Bayesian modelling for COVID-19 seroprevalence studies

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

Estimating SARS-CoV-2 Seroprevalence in Canadian Blood Donors, April 2020 to March 2021: Improving Accuracy with Multiple Assays

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

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

JCM, Free Full-Text

IJERPH, Free Full-Text

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

SARS-CoV-2 antibody dynamics in blood donors and COVID-19 epidemiology in eight Brazilian state capitals: A serial cross-sectional study

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

Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile, BMC Infectious Diseases

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

A note on COVID-19 seroprevalence studies: a meta-analysis using hierarchical modelling

Pathogens, Free Full-Text