Bayesian modelling for COVID-19 seroprevalence studies

Age groups that sustain resurging COVID-19 epidemics in the United States

Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys

Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK

Bayesian nonparametric inference for heterogeneously mixing infectious disease models

Bayesian network-based spatial predictive modelling reveals COVID-19 transmission dynamics in Eswatini

Update on SARS-CoV-2 seroprevalence: regional and worldwide - ScienceDirect

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

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

Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys

Using outbreak data to estimate the dynamic COVID-19 landscape in Eastern Africa, BMC Infectious Diseases

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

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

Socioeconomic status determines COVID-19 incidence and related mortality in Santiago, Chile

Full article: Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported

Two Years into the COVID-19 Pandemic: Lessons Learned