2020/03/26 by Wenyuan Liu, Liu, Wenyuan, Peter Tsung-Wen Yen +3
Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #COVID-19 epidemiological studies #Data-Driven Disease Surveillance #FOS: Biological sciences #Populations and Evolution (q-bio.PE) #Zoonotic diseases and public health #q-bio.PE
paper · pdf · doi:10.48550/arxiv.2003.11716
11 pages, 7 figures
openalex publication_date 2020/03/26 · arxiv created 2020/04/07 · arxiv updated 2020/04/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 cross validate the dataset and the estimate error rate is about 0.04%. We then give several examples to show how to trace the spreading in particular cities or provinces, and also contrast the development of COVID-19 in all cities in China at the early, middle and late stages. We hope this dataset can help researchers around the world better understand the spreading dynamics of COVID-19 at a regional level, to inform intervention and mitigation strategies for policymakers.