Add number of people tested endpoint

[remondevries]

Below a collection of links that contain information that we should include into the API:

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🇮🇹Italy

🔗arcgis.com On the bottom right, data in CSV format are accessible and include the total tested info.

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🇫🇷France (up to 5 March), page 3 of the PDF

🔗santepubliquefrance.fr

The total number of tests is: 6087 negatives, 613 positives; A positivity rate of 10-15% as well as in Italy, higher than other. I'm trying to check other countries as well.

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🇨🇭Switzerland (2020/03/08)

🔗admin.ch

"Suspect cases tested negative (all laboratories combined): more than 4000 persons"

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🇬🇧UK (Updated daily)

🔗gov.uk

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🇨🇳China (Updated daily)

🔗chinacdc.cn

Currently, 674,760 close contacts have been followed-up with, and 20,146 are still under medical observation.

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🇦🇹Austria:

🔗sozialministerium.at

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🇰🇷South Korea

🔗ncov.mohw.go.kr

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Thanks to 👤 Raffaele Tegas for collecting the information above. ℹ️Source

[raftgs]

China (daily update):

only the information on total number of follow-up is provided in the link below.

"Currently, 674,760 close contacts have been followed-up with, and 20,146 are still under medical observation."

http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm#NHCMar09

[raftgs]

Austria:

https://www.sozialministerium.at/Informationen-zum-Coronavirus/Neuartiges-Coronavirus-(2019-nCov).html

[raftgs]

Switzerland removed that line from yesterday's statement, it was like in the screenshot attached

[raftgs]

South Korea:

http://ncov.mohw.go.kr/tcmBoardView.do?brdId=&brdGubun=&dataGubun=&ncvContSeq=353464&contSeq=353464&board_id=&gubun=ALL

[raftgs]

France update:

Today from "Le Figaro":

"Le ministère de la Santé précise par ailleurs qu'environ 1000 tests sont pratiqués chaque jour." (Each day about 1000 tests are performed) Source: https://www.lefigaro.fr/sciences/2020/03/11/01008-20200311LIVWWW00001-en-direct-coronavirus-epidemie-france-stade-3-macron-coree-chine.php

[pascalwhoop]

@unmeshvrije Would you be interested in setting up a structure that pulls this data from each of the sources? We'd need

• a data extraction per country (because there is no central institution collecting this information. Ideally, this would be automated. But I realize that this is only feasible if we're talking HTML.
• a data model for the data

Alternatively, a good first step may be to create a Google Sheets document that has this data + references to sources for each country. We could then consume that data (either as CSV or as json via the official sheets API) and expose it as an endpoint. Thoughts?

[unmeshvrije]

@pascalwhoop , Yes. I suppose first, I would like to come up with a data model. Perhaps an internal data structure we will use for say DS COVID_tested. I could then use beautiful soup (maybe) to scrape the data from these websites. One class per country and one abstract class with methods like

class COPeopleTestedEndpoint(ABC):
def __init__():
    self.n_tested = 0
    self.n_positive = 0
    #...
@abstractmethod
def read_web_page():

@abstractmethod
def get_n_tested():

@abstractmethod
def get_n_positive():

class ItalyPeopleTestedEndpoint(COPeopleTestedEndpoint):
# must implement get_n_tested(), get_n_positive() etc.