An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China

It is important to forecast the risk of COVID-19 symptom onset and thereby evaluate how effectively the city lockdown measure could reduce this risk. This study is a first comprehensive, high-resolution investigation of spatiotemporal heterogeneities on the effect of the Wuhan lockdown on the risk o...

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Detalles Bibliográficos
Autores principales: Shi, Wenzhong, Tong, Chengzhuo, Zhang, Anshu, Wang, Bin, Shi, Zhicheng, Yao, Yepeng, Jia, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835364/
https://www.ncbi.nlm.nih.gov/pubmed/33495509
http://dx.doi.org/10.1038/s42003-021-01677-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835364/
https://www.ncbi.nlm.nih.gov/pubmed/33495509
http://dx.doi.org/10.1038/s42003-021-01677-2

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