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coronavirus-data's Issues

Raw Counts in a Choropleth Map

Publishing the raw counts in a choropleth map is bad practice, since the data isn't normalized. The choropleths should reflect a rate.

Age-specific ZCTA-level data?

Thank you all for providing this data. I'm wondering if we can obtain the zipcode-level data for age groups. The current zipcode data are all cases.

Neighborhood & Race/ethnicity data

Thanks for creating this platform and regularly sharing the updated counts.

I would love to see these data presented by zip code in raw form so that it can linked to existing govt datasets on neighborhood level factors. Currently, I only see tests and positive frequencies by zcta. Are you planning to release hospitalizations, deaths and recovery by zcta as well?

Also, is there any plan to release these data by race/ethnic? For social epidemiologist who examine disparities, this would be crucial information to understand spread and burden in communities of color.

Stay safe everyone.

zip data vs cases file

I've noticed the total number of positives in the zip file (132,001) does not match the total number of cases in the cases-hosp-death file (129,786). Any reason for that? I would think they would be the same.

So much fluctuation in cases, hospitalizations and deaths today

Hello - I track the numbers daily and keep them for review. The differences between the cases-hosp-death file currently posted and the one from yesterday is quite substantial. For example - March 20 has been hovering around 3600-3900 cases since I started tracking on March 31. However, in today's file - they are now at 2594. In total - the number of positive cases for the day nets to be 3420 more since yesterday - which seems directionally correct. But the day by day numbers are way different. Any ideas?

Publish borough level breakdown

Can the data be broken down to the borough level?

Interestingly, USAFacts is publishing confirmed and deaths down to the borough level, which even the NYTimes COVID19 repo nor the JHU COVID19 repo does not do.

https://usafacts.org/visualizations/coronavirus-covid-19-spread-map/

Where do they get the borough breakdowns if not NYCDOMH, which they list as one of their sources?

With the USAFacts data, I was able to pull together this quick boro-level viz using Google Colab
https://colab.research.google.com/drive/17-g0CIG57q13S4p26r6NpCFTLSYA1mBn

Citywide rate question

Is the citywide death rate found in the age and sex files based on confirmed deaths only, or both confirmed and probable?

Date of first death

case-hosp-death.csv lists the first death (DEATH_COUNT: 1) on 3/11/20. News reports and statements from public officials suggest the first death occurred on 3/13/20. Which is correct? Thanks.

Disparity in NYC deaths between NYC DOHMH, NY State, & Johns Hopkins

I had found that for the most part the three sources all more or less agreed with each other until around a week ago, where NYC total cases reported by NY State and Johns Hopkins began to grow at a faster rate than cases reported by NYC's DOHMH. However, starting yesterday evening I noticed that NY State and Johns Hopkins suddenly were reporting far more deaths than NYC, and the gap grew by this evening (2,738 vs 3,485). I do not believe ~750 people were lost in a gap of a day or a few hours. Does anyone know anything about whether they are using different standards in confirming the deaths as COVID-19 related, or have any other explanation?

Lack of metadata

There is currently a substantial lack of metadata regarding what the numbers in this database actually represent. For example, what is the denominator for DEATH_RATE in by-age.csv? Is it confirmed positive cases in that age bracket, or is it total population?

NYC ER Visits/Admits for ILI and Pneumonia

Hey all - based on the line graphs here https://www1.nyc.gov/assets/doh/downloads/pdf/imm/covid-19-syndromic-surveillance-04082020-1.pdf

I was able to roughly compile total numbers for each age group and approximate totals - you can view those here https://github.com/briankoral713/NYC-COVID19-Data/blob/master/ER%20Visits-Admits%20NYC.pdf

Remember these are rough estimations based on the line graphs and don't reflect actual numbers. The trend is that overall visits are on a downtrend however the bulk of ER Visits and Admits reside with the elderly (65+) which has been steadily increasing.

The age group total population numbers are from https://www.baruch.cuny.edu/nycdata/population-geography/pop-demography.htm

Thank you

As someone living in this city I very much appreciate having this data openly available. The landing page is also very well done. Thank you for doing this, it is very much appreciated.

