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For more details on the columns, see one of the socrata endpoints, e.g. [RSV](https://data.cdc.gov/Public-Health-Surveillance/CDC-Wastewater-Data-for-RSV/45cq-cw4i/about_data) which provides descriptions of all columns.
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## Source-Specific Keys
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|`nwss_source`| Primary Key (Extra Key) | The data provider or laboratory network that analyzed/reported the sample (see [Providers](#providers)). |
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|`sample_index`| Primary Key (Extra Key) | An integer identifier mapped to the original sample's unique ID (`sample_id`). |
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|`pcr_target`| Value Column (Extra Value) | The target pathogen or organism analyzed in the sample (e.g., `sars-cov-2`, `fluav`, `rsv`). |
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|`pcr_target`| Value Column (Extra Value) | The target pathogen or organism analyzed in the sample (e.g., `sars-cov-2`, `fluav`, `rsv`). Include to join onto the auxiliary metadata table|
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## Auxiliary Metadata Table
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Since wastewater treatment facilities have static traits (such as populations served and lab methodologies) that do not change daily, this metadata is served in a companion table via the `/aux_data/` endpoint at `https://delphi.cmu.edu/epidata/v5/aux_data/?source=nwss`.
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Since wastewater treatment facilities have sample-specific traits (such as populations served and lab methodologies) that can change with time, this metadata is served in a companion table via the `/aux_data/` endpoint at `https://delphi.cmu.edu/epidata/v5/aux_data/?source=nwss`.
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The table is keyed by `report_time`, `geo_value`, `time_value`, `nwss_source`, `sample_index`, and `pcr_target`.
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|`cdc_verily`| 2023/10/30-Today | Data analyzed by [Verily](https://verily.com/solutions/public-health/wastewater) on behalf of the CDC directly. |
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|`nwss`| 2020/06/21-Today | Data reported by the respective state, territorial, and local public health agencies; the actual processing may be done by a private lab such as Verily or Biobot, or the agency itself, or a partnering university. |
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|`wws`| 2021/12/26-Today | Data analyzed by [Wastewater Scan](https://www.wastewaterscan.org/en), a Stanford/Emory nonprofit, and then shared with the NWSS. |
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|`wws`| 2021/12/26-Today | Data analyzed by [Wastewater Scan](https://www.wastewaterscan.org/en), a Stanford/Emory nonprofit, and then shared with the NWSS. Use of this data outside of public health decision making requires contacting WastewaterSCAN Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: [wwscan_stanford_emory@lists.stanford.edu](mailto:wwscan_stanford_emory@lists.stanford.edu)) and any use of the data should be cited appropriately (https://data.wastewaterscan.org/about/#18).|
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|`biobot`| 2020-2023 | Data analyzed by [Biobot](https://biobot.io/) and then shared with the NWSS. |
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### Normalization methods
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## Lag and Backfill
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Due to collection, shipping, processing and reporting time, these signals are subject to some lag.
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Typically, this is between 4-6 days.
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These signals are released weekly with ~4 days of latency
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## Source and Licensing
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The NWSS is aggregating data from [Verily](https://verily.com/solutions/public-health/wastewater), State Territorial and Local public health agencies, and [Wastewater Scan](https://www.wastewaterscan.org/en).
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The WastewaterSCAN data were collected as part of the [WastewaterSCAN]([Wastewater Scan](https://www.wastewaterscan.org/en)) / SCAN project, a partnership between Stanford University, Emory University, and Verily funded philanthropically through a gift to Stanford University, and then shared with the NWSS. Anyone seeking to use the database for other purposes or for research is required to contact the WastewaterSCAN / SCAN team (email: [wwscan_stanford_emory@lists.stanford.edu](mailto:wwscan_stanford_emory@lists.stanford.edu)) and any use of the data should be cited appropriately (as described [here](https://data.wastewaterscan.org/about/#18)).
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This data was originally published by the CDC, and is made available here as a convenience to the forecasting community under the terms of the original license, which is [U.S. Government Public Domain](https://www.usa.gov/government-copyright).
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# Delphi V5 API
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This is the documentation for accessing Delphi's epidemiological data streams via the new V5 API. Interactive, endpoint-level documentation is available on the [Delphi V5 API Landing Page](https://delphi.cmu.edu/epidata/v5/docs).
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This is the documentation for accessing Delphi's epidemiological data streams via the new V5 API. These pages focus on the properties of the data, whereas interactive, endpoint-level documentation is available on the [Delphi V5 API Landing Page](https://delphi.cmu.edu/epidata/v5/docs).
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Many database and query patterns in the legacy API (the [COVIDcast endpoint](covidcast.md)) emerged from the rapid demands of the COVID-19 response. However, this legacy setup introduced critical bottlenecks. To address those limitations, the V5 API improves data quality, speeds up development times, and enhances query performance.
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> **Get updates:** Delphi operates a [mailing list](https://lists.andrew.cmu.edu/mailman/listinfo/delphi-covidcast-api) for users of the API. We will use this list to announce changes, corrections to data, and new features. We strongly encourage all users to subscribe.
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> **Get updates:** Delphi operates a [mailing list](https://lists.andrew.cmu.edu/mailman/listinfo/delphi-covidcast-api) for users of the API. We will use this list to announce changes, corrections to data, and new features. We strongly encourage all users to subscribe. This is separate from signing up for an API key
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## Table of contents
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Modern Delphi API clients (R [`epidatr`](https://cmu-delphi.github.io/epidatr/) and Python [`epidatpy`](https://cmu-delphi.github.io/epidatpy/)) support V5 queries natively. You can also explore and test endpoints interactively on the [Delphi V5 API Landing Page](https://delphi.cmu.edu/epidata/v5/docs).
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## Core Data Sources
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## Current Data Sources
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Please note that not all endpoints and sources from the legacy API have been migrated to the V5 API. The currently accessible sources are:
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