On the true number of COVID-19 infections: Effect of Sensitivity, Specificity and Number of Tests on Prevalence Ratio Estimation

Eitan Altman (1) , Izza Mounir (2) , Fatim-Zahra Najid (3) , Samir M. Perlaza (1)

1 NEO - Network Engineering and Operations
2 CHU Nice - Centre Hospitalier Universitaire de Nice
3 CHU Amiens-Picardie

Domaines: Santé publique et épidémiologie; Statistiques [stat]

Eitan Altman, Izza Mounir, Fatim-Zahra Najid, Samir M. Perlaza. On the true number of COVID-19 infections: Effect of Sensitivity, Specificity and Number of Tests on Prevalence Ratio Estimation. International Journal of Environmental Research and Public Health, 2020, ⟨10.3390/ijerph17155328⟩. ⟨hal-03128312⟩