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CSSEGISandData
COVID-19
Science & Engineering2020–2022
CSSEGISandData / COVID-19 · Archived

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Science & Engineering
Explore on GitHubRead Hacker News discussions
46Distinct people
51Mentions
0Explicit recommenders
28.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month51 dated mentions

Observed mentions: 2020-02-24 20:28:59 UTC to 2022-03-13 10:34:11 UTC.

01020302020-02-01 00:00:00 UTC to 2020-03-01 00:00:00 UTC (exclusive): 4 mentions; 2 submissions, 2 commentsFeb 20202020-03-01 00:00:00 UTC to 2020-04-01 00:00:00 UTC (exclusive): 34 mentions; 7 submissions, 27 comments2020-04-01 00:00:00 UTC to 2020-05-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2020-05-01 00:00:00 UTC to 2020-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-06-01 00:00:00 UTC to 2020-07-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2020-07-01 00:00:00 UTC to 2020-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020-08-01 00:00:00 UTC to 2020-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-09-01 00:00:00 UTC to 2020-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-10-01 00:00:00 UTC to 2020-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-11-01 00:00:00 UTC to 2020-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-12-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2021-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-02-01 00:00:00 UTC to 2021-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsFeb 20212021-03-01 00:00:00 UTC to 2021-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-04-01 00:00:00 UTC to 2021-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-05-01 00:00:00 UTC to 2021-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-06-01 00:00:00 UTC to 2021-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-07-01 00:00:00 UTC to 2021-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-01 00:00:00 UTC to 2021-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-09-01 00:00:00 UTC to 2021-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-10-01 00:00:00 UTC to 2021-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-11-01 00:00:00 UTC to 2021-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-12-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-01-01 00:00:00 UTC to 2022-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-02-01 00:00:00 UTC to 2022-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-03-01 00:00:00 UTC to 2022-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 2022

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Feb 20202020-02-01 00:00:00 UTC2020-03-01 00:00:00 UTC422
Mar 20202020-03-01 00:00:00 UTC2020-04-01 00:00:00 UTC34727
Apr 20202020-04-01 00:00:00 UTC2020-05-01 00:00:00 UTC514
May 20202020-05-01 00:00:00 UTC2020-06-01 00:00:00 UTC000
Jun 20202020-06-01 00:00:00 UTC2020-07-01 00:00:00 UTC303
Jul 20202020-07-01 00:00:00 UTC2020-08-01 00:00:00 UTC101
Aug 20202020-08-01 00:00:00 UTC2020-09-01 00:00:00 UTC000
Sep 20202020-09-01 00:00:00 UTC2020-10-01 00:00:00 UTC000
Oct 20202020-10-01 00:00:00 UTC2020-11-01 00:00:00 UTC000
Nov 20202020-11-01 00:00:00 UTC2020-12-01 00:00:00 UTC000
Dec 20202020-12-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
Jan 20212021-01-01 00:00:00 UTC2021-02-01 00:00:00 UTC000
Feb 20212021-02-01 00:00:00 UTC2021-03-01 00:00:00 UTC000
Mar 20212021-03-01 00:00:00 UTC2021-04-01 00:00:00 UTC000
Apr 20212021-04-01 00:00:00 UTC2021-05-01 00:00:00 UTC101
May 20212021-05-01 00:00:00 UTC2021-06-01 00:00:00 UTC000
Jun 20212021-06-01 00:00:00 UTC2021-07-01 00:00:00 UTC000
Jul 20212021-07-01 00:00:00 UTC2021-08-01 00:00:00 UTC000
Aug 20212021-08-01 00:00:00 UTC2021-09-01 00:00:00 UTC000
Sep 20212021-09-01 00:00:00 UTC2021-10-01 00:00:00 UTC000
Oct 20212021-10-01 00:00:00 UTC2021-11-01 00:00:00 UTC000
Nov 20212021-11-01 00:00:00 UTC2021-12-01 00:00:00 UTC101
Dec 20212021-12-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
Jan 20222022-01-01 00:00:00 UTC2022-02-01 00:00:00 UTC000
Feb 20222022-02-01 00:00:00 UTC2022-03-01 00:00:00 UTC000
Mar 20222022-03-01 00:00:00 UTC2022-04-01 00:00:00 UTC101

From the project README

An excerpt from the repository, fetched Nov 13, 2026.

