Cargando…
Optimizing Spatial Allocation of COVID‐19 Vaccine by Agent‐Based Spatiotemporal Simulations
Optimizing allocation of vaccine, a highly scarce resource, is an urgent and critical issue during fighting against on‐going COVID‐19 epidemic. Prior studies suggested that vaccine should be prioritized by age and risk groups, but few of them have considered the spatial prioritization strategy. This...
Autores principales: | Zhou, Shuli, Zhou, Suhong, Zheng, Zhong, Lu, Junwen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207830/ https://www.ncbi.nlm.nih.gov/pubmed/34179672 http://dx.doi.org/10.1029/2021GH000427 |
Ejemplares similares
-
Risk assessment for precise intervention of COVID-19 epidemic based on available big data and spatio-temporal simulation method: Empirical evidence from different public places in Guangzhou, China
por: Zhou, Shuli, et al.
Publicado: (2022) -
Spatial Optimization to Improve COVID-19 Vaccine Allocation
por: Scroggins, Stephen, et al.
Publicado: (2022) -
The optimal allocation of Covid-19 vaccines
por: Babus, Ana, et al.
Publicado: (2023) -
Optimal control of the spatial allocation of COVID-19 vaccines: Italy as a case study
por: Lemaitre, Joseph Chadi, et al.
Publicado: (2022) -
Optimizing global COVID-19 vaccine allocation: An agent-based computational model of 148 countries
por: Li, Qingfeng, et al.
Publicado: (2022)