Evaluation of predictive capability of Bayesian spatio-temporal models for Covid-19 spread

Andrew Lawson

doi:10.1186/s12874-023-01997-3

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Evaluation of predictive capability of Bayesian spatio-temporal models for Covid-19 spread

Andrew Lawson

Year: 2023 Journal: BMC Medical Research Methodology Vol: 23 (1)Pages: 182-182 Publisher: BioMed Central

DOI: 10.1186/s12874-023-01997-3

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Keywords:

Bayesian probability Markov chain Monte Carlo Computer science Goodness of fit Random effects model Statistics Econometrics Coronavirus disease 2019 (COVID-19) Predictive modelling Contrast (vision) Bayesian inference Bayesian hierarchical modeling Machine learning Artificial intelligence Data mining Mathematics Infectious disease (medical specialty) Disease Medicine

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COVID-19 epidemiological studies

Physical Sciences → Mathematics → Modeling and Simulation

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Public Health Policies and Education

Health Sciences → Health Professions → General Health Professions

Evaluation of predictive capability of Bayesian spatio-temporal models for Covid-19 spread

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