Today's (4/13) case/hospitalization/death count not properly updated

Hello...

Thanks much for posting this data. It's an important resource.

Today's (early) update of case-hosp-death.csv has an updated count of cases, but neither hospitalizations nor deaths are updated -- they match yesterday's numbers. Similarly, the death/hosp numbers on the official NYCDOHMH data page are not updated, even though cases are.

Thanks for your attention!

--Charles Seife

Normalizing to 100,000 Population

I am concerned that the process of normalizing the data to represent 100,000 population may have been based on national coefficients and not NYC based coefficients. I am specifically concerned that the AGE-GROUP presentation here is showing that AGE does not really matter.

When I used Coefficients based on NYC demographics I came up with a different story. I have been especially concerned with the 65-74 age group (Young Retired) have had a disproportional high level of disease incident level from the onset.
Please see my further explanation & assessment here

The readme documentation points to CDC with regards to 100,000 standardization. My review of the CDC document talks about National Coefficients based on National Demographics for a National Survey.

Hospital Cases Discharged

Can the summary file including new cases, hospitalizations and deaths by date be enhanced to include a subset of the hospitalized column providing a count of cases that recovered and were released ?

Discrepancy with Daily Data Summary: Total Cases

Hi, thanks so much for making all these data available. How is "diagnosis date" defined (i.e., from test administered vs results received)? I note that there is a considerable difference between the figures in case-hosp-death.csv and the daily differences between the nyc.gov Daily Data Summary: Total Cases pdfs. Wondering if this might be explained by case-hosp-death.csv using the testing date and Daily Data Summary: Total Cases pdfs using the results date. Any insight appreciated. Thanks again.

tests-by-zcts.csv data issue

Data quality question on tests-by-zcts.csv (cumulative count of New York City residents by ZIP code of residence):

What does it mean if MODZCTA is NA? Does this just mean you don't know their ZIP code but they are still a New York resident? Can we assume that all of these people live in New York if we are mapping these ZIPs to geography?

Tendency

Hi,

I’d like to see the tendency of positive, hospitalizations and death by borough, like a graphic showing day by day by borough, the number of people getting sick and dying. Thank you

Is there a weekly dataset available?

It looks like the data is cumulative, is there a dataset available that shows the number of cases each week for the same attributes (zip code, race, etc)?

Raw data

Does anyone have the raw data grabs from the PDF's published for data older than March 31? This is what I have from pdf's but wanted the historical breakdowns starting March 1st.

