Bulletin of Chinese Academy of Sciences (Chinese Version)
Backtracking Transmission of COVID-19 in China Based on Big Data Source, and Effect of Strict Pandemic Control Policy
COVID-19; big data; Wuhan; Beijing
In December 2019, COVID-19 appeared and started transmission in local population in Wuhan, Hubei Province. We analyzed the spread process of COVID-19 and found that imported number of passengers from Wuhan before the city closure is the main threat to other cities in China, whereas later on local transmission in those cities gradually become the main force of virus transmission. Based on SEIR model, we found that the basic reproductive number R 0 for Wuhan is much higher than that of Beijing. When pandemic control measures (traffic control, holiday extension, 14-day-long quarantine, etc.) are taken into account, the R 0 dropped substantially. China's progressive pandemic control policy ensures the situation under control, and the timely situation reporting and data sharing greatly contribute to the whole world fighting against this novel coronavirus.
Bulletin of Chinese Academy of Sciences
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Xumao, ZHAO; Xinhai, LI; and Changhong, NIE
"Backtracking Transmission of COVID-19 in China Based on Big Data Source, and Effect of Strict Pandemic Control Policy,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 35
, Article 3.
Available at: https://bulletinofcas.researchcommons.org/journal/vol35/iss3/3