Impact of spatiotemporal heterogeneity in COVID-19 disease surveillance on epidemiological parameters and case growth rates

SARS-CoV-2 case data are primary sources for estimating epidemiological parameters and for modelling the dynamics of outbreaks. Understanding biases within case-based data sources used in epidemiological analyses is important as they can detract from the value of these rich datasets. This raises que...

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Detalles Bibliográficos
Autores principales: Inward, Rhys P.D., Jackson, Felix, Dasgupta, Abhishek, Lee, Graham, Battle, Anya Lindström, Parag, Kris V., Kraemer, Moritz U.G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9443927/
https://www.ncbi.nlm.nih.gov/pubmed/36099708
http://dx.doi.org/10.1016/j.epidem.2022.100627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9443927/
https://www.ncbi.nlm.nih.gov/pubmed/36099708
http://dx.doi.org/10.1016/j.epidem.2022.100627

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