Borough Cases Hospitalized Deaths DateTime
Bronx 1071     March 21, 2020 5:00PM
Brooklyn 2484     March 21, 2020 5:00PM
Manhattan 1863     March 21, 2020 5:00PM
Queens 2254     March 21, 2020 5:00PM
Staten Island 437     March 21, 2020 5:00PM
Unknown 5     March 21, 2020 5:00PM
Bronx 1829     March 23, 2020 9:30PM
Brooklyn 3494     March 23, 2020 9:30PM
Manhattan 2572     March 23, 2020 9:30PM
Queens 3621     March 23, 2020 9:30PM
Staten Island 817     March 23, 2020 9:30PM
Unknown 6     March 23, 2020 9:30PM
Bronx 2328     March 24, 2020 9:30PM
Brooklyn 4237     March 24, 2020 9:30PM
Manhattan 2887     March 24, 2020 9:30PM
Queens 4364     March 24, 2020 9:30PM
Staten Island 953     March 24, 2020 9:30PM
Unknown 7     March 24, 2020 9:30PM
Bronx 3924 1071   March 26, 2020 9:30PM
Brooklyn 5705 968   March 26, 2020 9:30PM
Manhattan 3907 729   March 26, 2020 9:30PM
Queens 7026 1659   March 26, 2020 9:30PM
Staten Island 1276 283   March 26, 2020 9:30PM
Unknown 35 10   March 26, 2020 9:30PM
Bronx 4880 1200 79 March 27, 2020 4:00PM
Brooklyn 7091 989 82 March 27, 2020 4:00PM
Manhattan 4627 709 55 March 27, 2020 4:00PM
Queens 8529 1810 124 March 27, 2020 4:00PM
Staten Island 1534 321 26 March 27, 2020 4:00PM
Unknown 36 10   March 27, 2020 4:00PM
Bronx 5352   110 March 28, 2020 10:00AM
Brooklyn 7789   118 March 28, 2020 10:00AM
Manhattan 5036   79 March 28, 2020 10:00AM
Queens 9228   174 March 28, 2020 10:00AM
Staten Island 1718   36 March 28, 2020 10:00AM
Unknown 35     March 28, 2020 10:00AM
Bronx 6250 1729 153 March 29, 2020 10:00AM
Brooklyn 8887 1617 168 March 29, 2020 10:00AM
Manhattan 5582 1074 94 March 29, 2020 10:00AM
Queens 10737 2536 219 March 29, 2020 10:00AM
Staten Island 1984 444 43 March 29, 2020 10:00AM
Unknown 35 10 1 March 29, 2020 10:00AM
Bronx 6925 1880 215 March 30, 2020 5:00PM
Brooklyn 10171 1661 216 March 30, 2020 5:00PM
Manhattan 6060 1075 119 March 30, 2020 5:00PM
Queens 12756 2650 305 March 30, 2020 5:00PM
Staten Island 2140 465 58 March 30, 2020 5:00PM
Unknown 35 10 1 March 30, 2020 5:00PM
Bronx 7815 2056 262 March 31, 2020 5:00PM
Brooklyn 11160 1901 261 March 31, 2020 5:00PM
Manhattan 6538 1130 129 March 31, 2020 5:00PM
Queens 13869 2954 376 March 31, 2020 5:00PM
Staten Island 2354 499 67 March 31, 2020 5:00PM
Unknown 35 9 1 March 31, 2020 5:00PM
NYCAgeRange Cases Hospitalized Deaths DateTime
0 to 17 323     March 23, 2020 9:00AM
18 to 44 5704     March 23, 2020 9:00AM
45 to 64 4069     March 23, 2020 9:00AM
65 to 74 1308     March 23, 2020 9:00AM
75 > 930     March 23, 2020 9:00AM
Unknown 5     March 23, 2020 9:00AM
0 to 17 374     March 24, 2020 10:00AM
18 to 44 6786     March 24, 2020 10:00AM
45 to 64 4906     March 24, 2020 10:00AM
65 to 74 1591     March 24, 2020 10:00AM
75 > 1109     March 24, 2020 10:00AM
Unknown 10     March 24, 2020 10:00AM
0 to 17 446     March 25, 2020 10:00AM
18 to 44 8880     March 25, 2020 10:00AM
