Modelling vaccination strategies for COVID-19

Despite the rapid development of safe and highly effective vaccines against coronavirus disease 2019 (COVID-19), the strategy for their distribution has been and remains contentious. Mathematical models can be used to guide and inform these strategies; however, uncertainties in critical immunologica...

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Detalles Bibliográficos
Autores principales: Wagner, Caroline E., Saad-Roy, Chadi M., Grenfell, Bryan T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830981/
https://www.ncbi.nlm.nih.gov/pubmed/35145245
http://dx.doi.org/10.1038/s41577-022-00687-3
Descripción
Sumario:Despite the rapid development of safe and highly effective vaccines against coronavirus disease 2019 (COVID-19), the strategy for their distribution has been and remains contentious. Mathematical models can be used to guide and inform these strategies; however, uncertainties in critical immunological and evolutionary parameters of SARS-CoV-2 can limit the predictive power of models. Notwithstanding these ongoing uncertainties, we discuss how models have been applied to guide health policy decisions related to vaccination against COVID-19, and how they may be applied in the future in the context of booster doses under different scenarios related to disease-specific factors and global distribution.

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