Closed eguidotti closed 1 year ago
Thank you for your kind notive. Vaccinated_1st and Vaccinated_2nd were NON-cumulative values. Vaccinated_3rd counts were cumulative values. With #1381, I converted Vaccinated_1st and Vaccinated_2nd to cumulative values. (The last date is 04Feb2023. I will update the dataset in a day.)
Data updated. The number of cases: to 05Mar2023, Vaccinated: to 02Mar2023 per primary sources.
Additional infomation: The primaly source has the number of cases with 4th/5th vaccine shots in Japan. Our dataset will provide the data with #1382.
Mmm it seems something strange is going on. I tried to plot the data (picture below) and Vaccinated 1 and 2 look weird. In particular, vaccinated 1 is decreasing while it should be cumulative now from my understanding
Thanks a lot for your efforts!
With #1386, I revised the process of vaccination data integration fully,
Awesome!
I just noticed that on 2022-01-24
the entry for Hosp_require
seems to be a manual entry mistake. The value is 3222100
while I think it should be 322210
.
Except from that, I think this issue can be closed. I also checked the data at the prefecture level and they seem ok.
Thanks a lot for your help!
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Summary
Hi @lisphilar, I'm integrating your data in COVID-19 Data Hub and I've found an issue with the vaccination data.
Below I plot the
Vaccinated_1st
forLocation=Domestic
from your file: https://github.com/lisphilar/covid19-sir/blob/main/data/japan/covid_jpn_total.csvIt seems that the data are a mix of cumulative/non-cumulative counts (?) For instance, on
2022-10-10
the number of people with 1 dose is 9744650, but on2022-10-11
it is 857. And then on2022-10-16
it is again 9745232.How should I proceed? Thanks a lot!
Reproducible example script
The current outputs
Expected outputs
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Additional Context
This is an issue about the data, not the code