COVID-19 spread prediction using socio-demographic and mobility-related data

Studying the impacts of factors that may vary spatially and temporally as infectious disease progresses is critical for the prediction and intervention of COVID-19. This study aimed to quantitatively assess the spatiotemporal impacts of socio-demographic and mobility-related factors to predict the s...

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Detalles Bibliográficos
Autores principales: Qiao, Mengling, Huang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156989/
https://www.ncbi.nlm.nih.gov/pubmed/37159808
http://dx.doi.org/10.1016/j.cities.2023.104360

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156989/
https://www.ncbi.nlm.nih.gov/pubmed/37159808
http://dx.doi.org/10.1016/j.cities.2023.104360

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