A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States

To support decision-making and policy for managing epidemics of emerging pathogens, we present a model for inference and scenario analysis of SARS-CoV-2 transmission in the USA. The stochastic SEIR-type model includes compartments for latent, asymptomatic, detected and undetected symptomatic individ...

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Detalles Bibliográficos
Autores principales: Drake, John M., Handel, Andreas, Marty, Éric, O’Dea, Eamon B., O’Sullivan, Tierney, Righi, Giovanni, Tredennick, Andrew T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659176/
https://www.ncbi.nlm.nih.gov/pubmed/37939201
http://dx.doi.org/10.1371/journal.pcbi.1011610

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659176/
https://www.ncbi.nlm.nih.gov/pubmed/37939201
http://dx.doi.org/10.1371/journal.pcbi.1011610

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