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docs: methodology

Great stuff! I wish I could use it for my dashboard Pandemic Estimator but for that your API lacks documentation on methodology. I'm using JHU directly and I know what chaos it is, the most blatant example being that they provide "cumulative data" that's not cumulative quite often in practice. And the whole change of file formats, etc.

Can you please describe methodology how you deal with it? What has been omitted, what has been "adjusted" and how? Thank you!

Places data showing 4/6/20 as the last data.

Thank you very much for putting this together for use. The Places data is showing 4/6/20 as the last data collected, but file shows an update was done 15 hours ago as of 4/8/20 9:37am (mountain time). I usually download this data once a day and it often shows just 1 day behind. Wondering on the places data set. Please help.

In search of COVID-19 daily testing data (exportable)

Good afternoon,

I am actively searching for data related to testing of COVID-19. I have found a few links, but curious to know if there is a particular resource that provides this data in a form that can easily be exported to excel files.

I am particularly interested in seeing how the number of positive COVID-19 cases vary with testing i.e. are we seeing more cases when we test more? How do these numbers vary by location and do we have any resources that provide this very information as gathered both within the US and globally?

Any help guidance you can offer will be greatly appreciated.

deaths.csv is missing the date 2020-03-13

Data for March 13 is missing from the deaths.csv file. (BTW, thanks so much for putting this data together. I was struggling with where to get the U.S. daily region data from after the main site changed their format.)

Last run...

FYI, in the last update USA is shown wrong figures..

Fully relationally normalized DB

Hi, this project looks great! I was wondering if you would also consider supplying a fully relationally normalized DB for easy importing into SQL databases for easy querying. I was thinking something like the following schema:

A places table with the following fields:

id,country,region,city,lat,lon

A reports table with the following fields:

place_id,date,confirmed,deaths,recovered

More fields could be added to this table if more data becomes available. Ideally I think it would be really useful to have

place_id,date,tested,confirmed,hospitalized,icu,deaths,recovered

...but alas, I haven't seen anyone reporting this level of granularity.

If this data was compiled as two CSV files and checked into a git repository somewhere, then we would also have a nice record of changes to any of this data over time.

Data United States

Today data of United States are missing....cumulative case and death are a 0

Add FIPS code to the Stats

For mapping, this seems to be an essential feature. How hard would it be to patch in a FIPS code. Seems like it would be really helpful if users of this API didn't have to figure out a way to map Place + Region + Country -> FIPS Code on their own. Even if this worked only for the United States, I think it would be a big value add. Thoughts?

NY Times data lags JHU data

It seems NY Times is a day or two behind JHU.

One option to maintain up to date State level date would be to freeze the time series state data as is and append data for each new day from the 'live' JHU data (updated hourly).

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