ArticleScientific reports2024
Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Spatio-Temporal COVID-19 Modeling: A Global Systematic Review of Data Integration, Equity, and Lessons for Pandemic Preparedness.International journal of environmental research and public health · 2026Pooled it
- Dynamics of social inequalities in severe COVID-19 outcomes in metropolitan France from 2020 to 2022.Communications medicine · 2025Article
- Bayesian spatio-temporal modeling of COVID-19 incidence in Algerian provinces using integrated nested Laplace approximations.Scientific reports · 2025Article
- The effect of recurrent mobility on air pollution exposure and mortality burden in Catalonia.International journal of health geographics · 2025Article
- An ecological study of COVID-19 outcomes among Florida counties.BMC public health · 2025Article
- Associations between social determinants of health and COVID-19 outcomes by variants of concern: a Bayesian spatiotemporal analysis.BMJ public health · 2025Article
- Comparing lagged impacts of mobility changes and environmental factors on COVID-19 waves in rural and urban India: A Bayesian spatiotemporal modelling study.PLOS global public health · 2025Article
- COVID-19 latent age-specific mortality in US states: a county-level spatio-temporal analysis with counterfactuals.Frontiers in epidemiology · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.