论文标题
中国Vovid-19爆发的时空数据集
Spatial-Temporal Dataset of COVID-19 Outbreak in China
论文作者
论文摘要
我们介绍了2019年冠状病毒疾病（COVID-19）统计数据集：中国在城市/县一级在中国疫情爆发的每日统计数据。对于每个城市/国家，我们包括流行病研究的六个最重要的数字：每日新感染，累积感染，每日新恢复，累积的康复，每日新死亡和累积死亡。我们跨验证数据集，估计错误率约为0.04％。然后，我们举了几个例子，以显示如何在特定城市或省份中追踪传播，并将其与早期，中期和晚期在中国所有城市的Covid-19进行对比。我们希望该数据集可以帮助世界各地的研究人员更好地了解Covid-19在区域层面上的传播动态，以告知决策者的干预和缓解策略。
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.
