Bayesian modelling for COVID-19 seroprevalence studies

Por um escritor misterioso

Last updated 27 fevereiro 2025

Accounting for assay performance when estimating the temporal dynamics in SARS-CoV-2 seroprevalence in the U.S.

Data-driven modeling of covid-21 - living matter lab

One year of modeling and forecasting COVID-19 transmission to support policymakers in Connecticut

Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile, BMC Infectious Diseases

Age groups that sustain resurging COVID-19 epidemics in the United States

Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK

Full article: Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported

Dark matter', second waves and epidemiological modelling

Prevalence of SARS-CoV-2 antibodies in France: results from nationwide serological surveillance

Prevalence of Chemosensory Dysfunction in COVID-19 Patients: A Systematic Review and Meta-analysis Reveals Significant Ethnic Differences

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

Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil

Recomendado para você