Bayesian modelling for COVID-19 seroprevalence studies

Por um escritor misterioso

Last updated 25 abril 2025

Screening of COVID-19 cases through a Bayesian network symptoms model and psychophysical olfactory test - ScienceDirect

Adjusting COVID-19 seroprevalence survey results to account for test sensitivity and specificity

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

SARS-CoV-2 antibody seroprevalence follow-up in Malagasy blood donors during the 2020 COVID-19 Epidemic - eBioMedicine

Estimates of the severity of coronavirus disease 2019: a model-based analysis - The Lancet Infectious Diseases

Temporal trends of SARS-CoV-2 seroprevalence during the first wave of the COVID-19 epidemic in Kenya

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

Frontiers Modeling the Spread of COVID-19 in Lebanon: A Bayesian Perspective

Estimating seroprevalence of SARS-CoV-2 in Ohio: A Bayesian multilevel poststratification approach with multiple diagnostic tests

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

Seroprevalence trends of anti-SARS-CoV-2 antibodies and associated risk factors: a population-based study

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