COVID-19 reproduction number data calculated from the datasets of COVID-19 infection in a few countries

Raw data have been collected for the USA, Denmark, China, Italy , Germany, France, Singapore (from 22 January, 2020 to 26 April, 2020) and India (upto 2 May, 2020) and produced in log-log scale for power law fitting. The fitted data for different power law exponents are also submitted here. The new number of observed cases per day in these countries has been extracted from the raw data for application of Farr's law. The fitted Gaussian curve is also submitted here. The temporal dynamics of the reproduction number R0 is calculated from these data using Farr's law and IDEA model and compared for three different countries-the USA, Italy and India. The details can be seen in https://www.medrxiv.org/content/10.1101/2020.05.04.20090233v1. The detailed paper will be submitted in peer reviewed journal Epidemics . The raw data have been collected from https://github.com/CSSEGISandData/COVID-19, https://coronavirus.jhu.edu/map.html and https://www.mohfw.gov.in/.本数据集采集了美国、丹麦、中国、意大利、德国、法国、新加坡（2020年1月22日至2020年4月26日）及印度（截至2020年5月2日）的原始数据，并以双对数尺度（log-log scale）形式整理，用于幂律拟合。本次提交同时包含针对不同幂律指数的拟合数据。已从上述原始数据中提取各国每日新增确诊病例数，用于法尔定律（Farr's law）的应用分析。本次提交还附上了拟合得到的高斯曲线。基于上述数据，通过法尔定律与IDEA模型（IDEA model）计算得到了基本再生数R0（R0）的时间动态变化特征，并选取美国、意大利与印度三个国家开展对比分析。相关详细信息可参阅链接：https://www.medrxiv.org/content/10.1101/2020.05.04.20090233v1。本研究的完整论文将提交至同行评审期刊《Epidemics》。本数据集的原始数据采集自以下平台：https://github.com/CSSEGISandData/COVID-19、https://coronavirus.jhu.edu/map.html以及https://www.mohfw.gov.in/。