Bayesian modelling for COVID-19 seroprevalence studies
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Bayesian modelling for COVID-19 seroprevalence studies
Estimating SARS-CoV-2 Seroprevalence in Canadian Blood Donors, April 2020 to March 2021: Improving Accuracy with Multiple Assays
Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infectious contacts - ScienceDirect
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting - Douwes‐Schultz - 2022 - Canadian Journal of Statistics - Wiley Online Library
Two Years into the COVID-19 Pandemic: Lessons Learned
Bayesian modelling for COVID-19 seroprevalence studies
Estimation of HIV prevalence and burden in Nigeria: a Bayesian predictive modelling study - eClinicalMedicine
Seroprevalence trends of anti-SARS-CoV-2 antibodies and associated risk factors: a population-based study
COVID-19: Estimating the historical time series of infections
Dynamics of competing SARS-CoV-2 variants during the Omicron epidemic in England
The evolution of SARS-CoV-2 seroprevalence in Canada: a time-series study, 2020–2023
Dark matter', second waves and epidemiological modelling
A note on COVID-19 seroprevalence studies: a meta-analysis using hierarchical modelling
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