Read the project’s introduction
COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources: Global: World Health Organization (WHO) U.S.: U.S. Centers for Disease Control and Prevention (CDC) For more information, visit the Johns Hopkins Coronavirus Resource Center. This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL). Visual Dashboard (desktop): https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 Visual Dashboard (mobile): http://www.arcgis.com/apps/opsdashboard/index.html#/85320e2ea5424dfaaa75ae62e5c06e61 Please cite our Lancet Article for any use of this data in a publication: An interactive web-based dashboard to track COVID-19 in real time The Johns Hopkins University Center for Systems Science and Engineering COVID-19 Dashboard: data collection process, challenges faced, and lessons learned Provided by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE): https://systems.jhu.edu/ DONATE to the CSSE dashboard team: https://engineering.jhu.edu/covid-19/support-the-csse-covid-19-dashboard-team/ DATA SOURCES: This list includes a complete list of all sources ever used in the data set, since January 21, 2020. Some sources listed here (e.g. ECDC, US CDC, BNO News) are not currently relied upon as a source of data. Aggregated data sources: World Health Organization (WHO): https://www.who.int/ European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases DXY.cn. Pneumonia. 2020. https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share= QQ News https://news.qq.com/zt2020/page/feiyan.htm#/ US CDC: https://www.cdc.gov/coronavirus/2019-ncov/index.html BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/ WorldoMeters: https://www.worldometers.info/coronavirus/ 1Point3Arces: https://coronavirus.1point3acres.com/en COVID Tracking Project: https://covidtracking.com/data. (US Testing and Hospitalization Data. We use the maximum reported value from "Currently" and "Cumulative" Hospitalized for our hospitalization number reported for each state.) Los Angeles Times: https://www.latimes.com/projects/california-coronavirus-cases-tracking-outbreak/ The Mercury News: https://www.mercurynews.com/tag/coronavirus/ US data sources at the state (Admin1) or county/city (Admin2) level: Alabama: Department of Public Health Alaska: Department of Health and Social Services Arizona: Department of Health Services Arkansas: Department of Health California: Department of Public Health Mariposa County Alameda County Fresno County Humboldt County Imperial County Los Angeles County Madera County Marin County Mendocino County Orange County Placer County Riverside County Sacramento County San Benito County San Bernardino County San Diego County San Francisco San Joaquin County San Mateo County Santa Clara County Santa Cruz County Shasta County Solano County Sonoma County Stanislaus County Ventura County Yolo County Colorado: Department of Public Health and Environment Colorado Department of Public Health and Environment Open Data Portal Connecticut: Department of Public Health Delaware: Emergency Management Agency District of Columbia: Government of The District of Columbia Florida: Department of Health & U.S. Department of Health & Human Services Georgia: Department of Public Health Guam: Department of Public Health and Social Services Hawaii: Department of Health Idaho: State Government Illinois: Department of Public Health Indiana: Department of Health Iowa: State Government Kansas: Department Of Health And Environment Douglas County Finney County Riley County Reno County Kentucky: Department of Public Health Louisiana: Department of Health Maine: Department of Health and Human Services Maryland: Department of Health State GitHub Massachusetts: Department of Public Health Michigan: Michigan.gov Minnesota: Department of Health Mississippi: Department of Health Missouri: Department of Health Nodaway County St. Louis City St. Louis County Montana: Department of Public Health and Human Services Nebraska Nebraska Department of Health and Human Services Centers for Disease Control and Prevention Nevada: Department of Health and Human Services Reno County Health Department New Hampshire: Department of Health and Human Services Department of Health and Human Services Press Releases New Jersey: Department of Health New Mexico: Department of Health New York: State Department of Health New York City Health Department NYC Department of Health and Mental Hygiene & Github Repo North Carolina: Department of Health and Human North Dakota: Department of Health Northern Mariana Islands: Northern Mariana Islands Commonwealth Dept of Public Health Ohio: Department of Health Oklahoma: Department of Health Oregon: Health Authority Pennsylvania: Department of Health Philadelphia Lancaster County Chester County Puerto Rico: Departamento de Salud Rhode Island: Department of Health South Carolina: Department of Health and Environmental Control South Dakota: Department of Health Tennessee: Department of Health Texas: Department of State Health Services Amarillo County Brazoria County Brazos County Cameron County Collin County Corpus Christi Denton County Note: The dashboard includes cases identified via at-home antigen tests in the case total. We exlcude these cases from our reported total. Ector County City of El Paso Fayette County Fort Bend County Galveston County Health District Harris County Hay
Read the full README on GitHub

