,,,,,,,,,,,,,,,,,,, -nhsn,confirmed_admissions_flu_ew,FALSE,confirmed_admissions_flu_ew,FALSE,Confirmed influenza hospital admissions per week,confirmed_admissions_flu_ew,final,flu hospital admissions per week (final),TRUE,TRUE,Total number of patients hospitalized with confirmed influenza over the entire week (Sunday-Saturday). ,Total number of patients hospitalized with confirmed influenza over the entire week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Friday or Saturday of the following week.,National Healthcare Safety Network Respiratory Hospitalizations,flu,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,NHSN flu hospitalizations,week,Week,weekly,,,,,,,,,,,,,,,,,,,,,, -nhsn,confirmed_admissions_flu_ew_prelim,FALSE,confirmed_admissions_flu_ew_prelim,FALSE,Confirmed influenza hospital admissions per week (preliminary),confirmed_admissions_flu_ew_prelim,prelim,flu hospital admissions per week (preliminary),TRUE,TRUE,Total number of patients hospitalized with confirmed influenza over the entire week (Sunday-Saturday).,Total number of patients hospitalized with confirmed influenza over the entire week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Wednesday of the following week.,National Healthcare Safety Network Respiratory Hospitalizations,flu,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,NHSN flu hospitalizations,week,Week,weekly,,,,,,,,,,,,,,,,,,,,,, \ No newline at end of file +nhsn,confirmed_admissions_covid_ew,FALSE,confirmed_admissions_covid_ew,FALSE,Confirmed COVID-19 hospital admissions per week,confirmed_admissions_covid_ew,"""",COVID-19 hospital admissions per week (final),TRUE,TRUE,COVID-19 hospital admissions per week (final),Total number of patients hospitalized with confirmed COVID-19 over the epi-week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Friday or Saturday of the following week.,National Healthcare Safety Network,covid,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,NHSN COVID-19 hospitalizations,week,Week,weekly,,,,,hospitalized,,,,count,,,,,,,,,,,,, +nhsn,hosprep_confirmed_admissions_covid_ew,FALSE,hosprep_confirmed_admissions_covid_ew,FALSE,Count of hospitals reporting new Covid admissions per week,hosprep_confirmed_admissions_covid_ew,"""",Hospitals reporting new Covid admissions per week (final),TRUE,TRUE,Hospitals reporting new Covid admissions per week (final),Total number of hospitals reporting new admissions with confirmed COVID-19 over the epi-week week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Friday or Saturday of the following week.,National Healthcare Safety Network,covid,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,,week,Week,weekly,,,,,hospitalized,,,,count,,,,,,,,,,,,, +nhsn,confirmed_admissions_covid_ew_prelim,FALSE,confirmed_admissions_covid_ew_prelim,FALSE,Confirmed COVID-19 hospital admissions per week (preliminary),confirmed_admissions_covid_ew_prelim,"""",COVID-19 hospital admissions per week (preliminary),TRUE,TRUE,COVID-19 hospital admissions per week (preliminary),Total number of patients hospitalized with confirmed COVID-19 over the epi-week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Wednesday of the following week.,National Healthcare Safety Network,covid,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,NHSN COVID-19 hospitalizations,week,Week,weekly,,,,,hospitalized,,,,count,,,,,,,,,,,,, +nhsn,hosprep_confirmed_admissions_covid_ew_prelim,FALSE,hosprep_confirmed_admissions_covid_ew_prelim,FALSE,Count of hospitals reporting new Covid admissions per week (preliminary),hosprep_confirmed_admissions_covid_ew_prelim,"""",Hospitals reporting new Covid admissions per week (preliminary),TRUE,TRUE,Hospitals reporting new Covid admissions per week (preliminary),Total number of hospitals reporting new admissions with confirmed COVID-19 over the epi-week week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Wednesday of the following week.,National Healthcare Safety Network,covid,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,,week,Week,weekly,,,,,hospitalized,,,,count,,,,,,,,,,,,, +nhsn,confirmed_admissions_flu_ew,FALSE,confirmed_admissions_flu_ew,FALSE,Confirmed influenza hospital admissions per week,confirmed_admissions_flu_ew,"""",flu hospital admissions per week (final),TRUE,TRUE,flu hospital admissions per week (final),Total number of patients hospitalized with