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Data collection to analyze the dissemination of COVID-19 through Brazilian states. Contributions are welcome.
License: Creative Commons Zero v1.0 Universal
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Olá, juntamente com uma organização sem fins lucrativos, estamos tentando centralizar as informações de infectados / mortos / recuperados covid-19 e estamos procurando uma pessoa encarregada de cada país. No seu caso, Brazil.
O formato csv está sendo tratado de acordo com o formato global https://github.com/CSSEGISandData/COVID-19 para poder coletar os dados.
Isso inclui as seguintes colunas:
Para a Brazil, é necessária atualização diária para esses lugares:
Você poderia me dizer se está interessado em contribuir, por favor.
O conjunto de dados centralizado é proposto neste repositório:
https://github.com/DataScienceResearchPeru/covid-19_latinoamerica
Hi @elhenrico, first of all thanks so much for this -- awesome work! I am now using your CSV files to add region-level data to my Open COVID-19 project.
I am currently pulling the CSV files from the GitHub Raw cache (like this one) and I wanted to understand how stable these files are, whether you are likely to change the name, location, format, etc. In case of any changes, how can I be notified so I can update my scripts appropriately?
Há notícias que a contabilização dos casos pelo ministério pode estar atrasada. 10 casos não contabilizados em PE, SP e BA no dia 12/03
Irei manter a contagem seguindo os números oficiais divulgados pelo Ministério da Saúde. link
Se alguém tiver outras fontes, podemos discutir aqui.
Hi @elhenrico, thanks again for all the great work! Can you please provide an explicit license for the data in this repo? Preferably, something with as few restrictions as possible...
Pretendo fazer uma alteração no campo das datas para incluir o ano.
Como os dados e o monitoramento continuaram em 2021 o ano se mostra necessário na formatação em contraponto ao formato simplificado anterior.
30/1 >> 30/01/2021
Data formatting is being changed as following:
from 03/1 to 30/01/2021
20th August seems to be wrong. The data in a single day are absolutely out of overall trend before and after.
Is it possible to validate the data with the original source? Thank you.
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