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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...
Autores principales: | Qiao, Mengling, Huang, Bo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
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 |
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