diff --git a/readme.md b/readme.md index dd99f4d..61ea396 100644 --- a/readme.md +++ b/readme.md @@ -4,21 +4,21 @@ - [Fabienne Krauer](https://github.com/fkrauer) - Nicolo Lardelli ## Introduction -Here we collect a timeline of all containment and public health measure taken in Switzerland in the course of the COVID2019 pandemics. This is not of immediate use but we believe it will be very percious for future studies on the effect of different control strategies. +Here we collect a timeline of all containment and public health measure taken in Switzerland in the course of the COVID2019 pandemics. This is not of immediate use but we believe it will be very precious for future studies on the effect of different control strategies. We know this is boring work, but we are grateful to all contributors even if they only contributed to one or two rows of data. ## Motivation The federal council has announced the temporary closure of schools and public places non essential to daily life, ordered the cancellation of mass events and banned the gathering of more than 5 persons. These measures follow -and partially replicate at a federal level- similar measures taken earlier by local authorities and other organisations. These strict measures are considered necessary to slow the spread of the SARS-CoV-2 virus and to mitigate the effects of COVID-2019, the disease it causes. -Measuring the effectiveness of these measures is important for multiple reasons. During the emergency, this information helps improve and quickly adapt policies and -more relevant in a political sense- is helpful to convince poplulations that it is necessary to adhere to them and that the policies are effective. Finally, over a longer timespan, these data are of scientific interest for studies in epidemology. +Measuring the effectiveness of these measures is important for multiple reasons. During the emergency, this information helps improve and quickly adapt policies and -more relevant in a political sense- is helpful to convince populations that it is necessary to adhere to them and that the policies are effective. Finally, over a longer timespan, these data are of scientific interest for studies in epidemilogy. This evaluation rests on three types of data, all of which is actively collected at the moment: - The first pillar is data on the number of confirmed cases and on the number of performed tests, patients with severe disease progression and number of recovered patients. This is part of another [challenge](https://db.schoolofdata.ch/project/73) of this hackathon. This data can be considered the *dependent variable* and can be used directly (with the usual caveats regarding specificity, sensitivity, sampling bias etc.) to measure the effect of the measures. -- The second pillar is auxiliary information such as data on [mobility](https://db.schoolofdata.ch/project/66), [air quality](https://db.schoolofdata.ch/project/63), mobile phone location data (eg https://github.com/statistikZH/monitoring_covid19/blob/master/Mobility_GooglePopularTimeGraph.md) and data on [consumer behavior](https://db.schoolofdata.ch/project/62). This information doesn't directly correlate with case data, however it can be used to infer the adhesion of the general population to the imposed measures regardless of their disease status. +- The second pillar is auxiliary information such as data on [mobility](https://db.schoolofdata.ch/project/66), [air quality](https://db.schoolofdata.ch/project/63), mobile phone location data (e.g. https://github.com/statistikZH/monitoring_covid19/blob/master/Mobility_GooglePopularTimeGraph.md) and data on [consumer behavior](https://db.schoolofdata.ch/project/62). This information doesn't directly correlate with case data, however it can be used to infer the adhesion of the general population to the imposed measures regardless of their disease status. - The third pillar -and the main effort spent in this project so far- is the collection of a reliable, machine readable data set on _all_ the measures taken by authorities and organisations to slow the spread of SARS-CoV-2. This data is the independent variable -or regressor- to be used in later modeling attempt. @@ -46,11 +46,11 @@ The data _must_ be stored in *long* and *tidy* format: if multiple measures for * *city* for measures taken by municipalities * *private* for measures taken by businesses, events and other organisations -- *date_implemented*: the date when the misure first was implemented +- *date_implemented*: the date when the measure was first implemented - *date_lifted*: the date when the measure was lifted -- *measure*: the textual description (possibly in _english_) of the measure. +- *measure*: the textual description (possibly in _English_) of