Bayesian modelling for COVID-19 seroprevalence studies

Substantial underestimation of SARS-CoV-2 infection in the United States

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

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

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

Variation in the COVID-19 infection–fatality ratio by age, time, and geography during the pre-vaccine era: a systematic analysis - The Lancet

Two Years into the COVID-19 Pandemic: Lessons Learned

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

Evaluation of Sampling, Analysis, and Normalization Methods for SARS-CoV-2 Concentrations in Wastewater to Assess COVID-19 Burdens in Wisconsin Communities

Dark matter', second waves and epidemiological modelling

Bayesian modelling for COVID-19 seroprevalence studies

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

One year of modeling and forecasting COVID-19 transmission to support policymakers in Connecticut

A Continuous Bayesian Model for the Stimulation COVID-19 Epidemic Dynamics

Estimation of HIV prevalence and burden in Nigeria: a Bayesian predictive modelling study - eClinicalMedicine

JCM, Free Full-Text