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

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

Abstract 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 det...

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Bibliographic Details
Main Authors: Rupam Bhattacharyya, Ritoban Kundu, Ritwik Bhaduri, Debashree Ray, Lauren J. Beesley, Maxwell Salvatore, Bhramar Mukherjee
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-89127-1

Internet

https://doi.org/10.1038/s41598-021-89127-1

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