Bayesian modelling for COVID-19 seroprevalence studies
Por um escritor misterioso
Descrição
Quantifying previous SARS-CoV-2 infection through mixture modelling of antibody levels
The evolution of SARS-CoV-2 seroprevalence in Canada: a time-series study, 2020–2023
Prevalence of Chemosensory Dysfunction in COVID-19 Patients: A Systematic Review and Meta-analysis Reveals Significant Ethnic Differences
Temporal trends of SARS-CoV-2 seroprevalence during the first wave of the COVID-19 epidemic in Kenya
Using test positivity and reported case rates to estimate state-level COVID-19 prevalence and seroprevalence in the United States
One year of modeling and forecasting COVID-19 transmission to support policymakers in Connecticut
Screening of COVID-19 cases through a Bayesian network symptoms model and psychophysical olfactory test - ScienceDirect
Variation in the COVID-19 infection–fatality ratio by age, time, and geography during the pre-vaccine era: a systematic analysis - ScienceDirect
Frontiers Modeling the Spread of COVID-19 in Lebanon: A Bayesian Perspective
SARS-CoV-2 antibody dynamics in blood donors and COVID-19 epidemiology in eight Brazilian state capitals: A serial cross-sectional study
Prevalence of SARS-CoV-2 antibodies in France: results from nationwide serological surveillance
