COVID-19 distributes socially in China: A Bayesian spatial analysis

PURPOSE: The ongoing coronavirus disease 2019 (COVID-19) epidemic increasingly threatens the public health security worldwide. We aimed to identify high-risk areas of COVID-19 and understand how socioeconomic factors are associated with the spatial distribution of COVID-19 in China, which may help o...

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Detalles Bibliográficos
Autores principales: Peng, Di, Qian, Jian, Wei, Luyi, Luo, Caiying, Zhang, Tao, Zhou, Lijun, Liu, Yuanyuan, Ma, Yue, Yin, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020730/
https://www.ncbi.nlm.nih.gov/pubmed/35443008
http://dx.doi.org/10.1371/journal.pone.0267001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020730/
https://www.ncbi.nlm.nih.gov/pubmed/35443008
http://dx.doi.org/10.1371/journal.pone.0267001

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