confirmed influenza over the epi-week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Friday or Saturday of the following week.,National Healthcare Safety Network,flu,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,NHSN flu hospitalizations,week,Week,weekly,,,,,hospitalized,,,,count,,,,,,,,,,,,, +nhsn,hosprep_confirmed_admissions_flu_ew,FALSE,hosprep_confirmed_admissions_flu_ew,FALSE,Count of hospitals reporting new flu admissions per week,hosprep_confirmed_admissions_flu_ew,"""",Hospitals reporting new flu admissions per week (final),TRUE,TRUE,Hospitals reporting new flu admissions per week (final),Total number of hospitals reporting new admissions with confirmed flu over the epi-week week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Friday or Saturday of the following week.,National Healthcare Safety Network,flu,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,,week,Week,weekly,,,,,hospitalized,,,,count,,,,,,,,,,,,, +nhsn,confirmed_admissions_flu_ew_prelim,FALSE,confirmed_admissions_flu_ew_prelim,FALSE,Confirmed influenza hospital admissions per week (preliminary),confirmed_admissions_flu_ew_prelim,"""",flu hospital admissions per week (preliminary),TRUE,TRUE,flu hospital admissions per week (preliminary),Total number of patients hospitalized with confirmed influenza over the epi-week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Wednesday of the following week.,National Healthcare Safety Network,flu,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,NHSN flu hospitalizations,week,Week,weekly,,,,,hospitalized,,,,count,,,,,,,,,,,,, +nhsn,hosprep_confirmed_admissions_flu_ew_prelim,FALSE,hosprep_confirmed_admissions_flu_ew_prelim,FALSE,Count of hospitals reporting new flu admissions per week (preliminary),hosprep_confirmed_admissions_flu_ew_prelim,"""",Hospitals reporting new flu admissions per week (preliminary),TRUE,TRUE,Hospitals reporting new flu admissions per week (preliminary),Total number of hospitals reporting new admissions with confirmed flu over the epi-week week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Wednesday of the following week.,National Healthcare Safety Network,flu,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,,week,Week,weekly,,,,,hospitalized,,,,count,,,,,,,,,,,,, +nhsn,confirmed_admissions_rsv_ew,FALSE,confirmed_admissions_rsv_ew,FALSE,Confirmed RSV hospital admissions per week,confirmed_admissions_rsv_ew,"""",RSV hospital admissions per week (final),TRUE,TRUE,RSV hospital admissions per week (final),Total number of patients hospitalized with confirmed RSV-19 over the epi-week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Friday or Saturday of the following week.,National Healthcare Safety Network,rsv,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,,week,Week,weekly,,,,,hospitalized,,,,count,,,,,,,,,,,,, +nhsn,hosprep_confirmed_admissions_rsv_ew,FALSE,hosprep_confirmed_admissions_rsv_ew,FALSE,Count of hospitals reporting new RSV admissions per week,hosprep_confirmed_admissions_rsv_ew,"""",Hospitals reporting new RSV admissions per week (final),TRUE,TRUE,Hospitals reporting new RSV admissions per week (final),Total number of hospitals reporting new admissions with confirmed RSV over the epi-week week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Friday or Saturday of the following week.,National Healthcare Safety Network,rsv,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,,week,Week,weekly,,,,,hospitalized,,,,count,,,FALSE,FALSE,FALSE,FALSE,FALSE,,,,,, +nhsn,confirmed_admissions_rsv_ew_prelim,FALSE,confirmed_admissions_rsv_ew_prelim,FALSE,Confirmed RSV hospital admissions per week (preliminary),confirmed_admissions_rsv_ew_prelim,"""",RSV hospital admissions per week (preliminary),TRUE,TRUE,RSV hospital admissions per week (preliminary),Total number of patients hospitalized with confirmed RSV over the epi-week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Wednesday of the following week.,National Healthcare Safety Network,rsv,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,,week,Week,weekly,,,,,hospitalized,,,,count,,,FALSE,FALSE,FALSE,FALSE,FALSE,,,,,, +nhsn,hosprep_confirmed_admissions_rsv_ew_prelim,FALSE,hosprep_confirmed_admissions_rsv_ew_prelim,FALSE,Count of hospitals reporting new RSV admissions per week (preliminary),hosprep_confirmed_admissions_rsv_ew_prelim,"""",Hospitals