Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates

Susceptible-Exposed-Infected-Removed (SEIR)-type epidemiologic models, modeling unascertained infections latently, can predict unreported cases and deaths assuming perfect testing. We apply a method we developed to account for the high false negative rates of diagnostic RT-PCR tests for detecting an...

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Detalles Bibliográficos
Autores principales: Bhattacharyya, Rupam, Kundu, Ritoban, Bhaduri, Ritwik, Ray, Debashree, Beesley, Lauren J., Salvatore, Maxwell, Mukherjee, Bhramar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105357/
https://www.ncbi.nlm.nih.gov/pubmed/33963259
http://dx.doi.org/10.1038/s41598-021-89127-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105357/
https://www.ncbi.nlm.nih.gov/pubmed/33963259
http://dx.doi.org/10.1038/s41598-021-89127-1

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