Bayesian modelling for COVID-19 seroprevalence studies
Por um escritor misterioso
Last updated 24 março 2025


Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil

Quantifying previous SARS-CoV-2 infection through mixture modelling of antibody levels

Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting - Douwes‐Schultz - 2022 - Canadian Journal of Statistics - Wiley Online Library
Underreporting of SARS-CoV-2 infections during the first wave of the 2020 COVID-19 epidemic in Finland—Bayesian inference based on a series of serological surveys

Seropositivity in blood donors and pregnant women during the first year of SARS‐CoV‐2 transmission in Stockholm, Sweden - Castro Dopico - 2021 - Journal of Internal Medicine - Wiley Online Library

Bayesian modelling for COVID-19 seroprevalence studies

Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infectious contacts - ScienceDirect

The evolution of SARS-CoV-2 seroprevalence in Canada: a time-series study, 2020–2023

Pathogens, Free Full-Text

Seroprevalence of SARS-CoV-2 Antibodies in Children and Adults in St. Louis, Missouri, USA

Accounting for assay performance when estimating the temporal dynamics in SARS-CoV-2 seroprevalence in the U.S.

Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis - The Lancet Global Health

High seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based study

Data-driven modeling of covid-21 - living matter lab
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