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Spatial heterogeneity can lead to substantial local variations in COVID-19 timing and severity
Standard epidemiological models for COVID-19 employ variants of compartment (SIR or susceptible–infectious–recovered) models at local scales, implicitly assuming spatially uniform local mixing. Here, we examine the effect of employing more geographically detailed diffusion models based on known spat...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533653/ https://www.ncbi.nlm.nih.gov/pubmed/32913057 http://dx.doi.org/10.1073/pnas.2011656117 |