ArticleBMJ global health2021
Spatial clustering and contextual factors associated with hospitalisation and deaths due to COVID-19 in Sweden: a geospatial nationwide ecological study.
Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Intersectional inequalities in COVID-19 hospitalisation and mortality: A nationwide MAIHDA study of Swedish adults across four pandemic waves (2020-2022).SSM - population health · 2026Article
- COVID-19 vaccination coverage and the effect on regional disparities in morbidity and mortality among older people in Sweden, 2021-2023.Scandinavian journal of public health · 2026Article
- Spatial Clustering for Carolina Breast Cancer Study.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025Article
- Neighbourhood immigrant density and COVID-19 infection and hospitalisation among healthcare workers in Sweden: a register-based observational study.BMJ public health · 2025Article
- The association between neighborhood deprivation and engagement in mental healthcare after implementation of the perinatal collaborative care model.American journal of obstetrics and gynecology · 2024Article
- How do clinicians use post-COVID syndrome diagnosis? Analysis of clinical features in a Swedish COVID-19 cohort with 18 months' follow-up: a national observational cohort and matched cohort study.BMJ public health · 2024Article
- Construction and validation of a covariate-based model for district-level estimation of excess deaths due to COVID-19 in India.Journal of global health · 2024Article
- Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia.Scientific reports · 2024Article
- Differences in Covid-19 mortality among persons 70 years and older in an integrated care setting in region Stockholm: a multi-level analysis between March 2020-February 2021.BMC public health · 2024Article
- Predicting subnational incidence of COVID-19 cases and deaths in EU countries.BMC infectious diseases · 2024Article
- Mapping high-risk clusters and identifying place-based risk factors of mental health burden in pregnancy.SSM. Mental health · 2023Article
- Geographic disparities in COVID-19 testing and outcomes in Florida.BMC public health · 2023Article
- COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities.The Lancet. Public health · 2022Review
- Area-level socioeconomic deprivation, non-national residency, and Covid-19 incidence: A longitudinal spatiotemporal analysis in Germany.EClinicalMedicine · 2022Article
- Readability, understandability and language accessibility of Swedish websites about the coronavirus disease 2019: a cross-sectional study.BMC medical informatics and decision making · 2022Article
- Clustering of countries according to the COVID-19 incidence and mortality rates.BMC public health · 2022Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
introductionIn Sweden, thousands of hospitalisations and deaths due to COVID-19 were reported since the pandemic started. Considering the uneven spatial distribution of those severe outcomes at the municipality level, the objective of this study was, first, to identify high-risk areas for COVID-19 hospitalisations and deaths, and second, to determine the associated contextual factors with the uneven spatial distribution of both study outcomes in Sweden.
methodsThe existences of spatial autocorrelation of the standardised incidence (hospitalisations) ratio and standardised mortality ratio were investigated using Global Moran's
resultsTen high-risk spatial clusters of hospitalisations and six high-risk clusters of mortality were identified in Sweden from February 2020 to October 2020. The hospitalisations and deaths were associated with three contextual variables in a multivariate model: population density (inhabitants/km
conclusionsOur study identified high-risk spatial clusters for hospitalisations and deaths due to COVID-19 and the association of population density, the proportion of immigrants and the proportion of people aged 65+ years with those severe outcomes. Results indicate where public health measures must be reinforced to improve sustained and future disease control and optimise the distribution of resources.
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