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....

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Detalles Bibliográficos
Autores principales: Flückiger, Matthias, Ludwig, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Paper
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

Internet

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

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