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...
Enregistré dans:
Auteurs principaux: | , , , , , , |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/6e66c701cd454551b2ea2f3c69c4e4cd |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|