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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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Publicat a:Sci Rep
Autors principals: Bhattacharyya, Rupam, Kundu, Ritoban, Bhaduri, Ritwik, Ray, Debashree, Beesley, Lauren J., Salvatore, Maxwell, Mukherjee, Bhramar
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2021
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8105357/
https://ncbi.nlm.nih.gov/pubmed/33963259
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-89127-1
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