Bayesian modelling for COVID-19 seroprevalence studies
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A Bayesian estimate of the early COVID-19 infection fatality ratio in Brazil based on a random seroprevalence survey - ScienceDirect
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting - Douwes‐Schultz - 2022 - Canadian Journal of Statistics - Wiley Online Library
Bayesian modelling for COVID-19 seroprevalence studies
Prioritising COVID-19 vaccination in changing social and epidemiological landscapes: a mathematical modelling study - The Lancet Infectious Diseases
Inferring the COVID-19 infection fatality rate in the community-dwelling population: a simple Bayesian evidence synthesis of seroprevalence study data and imprecise mortality data, Epidemiology & Infection
Estimating SARS-CoV-2 Seroprevalence in Canadian Blood Donors, April 2020 to March 2021: Improving Accuracy with Multiple Assays
SARS-CoV-2 seroprevalence, cumulative infections, and immunity to symptomatic infection – A multistage national household survey and modelling study, Dominican Republic, June–October 2021 - The Lancet Regional Health – Americas
Screening of COVID-19 cases through a Bayesian network symptoms model and psychophysical olfactory test - ScienceDirect
Bayesian network-based spatial predictive modelling reveals COVID-19 transmission dynamics in Eswatini
Bayesian modelling for COVID-19 seroprevalence studies
Pathogens, Free Full-Text
Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis - The Lancet Global Health
Full article: Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported
Seroprevalence of SARS-CoV-2 Antibodies in Children and Adults in St. Louis, Missouri, USA
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