Evidence map›Paper›PMID 40604595›Full record

ArticleBMC public health2025

Determinants of COVID-19-related hospital and ICU admissions in the region Haaglanden, The Netherlands: a cross-sectional study.

K B Bingöl, I Meulman, K R M Wassing, I M van der Meer

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

K B BingölDepartment of Epidemiology and Policy advice, Public Health Service of Haaglanden, The Hague, The Netherlands. kubra.bingol@ggdhaaglanden.nl.
I MeulmanCenter for Health, Care and Society, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
K R M WassingDepartment of Infectious Diseases, Public Health Service of Haaglanden, The Hague, The Netherlands.
I M van der MeerDepartment of Epidemiology and Policy advice, Public Health Service of Haaglanden, The Hague, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has been a global health crisis since late 2019. By the end of 2021, the Netherlands reported over 3 million cases, leading to significant hospital and Intensive Care Unit (ICU) admissions. This study investigated the impact of demographic, socio-economic, health, including vaccination coverage, and neighborhood characteristics on COVID-19-related hospital and ICU admissions, with a focus on neighborhood differences in the region Haaglanden, the Netherlands.

methodsThis cross-sectional study included residents aged 25-79 years from the region Haaglanden. Data were stratified across three COVID-19 waves. Individual-level registry data from 2020 to 2021 were used, covering demographics, socio-economic factors, health information and neighborhood characteristics, linked to COVID-19-related hospital and ICU admissions. Multivariable logistic models were conducted per wave to estimate the odds of both COVID-19-related hospital and ICU admissions.

resultsMore than 700.000 inhabitants from the region Haaglanden were included per wave. COVID-19-related hospital admissions were 0.08% (n = 571) in the first wave, 0.40% (n = 2.865) in the second, and 0.17% (n = 858) in the third wave. ICU admissions were 0.02% (n = 159) in the first wave, 0.07% (n = 530) in the second, and 0.03% (n = 192) in the third wave. Hospital and ICU admission odds were higher among older individuals, males, lower-educated individuals, those of Moroccan origin, residents with lower income and wealth, poor physical health and those living in low socio-economic neighborhoods. In the third wave, neighborhoods with vaccination coverage below 60% had the highest rates of hospital and ICU admissions.

conclusionThis study highlighted that individual and neighborhood factors were associated with a higher risk of COVID-19-related hospital and ICU admissions, with the individual risk factors often concentrated in neighborhoods with low socio-economic status scores. Public health strategies should focus on high-risk individuals and incorporate tailored interventions, while early identification of disadvantaged areas is key for effective resource allocation and reducing disparities during future outbreaks.

Indexed as

COVID-19HospitalizationIntensive Care UnitsPatient AdmissionAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeighborhood CharacteristicsNetherlandsSARS-CoV-2Socioeconomic FactorsCOVID-19Determinants of healthHospital and ICU admissionNeighborhood disparities

Identifiers

PMID40604595
PMCPMC12220265

What Socratic holds

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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.