45 to 64 6786     March 25, 2020 10:00AM
65 to 74 2226     March 25, 2020 10:00AM
75 > 1633     March 25, 2020 10:00AM
Unknown 40     March 25, 2020 10:00AM
0 to 17 495 46   March 26, 2020 5:00PM
18 to 44 10145 950   March 26, 2020 5:00PM
45 to 64 7869 1749   March 26, 2020 5:00PM
65 to 74 2627 946   March 26, 2020 5:00PM
75 > 1935 1029   March 26, 2020 5:00PM
Unknown 41 0   March 26, 2020 5:00PM
0 to 17 543 47 0 March 27, 2020 4:00PM
18 to 44 11617 971 16 March 27, 2020 4:00PM
45 to 64 9158 1886 78 March 27, 2020 4:00PM
65 to 74 3034 1032 90 March 27, 2020 4:00PM
75 > 2286 1103 182 March 27, 2020 4:00PM
Unknown 67 0   March 27, 2020 4:00PM
0 to 17 573   0 March 28, 2020 9:00AM
18 to 44 12590   22 March 28, 2020 9:00AM
45 to 64 10019   125 March 28, 2020 9:00AM
65 to 74 3354   120 March 28, 2020 9:00AM
75 > 2568   249 March 28, 2020 9:00AM
Unknown 54   1 March 28, 2020 9:00AM
0 to 17 619 67 0 March 29, 2020 10:00AM
18 to 44 14233 1459 33 March 29, 2020 10:00AM
45 to 64 11577 2765 162 March 29, 2020 10:00AM
65 to 74 3954 1499 159 March 29, 2020 10:00AM
75 > 3020 1620 324 March 29, 2020 10:00AM
Unknown 71 0   March 29, 2020 10:00AM
0 to 17 714 72 1 March 30, 2020 5:00PM
18 to 44 16028 1448 54 March 30, 2020 5:00PM
45 to 64 13344 2887 216 March 30, 2020 5:00PM
65 to 74 4496 1612 215 March 30, 2020 5:00PM
75 > 3410 1722 428 March 30, 2020 5:00PM
Unknown 95 0   March 30, 2020 5:00PM
0 to 17 757 74 1 March 31, 2020 5:00PM
18 to 44 17347 1532 67 March 31, 2020 5:00PM
45 to 64 14689 3195 259 March 31, 2020 5:00PM
65 to 74 5015 1826 255 March 31, 2020 5:00PM
75 > 3866 1922 514 March 31, 2020 5:00PM
Unknown 97 0   March 31, 2020 5:00PM
NYCAgeSex Cases Hospitalized Deaths DateTime
Female 3318     March 21, 2020 5:00PM
Male 4787     March 21, 2020 5:00PM
Unknown 10     March 21, 2020 5:00PM
Female 5255     March 23, 2020 9:00AM
Male 7097     March 23, 2020 9:00AM
Unknown 17     March 23, 2020 9:00AM
Female 6374     March 24, 2020 10:00AM
Male 8379     March 24, 2020 10:00AM
Unknown 23     March 24, 2020 10:00AM
Female 8655     March 25, 2020 10:00AM
Male 11325     March 25, 2020 10:00AM
Unknown 31     March 25, 2020 10:00AM
Female 10124 1918   March 26, 2020 5:00PM
Male 12948 2801   March 26, 2020 5:00PM
Unknown 40 1   March 26, 2020 5:00PM
Female 11250   151 March 27, 2020 10:00AM
Male 14279   215 March 27, 2020 10:00AM
Unknown 44     March 27, 2020 10:00AM
Female 12928   206 March 28, 2020 10:00AM
Male 16192   311 March 28, 2020 10:00AM
Unknown 38     March 28, 2020 10:00AM
Female 14837 3001 264 March 29, 2020 10:00AM
Male 18593 4408 414 March 29, 2020 10:00AM
Unknown 44 1   March 29, 2020 10:00AM
Female 16920 3130 334 March 30, 2020 5:00PM
Male 21120 4610 569 March 30, 2020 5:00PM
Unknown 47 1 1 March 30, 2020 5:00PM
Female 18677 3455 401 March 31, 2020 5:00PM
Male 23043 5093 694 March 31, 2020 5:00PM
Unknown 51 1 1 March 31, 2020 5:00PM

