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Measurement of contagion spatial spread probability in public places: A case study on COVID-19

The scale and scope of the COVID-19 epidemic have highlighted the need for timely control of viral transmission. This paper proposed a new spatial probability model of epidemic infection using an improved Wasserstein distance algorithm and Monte Carlo simulation. This method identifies the public pl...

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Detalles Bibliográficos
Autores principales: Chen, Lu, Liu, Xiuyan, Hu, Tao, Bao, Shuming, Ye, Xinyue, Ma, Ning, Zhou, Xiaoxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986488/
https://www.ncbi.nlm.nih.gov/pubmed/35418716
http://dx.doi.org/10.1016/j.apgeog.2022.102700