the measure. - *measure_cat* and *measure_sub_cat*: main and sub- category of the measure according to the following codebook. If unsure, leave these fields empty. @@ -82,13 +82,13 @@ To fill the *measure_cat* and *measure_sub_cat* columns, we propose the followi | private institution access | closure of private institutions and businesses with close contact | Including restaurants, bars, clubs, hair dressers, massage and beauty salons | Swiss Epidemics Act, Art. 40, 2b | | private institution access | restriction of access to private institutions: restaurants, bars,… | Including restriction on maximum number of people or minimum distance, business hours, restriction on use of infrastructure | Swiss Epidemics Act, Art. 40, 2b | | public institution access | ban of access to public open areas and parks | | Swiss Epidemics Act, Art. 40, 2c | -| public institution access | ban of access to short- and long-term care facilites | Including hospitals, nursing homes, rehabilitation centers and disabled homes | Swiss Epidemics Act, Art. 40, 2b, Art. 19, 2d | +| public institution access | ban of access to short- and long-term care facilities | Including hospitals, nursing homes, rehabilitation centers and disabled homes | Swiss Epidemics Act, Art. 40, 2b, Art. 19, 2d | | public institution access | closure of public institutions: day care | | Swiss Epidemics Act, Art. 40, 2b | | public institution access | closure of public institutions: museums | | Swiss Epidemics Act, Art. 40, 2b | | public institution access | closure of public institutions: public offices and counters | | Swiss Epidemics Act, Art. 40, 2b | | public institution access | closure of public institutions: schools | | Swiss Epidemics Act, Art. 40, 2b | | public institution access | closure of public institutions: universities | | Swiss Epidemics Act, Art. 40, 2b | -| public institution access | restriction of access to short- and long-term care facilites | Including hospitals, nursing homes, rehabilitation centers and disabled homes | Swiss Epidemics Act, Art. 40, 2b, Art. 19, 2d | +| public institution access | restriction of access to short- and long-term care facilities | Including hospitals, nursing homes, rehabilitation centers and disabled homes | Swiss Epidemics Act, Art. 40, 2b, Art. 19, 2d | | recommendations | | Including information campaigns and recommendations for hand washing, respiratory hygiene and physical distancing | | ## TODO @@ -122,12 +122,12 @@ To fill the *measure_cat* and *measure_sub_cat* columns, we propose the followi ## How to contribute 1. Select an entity where data is still missing or incomplete. -2. Find the correspoding sheet on the collaborative Google Sheet [here](https://drive.google.com/drive/folders/1qy3yExwzflZJKIOcWvhbbhisaWr5qmO5). If the sheet does not exist, create it. +2. Find the corresponding sheet on the collaborative Google Sheet [here](https://drive.google.com/drive/folders/1qy3yExwzflZJKIOcWvhbbhisaWr5qmO5). If the sheet does not exist, create it. 3. For cantonal level, find the corresponding home page of the cantonal administration where recommendations and orders are published. These are usually published as PDF's under "media announcements / Medienmitteilungen" 3. Extract the information given in these published orders into the Google sheet. Use the language you are most comfortable with Extract the following information: - date_implemented: Date of implementation of the measures. Usually this is the date of the publication. If the publication just announces a future measure, do not register it yet as it is not implemented yet. Format is dd.mm.yyyy -- date_lifted: Date when the control measures are lifted or undone. In most cases, you will not know this, so leave the field empty. For actions with a clear time horizon (i.e. School closure), the date_lifted can be added. However, we will have to check this continuously, since these measures are subject to change. Format is dd.mm.yyyy +- date_lifted: Date when the control measures are lifted or undone. In most cases, you will not know this, so leave the field empty. For actions with a clear time horizon (i.e. school closure), the date_lifted can be added. However, we will have to check this continuously, since these measures are subject to change. Format is dd.mm.yyyy - measure: Free text, short description of measures taken. Look for any recommendation or action/orders issued in relation to stopping the transmission. Examples are given below. - measure_cat: category of measure. These are coded according to measures described in the Federal Pandemic law and according to the recommendations of WHO. If you are unsure about the category, leave the field empty. Use only the categories provided, do not make new categories.