Total Deaths to Total Hospitalizations Ratio

First off, thanks so much for this! This data really provides insight into what is actually going on here in the epicenter, so thanks for all of your work in keeping this up to date.

I know hospitalization data is more or less estimated from ER visits/admits. What's interesting is that when you take a ratio of total deaths to total hospitalizations, converted to a percentage, the ratio always increases by a near perfect percentage point every day

...is this just coincidence?? Or is there perhaps a standard time frame from when a patient is admitted into the hospital to when they either succumb or recover?? (The inverse of this ratio - subtracted from 100% - would give you a "survival rate" of sorts, or the percentage of those hospitalized removed from total deaths.)

Or does it have to do with less people being hospitalized vs. succumbing day to day?? The 1% increase is just intriguing.

Thanks again!
-Brian

daily testing data (testing.csv)

Hi,

Thanks so much for making this available.

I was wondering if the data for daily testing- hospitalizations- deaths is still available in testing.csv. I'm not seeing this in the updated repo and we were interested in looking at these numbers.

Best,
Ashley

All-cause mortality?

I'm combining these data with the NCHS mortality surveillance survey, but NCHS has only reported total all-cause mortality for NYC through 3/28. Could you add all-cause mortality to these data?

testing.csv file?

Hi,

Readme says that there should be a file called testing.csv, which is supposed to include "counts of New York City residents with specimens collected for SARS-CoV-2 testing by day, the subsets who tested positive as confirmed COVID-19 cases, were ever hospitalized, and who died."

Will that be posted soon? Also, last week the mayor was promising a count of people admitted into the ICU as well has being hospitalized. Will that be in that file?

Thanks,

COVID-19 Deaths by NYC Zip Code

Is there any way to modify the tests-by-zcta file to include confirmed deaths by zip code? It would be helpful to know the confirmed death rate alongside the positive test rate. If not, where might I find this data (whether as a GitHub project or other form)? Thanks!

death counts off by 5?

thank you for your service

summary.csv reports 4260
case-hosp-death.csv reports 4255

$ date ; date --utc ; curl -s https://raw.githubusercontent.com/nychealth/coronavirus-data/master/summary.csv | grep Deaths ; echo ; curl -s https://raw.githubusercontent.com/nychealth/coronavirus-data/master/case-hosp-death.csv | dos2unix | cut -d, -f4 | grep -v -e "DEATH_COUNT" -e "^\s*$" | paste -sd+ - ; echo ; curl -s https://raw.githubusercontent.com/nychealth/coronavirus-data/master/case-hosp-death.csv | dos2unix | cut -d, -f4 | grep -v -e "DEATH_COUNT" -e "^\s*$" | paste -sd+ - | bc
Thu Apr  9 08:44:49 EDT 2020
Thu Apr  9 12:44:49 UTC 2020
Deaths:,4260

1+1+2+6+9+7+21+25+44+36+45+80+89+110+167+179+230+247+266+319+337+361+362+336+379+327+235+34

4255

(where's my low-priority button)

Data Formatting

Hi All,

First off, thanks so much to the maintainers of this github for all their effots!

My question is if the data tables be updated to include:

  • historical daily numbers
  • demographic info?

As of now, the "summary" csv only contains totals, but there must be a data-set that includes the historical dailies somewhere, as this underlies this view. Would it be possible to get access to that data-set? I am trying to calculate the doubling rate as data evolves, which is not really possible without having access to this historical data.

In short, I'm looking to find a data-set that has all the info available in the pdf historics, e.g. for Total Cases, Deaths and Hospitalizations. As above, these datasets must exist because there are dynamic graphs that display these numbers available here.

It doesn't really look like it would be possible to rebuild this set with the summary data points or calculated data, such as case rate per hundred thousand.

Ideally, a table would look (something) like this, with one for each borough - the age demographics could be built into additional columns, but regardless the point is that this data would be very helpful to run deeper analysis.

Date Tests Run - Date Tests Run- Total Positive Tests - Date - Positive Tests Total Hospitalizations - Date Hospitalizations - Total Fatalities - Date Fatalities - Total
4/9 - Boro-Wide [x] [x] [x] [x] [x] [x] [x] [x]
4/9 - Age 0-17 M [x] [x] [x] [x] [x] [x] [x] [x]
4/9 - Age 18-44 M [x] [x] [x] [x] [x] [x] [x] [x]
4/9 - Age 45-64 M [x] [x] [x] [x] [x] [x] [x] [x]
4/9 - Age 65-74 M [x] [x] [x] [x] [x] [x] [x] [x]
4/9 - Age 75+ M [x] [x] [x] [x] [x] [x] [x] [x]
4/9 - Age 50+ F [x] [x] [x] [x] [x] [x] [x] [x]
4/9 - Age 0-17 F [x] [x] [x] [x] [x] [x] [x] [x]
4/9 - Age 18-44 F [x] [x] [x] [x] [x] [x] [x] [x]
4/9 - Age 45-64 F [x] [x] [x] [x] [x] [x] [x] [x]
4/9 - Age 65-74 F [x] [x] [x] [x] [x] [x] [x] [x]
4/9- Age 75+ F [x] [x] [x] [x] [x] [x] [x] [x]
4/9- Age 50+ F [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Boro-Wide [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Age 0-17 M [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Age 18-44 M [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Age 45-64 M [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Age 65-74 M [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Age 75+ M [x] [x] [x] [x] [x] [x] [x] [x]
4/8- Age 50+ F [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Age 0-17 F [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Age 18-44 F [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Age 45-64 F [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Age 65-74 F [x] [x] [x] [x] [x] [x] [x] [x]
4/8 - Age 75+ F [x] [x] [x] [x] [x] [x] [x] [x]
4/8- Age 50+ F [x] [x] [x] [x] [x] [x] [x] [x]

