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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/4327| Coronavirus disease 2019 (COVID-19) outbreak in China, spatial temporal dataset | |
| Wenyuan Liu. Peter Tsung-Wen Yen. Siew Ann Cheong. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://arxiv.org/pdf/2003.11716v1.pdf | |
| We present Coronavirus disease 2019 (COVID-19) statistics in China dataset: daily statistics of the COVID-19 outbreak in China at the city/county level. For each city/country, we include the six most important numbers for epidemic research: daily new infections, accumulated infections, daily new recoveries, accumulated recoveries, daily new deaths, and accumulated deaths. We hope this dataset can help researchers around the world better understand the spread dynamics of COVID-19 at a regional level, to inform intervention and mitigation strategies for policymakers. | |
| arxiv.org | |
| 2020 | |
| Artículo | |
| https://arxiv.org/pdf/2003.11716v1.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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