reporting new RSV admissions per week (preliminary),TRUE,TRUE,Hospitals reporting new RSV admissions per week (preliminary),Total number of hospitals reporting new admissions with confirmed RSV over the epi-week week (Sunday-Saturday). Only includes hospitalizations whose report was received before the Wednesday of the following week.,National Healthcare Safety Network,rsv,Hospitalizations,United States,"state,hhs,nation",,2020-08-08,,ongoing,,,week,Week,weekly,,,,,hospitalized,,,,count,,,FALSE,FALSE,FALSE,FALSE,FALSE,,,,,, \ No newline at end of file diff --git a/src/server/endpoints/covidcast_utils/db_sources.csv b/src/server/endpoints/covidcast_utils/db_sources.csv index 9b9548551..335009f63 100644 --- a/src/server/endpoints/covidcast_utils/db_sources.csv +++ b/src/server/endpoints/covidcast_utils/db_sources.csv @@ -24,4 +24,5 @@ quidel,quidel-flu,Quidel Inc. (Flu),Quidel,"Quidel, Inc. manufactures diagnostic safegraph,safegraph-daily,SafeGraph (Daily),SafeGraph,"[SafeGraph](https://docs.safegraph.com/docs/social-distancing-metrics) compiles daily mobility information using anonymized location data from mobile phones. This source includes a range of isolation/lockdown behaviors and home dwell time. No longer updated after April 19, 2021.",completely_home_prop,CC BY,https://cmu.box.com/s/m0p1wpet4vuvey7od83n70h0e97ky2kg,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/safegraph.html) nchs-mortality,nchs-mortality,NCHS Mortality Data,National Center for Health Statistics,"This data source of national provisional death counts is based on death certificate data received and coded by the National Center for Health Statistics ([NCHS](https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm)). This data is different from the death data available from USAFacts and JHU CSSE: deaths are reported by the date they occur, not the date they are reported by local health departments, and data is frequently reissued as additional death certificates from recent weeks are received and tabulated.",deaths_allcause_incidence_num,[NCHS Data Use Agreement](https://www.cdc.gov/nchs/data_access/restrictions.htm),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nchs-mortality.html) dsew-cpr,dsew-cpr,COVID-19 Community Profile Report,US Government,"This data source is based on the daily report published by the Data Strategy and Execution Workgroup under the White House COVID-19 Team, which contains detailed daily-resolution figures on cases, deaths, testing, hospital admissions, healthcare resources, and vaccinations.",confirmed_admissions_covid_1d_7dav,[Public Domain US Government](https://www.usa.gov/government-works),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/dsew-cpr.html) -nssp,nssp,National Syndromic Surveillance Program,Centers for Disease Control and Prevention National Syndromic Surveillance Program,"The National Syndromic Surveillance Program (NSSP) is an effort to track epidemiologically relevant conditions. This dataset in particular tracks emergency department (ED) visits arising from a subset of influenza-like illnesses, specifically influenza, COVID-19, and respiratory syncytial virus (RSV).",pct_ed_visits_covid,[Public Domain US Government](https://www.usa.gov/government-works),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nssp.html) \ No newline at end of file +nssp,nssp,National Syndromic Surveillance Program,Centers for Disease Control and Prevention National Syndromic Surveillance Program,"The National Syndromic Surveillance Program (NSSP) is an effort to track epidemiologically relevant conditions. This dataset in particular tracks emergency department (ED) visits arising from a subset of influenza-like illnesses, specifically influenza, COVID-19, and respiratory syncytial virus (RSV).",pct_ed_visits_covid,[Public Domain US Government](https://www.usa.gov/government-works),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nssp.html) +nhsn,nhsn,National Healthcare Safety Network,Centers for Disease Control and Prevention National Healthcare Safety Network,The National Healthcare Safety Network (NHSN) is the nation’s most widely used healthcare-associated infection tracking system. ,confirmed_admissions_covid_ew,[Public Domain US Government](https://www.usa.gov/government-works),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nhsn.html) \ No newline at end of file