Bayesian modelling for COVID-19 seroprevalence studies
Por um escritor misterioso
Descrição
Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling
Bayesian nonparametric inference for heterogeneously mixing infectious disease models
Variation in the COVID-19 infection–fatality ratio by age, time, and geography during the pre-vaccine era: a systematic analysis - The Lancet
Pathogens, Free Full-Text
Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys
Estimating SARS-CoV-2 Seroprevalence in Canadian Blood Donors, April 2020 to March 2021: Improving Accuracy with Multiple Assays
Seroprevalence of SARS-CoV-2 Antibodies in Children and Adults in St. Louis, Missouri, USA
Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil
Bayesian modelling for COVID-19 seroprevalence studies
Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile, BMC Infectious Diseases
Frontiers Modeling Early Phases of COVID-19 Pandemic in Northern Italy and Its Implication for Outbreak Diffusion
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