What Hacker News says

51 sources
jrapdx3·Mar 13, 2022
This is very interesting. According to stats provided here [0], 77.5% of New Zealand's population are "fully vaccinated" against COVID. I think differences probably due to selected reference population, your figure is percent of eligible (>=12yo) whereas the number I found is per whole population (including those < 12yo). In any case 77.5% is pretty impressive, by comparison the US fully vax percent is lower at 65.2%/total population. Also NZ confirmed cases == 7.0% of population, US == 24.2%. Big difference there. Not sure what set of factors accounts for diff in cases rate. NZ may well have done more to keep the virus from spreading. On the whole though many more questions about COVID than answers. I'd also guess data collection and reporting practices vary a lot by region or country. Makes data hard to compare and in turn makes it hard
Read the rest
to assess what works and what doesn't. I'm keeping a good thought better solutions will emerge. [0] https://github.com/CSSEGISandData/COVID-19
In Tell HN: China Is Entering Lockdown
amelius·Apr 14, 2021
The number of traffic-related fatalities in Denmark is around 200 per year, see e.g. [1]. Blood clots appear in 4 per 1M people (UK numbers, [3]) or 10 per 1M (Denmark numbers, [2]). That would mean about 24 to 58 Danish people would get blood clots from their first shot. Denmark had 2447 covid deaths, [4]. If you zoom in on certain age-groups, then perhaps Denmark's decision could still make sense, though. [1] https://www.statista.com/statistics/573861/number-of-traffic... [2] https://www.thelocal.com/20210318/ten-blood-clot-cases-found... [3] https://cosmosmagazine.com/health/medicine/covid-19-vaccinat... [4] https://github.com/CSSEGISandData/COVID-19
In Denmark to permanently cease using AstraZeneca vaccine
asn0·Jul 15, 2020
How does this affect the data behind the COVID-tracking sites like John Hopkins CSSE [1] or COVID Tracking [2]. Seems like there's a lot of cross-sharing (and web-scraping) of data between these sites (per [3] CDC gets some of their data from [4]), so not immediately obvious which data is ultimately sourced from CDC vs other primary sources (such as state and local govt Web sites in [5]). [1] https://coronavirus.jhu.edu/map.html and https://github.com/CSSEGISandData/COVID-19 [2] https://covidtracking.com [3] https://towardsdatascience.com/a-short-review-of-covid-19-da... [4] https://coronavirus.1point3acres.com/en [5] https://covidtracking.com/about-data/sources
In White House tells hospitals to bypass CDC on Covid-19 data reporting
cprk83·Jun 19, 2020
Hi all, we thought it might be interesting to point our spreadsheet integration tool at some of the COVID-19 data repos on GitHub. So, basically you get all the data from these repos with a single function in Excel/Google Sheets. For example: =FLEX("covid-19-cases-jhu", "country_region, province_state, date, confirmed, active", "+Illinois", "limit=500") Here’s a short overview video that shows it in action: https://www.youtube.com/watch?v=MxeP0wFqcqc We have integrations for the GitHub repos for Johns Hopkins [1], New York Times [2] and Our World in Data [3]. Everything is (nearly) instantly filterable using Lucene Query Syntax [4]. We'd love to get your feedback; let us know if you have any questions. Thnx! [1] https://github.com/CSSEGISandData/COVID-19 [2] https://github.com/nytimes/covid-19-data [3] https://github.com/owid/covid-1
Read the rest
9-data [4] https://lucene.apache.org/core/2_9_4/queryparsersyntax.html
