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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| 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 |