Comments (2)
tiffehr
commented on June 2, 2024
@Jonathan-Nyquist Thanks for the clear example here. What you're seeing is probably the result of a downward-revised count of deaths from one or more of our sources, which often happens when local health departments or other officials realized they had duplication or other death-certification challenges. Our README that lives alongside our rolling-average files has a deeper explanation of our methodology and how we judge anomolous entries in our data set and its calculated figures.
Identified anomalies are often because of officials making revisions to improve the overall quality of the data they have released. Many small anomalies due to backlogs of cases or minor revisions of previously announced numbers are not included here, particularly at the county level. There are no listed anomalies from very early in the pandemic. When deciding whether to list an anomaly, we judge whether a member of the public would need that note to understand and put in context that day’s case or death count.
You can search our list of anomalies here in GitHub for the dates in your example, using its filter mechanism.
from covid-19-data.
Jonathan-Nyquist
commented on June 2, 2024
Thanks, glad to hear the negative deaths don't herald the coming of the Covid 19 zombie apocalypse.
…________________________________
From: Tiff Fehr ***@***.***>
Sent: Friday, January 27, 2023 1:37 PM
To: nytimes/covid-19-data ***@***.***>
Cc: Jonathan Nyquist ***@***.***>; Mention ***@***.***>
Subject: [External] Re: [nytimes/covid-19-data] Data Issue: Dates with negative case numbers and deaths. (Issue #700)
@Jonathan-Nyquist<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FJonathan-Nyquist&data=05%7C01%7Cjonathan.nyquist%40temple.edu%7C1f8700b5a196470dc99a08db009591a4%7C716e81efb52244738e3110bd02ccf6e5%7C0%7C0%7C638104414646730121%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Ff1yWGjGhpIHSRtj4XaBzgCmfGEQDi41z4zMEmCPKzg%3D&reserved=0> Thanks for the clear example here. What you're seeing is probably the result of a downward-revised count of deaths from one or more of our sources, which often happens when local health departments or other officials realized they had duplication or other death-certification challenges. Our README that lives alongside our rolling-average files<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnytimes%2Fcovid-19-data%2Ftree%2Fmaster%2Frolling-averages%23cases-and-deaths-rolling-averages-and-anomalous-days&data=05%7C01%7Cjonathan.nyquist%40temple.edu%7C1f8700b5a196470dc99a08db009591a4%7C716e81efb52244738e3110bd02ccf6e5%7C0%7C0%7C638104414646730121%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2B7%2BDk9%2BE8emZA0Nm%2F3WX87QVeF2%2BLVa2G9A7tElGFQU%3D&reserved=0> has a deeper explanation of our methodology and how we judge anomolous entries<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnytimes%2Fcovid-19-data%2Ftree%2Fmaster%2Frolling-averages%23anomalies-methodology&data=05%7C01%7Cjonathan.nyquist%40temple.edu%7C1f8700b5a196470dc99a08db009591a4%7C716e81efb52244738e3110bd02ccf6e5%7C0%7C0%7C638104414646730121%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Jibvdk%2FmBzQ1mZa4MsNiSSO1eYlDcbddKEoeTa%2Ft%2Fk4%3D&reserved=0> in our data set and its calculated figures.
Identified anomalies are often because of officials making revisions to improve the overall quality of the data they have released. Many small anomalies due to backlogs of cases or minor revisions of previously announced numbers are not included here, particularly at the county level. There are no listed anomalies from very early in the pandemic. When deciding whether to list an anomaly, we judge whether a member of the public would need that note to understand and put in context that day’s case or death count.
You can search our list of anomalies<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnytimes%2Fcovid-19-data%2Fblob%2Fmaster%2Frolling-averages%2Fanomalies.csv&data=05%7C01%7Cjonathan.nyquist%40temple.edu%7C1f8700b5a196470dc99a08db009591a4%7C716e81efb52244738e3110bd02ccf6e5%7C0%7C0%7C638104414646730121%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=clDx02xPWjODDLxQD4NIjHKuf0vRYrRFatjknMh6XxU%3D&reserved=0> here in GitHub for the dates in your example, using its filter mechanism.
[image]<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fuser-images.githubusercontent.com%2F60173%2F215167602-12d50522-0d71-438e-9435-fed3e0f42009.png&data=05%7C01%7Cjonathan.nyquist%40temple.edu%7C1f8700b5a196470dc99a08db009591a4%7C716e81efb52244738e3110bd02ccf6e5%7C0%7C0%7C638104414646730121%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=JBsy%2FTHitmW1Ud4SVlnUCQago9y6w6RyYXEwtRxcJR0%3D&reserved=0>
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from covid-19-data.
Related Issues (20)
- No update for June 16th? HOT 3
- Data Issue: Huge difference between NYT & CDC daily new cases for US HOT 1
- Counties data gap HOT 1
- What time window for rolling averages? HOT 1
- Data Issue: Connecticut completely revised their reporting and formats. No new data today. HOT 1
- Data Issue: Negative deaths = resurrections? HOT 1
- Question: 0 Cases for weekends HOT 1
- Data Issue: Missing data from St. Louis County, MO since August 5th 2022. HOT 2
- Data Issue: Rounding Latest Trends (Alaska)
- No data for 9/27/2022 at 7 am EDT? HOT 5
- Data Issue: San Francisco spike likely a data anomaly HOT 2
- Data Issue: Missing Cases Data in Jefferson County, KY (FIPS: 21111) HOT 5
- Several states and counties appear to show a spike in the death count during the week from 11/6 to 11/12. Is that an artifact in my calculations or is something else going on? HOT 5
- FYI: Texas will now be reporting case data weekly and no longer report vaccination data, I don't know what the counties re doing HOT 1
- Question:
- Data Issue: Snafu with us-counties data? HOT 2
- Data Issue: Missing Cases Data in Jefferson County, KY (FIPS: 21111) HOT 4
- Announcement: This dataset is being archived on March 23 HOT 6
- Data Issue: "Your connection is not private" message HOT 2
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