In Show HN: Instantly search and filter Covid-19 data in Excel and Google Sheets
cprk83·Jun 18, 2020
Hi all, we thought it might be interesting to point our spreadsheet integration tool at some of the COVID-19 data repos on GitHub. So, basically you get all the data from these repos with a single function in Excel/Google Sheets. For example: =FLEX("covid-19-cases-jhu", "country_region, province_state, date, confirmed, active", "+Illinois", "limit=500") Here’s a short overview video that shows it in action: https://www.youtube.com/watch?v=MxeP0wFqcqc We have integrations for the GitHub repos for Johns Hopkins [1], New York Times [2] and Our World in Data [3]. Everything is (nearly) instantly filterable using Lucene Query Syntax [4]. We'd love to get your feedback; let us know if you have any questions. Thnx! [1] https://github.com/CSSEGISandData/COVID-19 [2] https://github.com/nytimes/covid-19-data [3] https://github.com/owid/covid-1
Read the rest
9-data [4] https://lucene.apache.org/core/2_9_4/queryparsersyntax.html
In Show HN: Instantly search and filter Covid-19 data in Excel and Google Sheets
simonw·Apr 5, 2020
I'm going to take this opportunity to promote my current principal project, Datasette. https://datasette.readthedocs.io/en/stable/ Datasette aims to reduce the gap between "I have some data" and "I have a useful JSON API for it" as much as possible. I think it does this really well. A timely example: the first version of this API for interacting with data about the COVID-19 pandemic took me just a few minutes to build AND deploy: https://covid-19.datasettes.com/ - it uses data pulled hourly from https://github.com/CSSEGISandData/COVID-19 and https://github.com/nytimes/covid-19-data Here's JSON for the number of reported cases and deaths in California (served with a CORS header so you can call it from other pages): https://covid-19.datasettes.com/covid/ny_times_us_states.jso... And here's data showing the number of NEW cases per day report
Read the rest
ed in Italy, using a SQL window function. First as a graph visualization: https://covid-19.datasettes.com/covid?sql=with+italy+as+%28%... And here's that raw data as JSON: https://covid-19.datasettes.com/covid.json?sql=with+italy+as... And as CSV: https://covid-19.datasettes.com/covid.csv?sql=with+italy+as+...
In Ask HN: What are your favorite low-coding apps / tools as a developer?
dpwm·Mar 29, 2020
I've seen very little coverage that really uses the term exponential in a way that suggests those reporting know the implications of that. I've seen one plot with a logarithmic y-axis, and that was in the Guardian some time ago. From it, it appeared a crude heuristic could be drawn that from the point that lockdown is implemented, the cumulative deaths appear to grow between two and three orders of magnitude. I've been grabbing the data put out by Johns Hopkins [0] for the last few days to update some plots in a very hacky Jupyter notebook. Crucially, the plots are normalized to (estimated) populations and the y-scale is logarithmic. I've put them on github in case anyone else is interested [1]. [0] https://github.com/CSSEGISandData/COVID-19 [1] https://github.com/dpwm/covid19-analysis/blob/master/Coronav... edit: Clarified that though ex
Read the rest
ponential growth is widely used, the implications of that are not followed up. It's past my bedtime!
In An international comparison of the second derivative of Covid-19 deaths [pdf]

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