Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysis

BACKGROUND: COVID-19 brought enormous challenges to public health surveillance and underscored the importance of developing and maintaining robust systems for accurate surveillance. As public health data collection efforts expand, there is a critical need for infectious disease modeling researchers...

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Detalles Bibliográficos
Autores principales: Kim, Joanne, Lawson, Andrew B., Neelon, Brian, Korte, Jeffrey E., Eberth, Jan M., Chowell, Gerardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363300/
https://www.ncbi.nlm.nih.gov/pubmed/37481553
http://dx.doi.org/10.1186/s12874-023-01987-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363300/
https://www.ncbi.nlm.nih.gov/pubmed/37481553
http://dx.doi.org/10.1186/s12874-023-01987-5

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