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Spatial networks and the spread of COVID-19: results and policy implications from Germany
Spatial networks are known to be informative about the spatiotemporal transmission dynamics of COVID-19. Using district-level panel data from Germany that cover the first 22 weeks of 2020, we show that mobility, commuter and social networks all predict the spatiotemporal propagation of the epidemic....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10183698/ https://www.ncbi.nlm.nih.gov/pubmed/37520679 http://dx.doi.org/10.1007/s10037-023-00185-6 |