Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England

Sujit K. Sahu; Dankmar Böhning

doi:10.1016/j.spasta.2021.100519

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Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England

Sujit K. Sahu Dankmar Böhning

Year: 2021 Journal: Spatial Statistics Vol: 49 Pages: 100519-100519 Publisher: Elsevier BV

DOI: 10.1016/j.spasta.2021.100519

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Keywords:

Bivariate analysis Covariate Bayesian probability Econometrics Pandemic Multivariate statistics Computer science Geography Coronavirus disease 2019 (COVID-19) Joint (building) Statistics Actuarial science Mathematics Disease Economics Engineering Medicine Infectious disease (medical specialty)

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Health disparities and outcomes

Social Sciences → Social Sciences → Health

Insurance, Mortality, Demography, Risk Management

Social Sciences → Social Sciences → Demography

COVID-19 epidemiological studies

Physical Sciences → Mathematics → Modeling and Simulation

Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England

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Citation History

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