Does anyone have something like this?

Thank you again, everyone - be safe, be well and please wash your hands!

1. Patients transferred out of NYC and 2. Hospitalizations in new-to-NYC facilities

Thank you for managing this repository.

  1. How will DOHMH begin to count patients (hospitalizations, deaths) transferred outside the city system to relieve pressure to the system? https://www.syracuse.com/coronavirus/2020/04/new-york-city-hospitals-begin-transferring-patients-to-upstate-ny-report.html ?

  2. Will data start reflecting cases taken up in USS Comfort and Javitz Center and on what date?

  3. Will NYC hospital discharge data start being published ?

tests-by-zcta NA values

why does the current and previous versions of tests-by-zcta.csv have NA values in the first row? Is this an unincorporated area of NY?

NY city zcta shape files

How many Zip code (zcta) areas are in the NY city? Corona virus data are posted for 177 zcta areas here. Does any one have the shape files for these 177 zip codes or knows where to get these? I have two different shape files: one with 200 and the other with 214 zipcode areas but those don't have some of the 177 zcta areas for which we have the corona virus data.

Current Hospitalizations

Is it possible to report the current hospitalizations each day as opposed to the "ever hospitalized?" The current hospitalizations are what all other NY jurisdictions are reporting, apparently from HERD.

by_age double count?

Your binning is off in the by_age table such that I'm not sure whether 75yos are being counted twice, or if there is simply a typo in one of the bin labels:
65-75 years
75 and older years

Added to Open Source COVID-19

Thanks for your work to help the people in need! Your site has been added to the Open-Source-COVID-19 page, which collects open source projects related to COVID-19, including maps, data, news, api, analysis, medical and supply information, etc. Please share to anyone who might need the information in the list, or will possibly contribute to some of those projects. You are also welcome to recommend more projects.

http://open-source-covid-19.weileizeng.com/

Cheers!

Probable Hospitalizations?

The "probable deaths" that you started publishing on the 14th are currently increasing NYC's total death toll by about 50%. Could we also say that there are probable hospitalizations that would similarly increase the total hospitalization count by around 50%? Or are those already factored into the published figure?

zip code data not updated

First off, thank you for providing this data. I started looking at the data just a few days ago, and I noticed that the test-by-zcta.csv file has been the same for the past 3 days (with a total number of cases standing at 94,499 for the city. Is this data being updated?

Revised Historical Data by Zipcode

Hi,

I was wondering if there is a repository with revised daily data for each zip code. Since there is a delay in reporting, the past files have stales numbers.

I am trying to plot the trend of new cases for each individual zip codes.

Thanks

Consider appending rows to datasets instead of overwriting the entire table

It would be useful if each update was just a new row or rows appended to each table so users of the data can track changes over time.

Also, using ISO8601 timestamps for the "as of" value would also be helpful for machines reading the dataset.

I'm curious, is there a data standard you are complying with that wants the data in the shape it's currently published in?

For summary.csv this would look like:

as_of,cases,total_hospitalized,deaths
2019-03-25T17:28,20011,3922,280
2019-03-26T17:30,23112,4712,364
2019-03-27T17:30,26697,5039,450
2019-03-30T17:30,38087,7741,914
2019-03-31T17:30,41771,8549,1096

Recovery Data

First I want to thank you for this great effort of providing this data. It is very helpful and critical.

Them I just curious, are there any data about the recovered cases in NYC? Since the outbreak has been about one month long, are there any recoveries cases?

Thanks.

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