Cargando…
A novel geo-hierarchical population mobility model for spatial spreading of resurgent epidemics
Computational models for large, resurgent epidemics are recognized as a crucial tool for predicting the spread of infectious diseases. It is widely agreed, that such models can be augmented with realistic multiscale population models and by incorporating human mobility patterns. Nevertheless, a larg...
Autores principales: | Topîrceanu, Alexandru, Precup, Radu-Emil |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275763/ https://www.ncbi.nlm.nih.gov/pubmed/34253835 http://dx.doi.org/10.1038/s41598-021-93810-8 |
Ejemplares similares
-
Immunization using a heterogeneous geo-spatial population model: A qualitative perspective on COVID-19 vaccination strategies
por: Topîrceanu, Alexandru
Publicado: (2021) -
Epidemic spreading on hierarchical geographical networks with mobile agents
por: Han, Xiao-Pu, et al.
Publicado: (2014) -
Effect of Human Mobility on the Spatial Spread of Airborne Diseases: An Epidemic Model with Indirect Transmission
por: David, Jummy F., et al.
Publicado: (2022) -
Modelling the skip-and-resurgence of Japanese encephalitis epidemics in Hong Kong
por: Zhao, Shi, et al.
Publicado: (2018) -
Epidemic modeling for the resurgence of COVID-19 in Chinese local communities
por: Peng, Min, et al.
Publicado: (2022)