Bayesian modelling for COVID-19 seroprevalence studies
Por um escritor misterioso
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Dark matter', second waves and epidemiological modelling
Frontiers Modeling Early Phases of COVID-19 Pandemic in Northern Italy and Its Implication for Outbreak Diffusion
Evaluation of Sampling, Analysis, and Normalization Methods for SARS-CoV-2 Concentrations in Wastewater to Assess COVID-19 Burdens in Wisconsin Communities
JCM, Free Full-Text
Bayesian modelling for COVID-19 seroprevalence studies
Variation in the COVID-19 infection–fatality ratio by age, time, and geography during the pre-vaccine era: a systematic analysis - The Lancet
A Continuous Bayesian Model for the Stimulation COVID-19 Epidemic Dynamics
Bayesian modelling for COVID-19 seroprevalence studies
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting - Douwes‐Schultz - 2022 - Canadian Journal of Statistics - Wiley Online Library
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
Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys
Estimating seroprevalence of SARS-CoV-2 in Ohio: A Bayesian multilevel poststratification approach with multiple diagnostic tests
The evolution of SARS-CoV-2 seroprevalence in Canada: a time-series study, 2020–2023
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