Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia

Abstract In this study, we modelled the incidence of COVID-19 cases and hospitalisations by basic health areas (ABS) in Catalonia. Spatial, temporal and spatio-temporal incidence trends were described using estimation methods that allow to borrow strength from neighbouring areas and time points. Spe...

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Main Authors: Pau Satorra, Cristian Tebé
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-53527-w
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author Pau Satorra
Cristian Tebé
author_facet Pau Satorra
Cristian Tebé
author_sort Pau Satorra
collection DOAJ
description Abstract In this study, we modelled the incidence of COVID-19 cases and hospitalisations by basic health areas (ABS) in Catalonia. Spatial, temporal and spatio-temporal incidence trends were described using estimation methods that allow to borrow strength from neighbouring areas and time points. Specifically, we used Bayesian hierarchical spatio-temporal models estimated with Integrated Nested Laplace Approximation (INLA). An exploratory analysis was conducted to identify potential ABS factors associated with the incidence of cases and hospitalisations. High heterogeneity in cases and hospitalisation incidence was found between ABS and along the waves of the pandemic. Urban areas were found to have a higher incidence of COVID-19 cases and hospitalisations than rural areas, while socio-economic deprivation of the area was associated with a higher incidence of hospitalisations. In addition, full vaccination coverage in each ABS showed a protective effect on the risk of COVID-19 cases and hospitalisations.
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spelling doaj.art-dfdf448642a04f98b8cf2cb3a153b3ab2024-03-05T18:53:13ZengNature PortfolioScientific Reports2045-23222024-02-0114111410.1038/s41598-024-53527-wBayesian spatio-temporal analysis of the COVID-19 pandemic in CataloniaPau Satorra0Cristian Tebé1Biostatistics Support and Research Unit, Germans Trias i Pujol Research Institute and Hospital (IGTP)Biostatistics Support and Research Unit, Germans Trias i Pujol Research Institute and Hospital (IGTP)Abstract In this study, we modelled the incidence of COVID-19 cases and hospitalisations by basic health areas (ABS) in Catalonia. Spatial, temporal and spatio-temporal incidence trends were described using estimation methods that allow to borrow strength from neighbouring areas and time points. Specifically, we used Bayesian hierarchical spatio-temporal models estimated with Integrated Nested Laplace Approximation (INLA). An exploratory analysis was conducted to identify potential ABS factors associated with the incidence of cases and hospitalisations. High heterogeneity in cases and hospitalisation incidence was found between ABS and along the waves of the pandemic. Urban areas were found to have a higher incidence of COVID-19 cases and hospitalisations than rural areas, while socio-economic deprivation of the area was associated with a higher incidence of hospitalisations. In addition, full vaccination coverage in each ABS showed a protective effect on the risk of COVID-19 cases and hospitalisations.https://doi.org/10.1038/s41598-024-53527-w
spellingShingle Pau Satorra
Cristian Tebé
Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia
Scientific Reports
title Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia
title_full Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia
title_fullStr Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia
title_full_unstemmed Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia
title_short Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia
title_sort bayesian spatio temporal analysis of the covid 19 pandemic in catalonia
url https://doi.org/10.1038/s41598-024-53527-w
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