Cargando…
Estimation of Covid-19 prevalence from serology tests: A partial identification approach
We propose a partial identification method for estimating disease prevalence from serology studies. Our data are results from antibody tests in some population sample, where the test parameters, such as the true/false positive rates, are unknown. Our method scans the entire parameter space, and reje...
Autor principal: | Toulis, Panos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574757/ https://www.ncbi.nlm.nih.gov/pubmed/33100477 http://dx.doi.org/10.1016/j.jeconom.2020.10.005 |
Ejemplares similares
-
Estimating the prevalence of schistosomiasis japonica in China: a serological approach
por: Wang, Xin-Yao, et al.
Publicado: (2018) -
Possibility of underestimation of COVID-19 prevalence by PCR and serological tests
por: Ota, Shinichiro, et al.
Publicado: (2022) -
Update on serologic testing in COVID–19
por: Krajewski, Rafał, et al.
Publicado: (2020) -
Accuracy of Herdsmen Reporting versus Serologic Testing for Estimating Foot-and-Mouth Disease Prevalence
por: Morgan, Kenton L., et al.
Publicado: (2014) -
Estimating force of infection from serologic surveys with imperfect tests
por: Alexander, Neal, et al.
Publicado: (2021)