ArticlePloS one2021
COVID-19 mortality with regard to healthcare services availability, health risks, and socio-spatial factors at department level in France: A spatial cross-sectional analysis.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of the built environment and human factors on the spread of COVID-19: A systematic literature review.The Science of the total environment · 2022Pooled it
- The Impact of the COVID-19 Pandemic in Greece, 2020-January 2023: An Analysis Based on National Digital COVID-19 and Vaccination Registries.Epidemiologia (Basel, Switzerland) · 2026Article
- Excess mortality and associated sociodemographic factors during the COVID-19 pandemic in rural Pune Maharashtra, India: a retrospective data analysis from the Vadu health and demographic surveillance system.Population health metrics · 2026Review
- Socioeconomic inequalities and the COVID-19 pandemic in France: Territorial analyzes based on epidemic wave and metropolitan area.PloS one · 2026Article
- Evaluating geographic accessibility to COVID-19 vaccination across 54 countries/regions.BMJ global health · 2025Article
- Molecular Bases and Specificity behind the Activation of the Immune System OAS/RNAse L Pathway by Viral RNA.Viruses · 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
- Did COVID-19 ICU patient mortality risk increase as Colorado hospitals filled? A retrospective cohort study.BMJ open · 2024Article
- Country-based modelling of COVID-19 case fatality rate: A multiple regression analysis.World journal of virology · 2024Article
- Excess Mortality Stratified by Age and Sex for Croatia and Croatian Counties during the 2020-2021 COVID-19 Pandemic.Infectious disease reports · 2024Article
- Factors associated with maternal mortality in Kazakhstan: a pre- and during-pandemic comparison.Frontiers in public health · 2024Article
- Article
- Tokyo's COVID-19: An urban perspective on factors influencing infection rates in a global city.Sustainable cities and society · 2023Article
- Impacts of the COVID-19 pandemic on life expectancy at birth in Asia.BMC public health · 2023Article
- The Effects of Race/Ethnicity, Age, and Area Deprivation Index (ADI) on COVID-19 Disease Early Dynamics: Washington, D.C. Case Study.Journal of racial and ethnic health disparities · 2023Article
- Geographical variations and district-level factors associated with COVID-19 mortality in Indonesia: a nationwide ecological study.BMC public health · 2023Article
- Covid-19 hospital mortality using spatial hierarchical models: cohort design with 74,994 registers.Revista de saude publica · 2023Article
- Data-driven multiscale dynamical framework to control a pandemic evolution with non-pharmaceutical interventions.PloS one · 2023Article
- Health and healthcare variables associated with Italy's excess mortality during the first wave of the COVID-19 pandemic: An ecological study.Health policy (Amsterdam, Netherlands) · 2022Article
- Analysis of Deaths and Favorable Developments of Patients with SARS-CoV-2 Hospitalized in the Largest Hospital for Infectious Diseases and Pneumo-Phthisiology in the West of the Country.International journal of general medicine · 2022Article
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Abstract
backgroundThe 2019 coronavirus (COVID-19) epidemic began in Wuhan, China in December 2019 and quickly spread to the rest of the world. This study aimed to analyse the associations between the COVID-19 mortality rate in hospitals, the availability of health services, and socio-spatial and health risk factors at department level. METHODS AND
findingsThis spatial cross-sectional study used cumulative mortality data due to the COVID-19 pandemic in hospitals until 30 November 2020 as a main outcome, across 96 departments of mainland France. Data concerning health services, health risk factors, and socio-spatial factors were used as independent variables. Independently, we performed negative binomial, spatial and geographically weighted regression models. Our results revealed substantial geographic disparities. The spatial exploratory analysis showed a global positive spatial autocorrelation in each wave indicating a spatial dependence of the COVID-19 deaths across departments. In first wave about 75% of COVID-19 deaths were concentrated in departments of five regions compared to a total of 13 regions. The COVID-19 mortality rate was associated with the physicians density, and not the number of resuscitation beds. Socio-spatial factors were only associated with the COVID-19 mortality rate in first wave compared to wave 2. For example, the COVID-19 mortality rate increased by 35.69% for departments densely populated. Health risk factors were associated with the COVID-19 mortality rate depending on each wave. This study had inherent limitations to the ecological analysis as ecological bias risks and lack of individual data.
conclusionsOur results suggest that the COVID-19 pandemic has spread more rapidly and takes more severe forms in environments where there is already a high level of vulnerability due to social and health factors. This study showed a different dissemination pattern of COVID-19 mortality between the two waves: a spatial non-stationarity followed by a spatial stationarity in the relationships between the COVID-19 mortality rate and its potential drivers.
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