Population flow drives spatio-temporal distribution of COVID-19 in China

By Jayson S. Jia, Xin Lu, Yun-fei Yuan, Ge Xu, Jianmin Jia, Nicholas A. Christakis. Nature, 2020

802 citations recorded by the source corpus.

Subfields: Epidemiology, Modeling and Simulation, Transportation

View Paper: https://www.semanticscholar.org/paper/8fcbc24d4003c986fe40e68420302c5c8c179e02

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1. Yang Yang
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3. Long Wang
4. Timothy N. Cason
5. Michael P. Keane

Citations in the corpus

• Human mobility restrictions and the spread of the Novel Coronavirus (2019-nCoV) in China (2020, positive): “Our results are also in line with the results of the latest modeling exercises (Chinazzi et al., 2020; Qiu et al., 2020; Chinazzi et al., 2020; Li et al., 2020; Tian et al., 2020; Jia et al., 2020), which mostly rely on calibrations of various virus-related parameters such as incubation period and d”