Evidence map›Paper›PMID 34518205›Full record

ArticleBMJ global health2021

Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic.

Beatrix Oroszi, Attila Juhász, Csilla Nagy, Judit Krisztina Horváth, Martin McKee, Róza Ádány

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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 20 papers.

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20citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Beatrix OrosziEpidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary.
Attila JuhászDepartment of Public Health, Government Office of the Capital City Budapest, Budapest, Hungary.
Csilla NagyDepartment of Public Health, Government Office of the Capital City Budapest, Budapest, Hungary.
Judit Krisztina HorváthEpidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary.
Martin McKeeEuropean Centre on Health of Societies in Transition (ECOHOST), London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-0121-9683
Róza ÁdányMTA-DE-Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary adany.roza@med.unideb.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe describe COVID-19 morbidity, mortality, case fatality and excess death in a country-wide study of municipalities in Hungary, exploring the association with socioeconomic status.

methodsThe spatial distribution of morbidity, mortality and case fatality was mapped using hierarchical Bayesian smoothed indirectly standardised ratios. Indirectly standardised ratios were used to evaluate the association between deprivation and the outcome measures. We looked separately at morbidity and mortality in the 10 districts with the highest and 10 districts with the lowest share of Roma population.

resultsCompared with the national average, the relative incidence of cases was 30%-36% lower in the most deprived quintile but the relative mortality and case fatality were 27%-32% higher. Expressed as incidence ratios relative to the national average, the most deprived municipalities had a relative incidence ratio of 0.64 (CI: 0.62 to 0.65) and 0.70 (CI: 0.69 to 0.72) for males and females, respectively. The corresponding figures for mortality were 1.32 (CI: 1.20 to 1.44) for males and 1.27 (CI: 1.16 to 1.39) for females and for case fatality 1.27 (CI: 1.16 to 1.39) and 1.32 (CI: 1.20 to 1.44) for males and females, respectively. The excess death rate (per 100 000) increased with deprivation levels (least deprived: 114.12 (CI: 108.60 to 119.84) and most deprived: 158.07 (CI: 149.30 to 167.23)). The 10 districts where Roma formed the greatest share of the population had an excess mortality rate 17.46% higher than the average for the most deprived quintile.

conclusionsThose living in more deprived municipalities had a lower risk of being identified as a confirmed COVID-19 case but had a higher risk of death. An inverse association between trends in morbidity and mortality by socioeconomic conditions should be a cause for concern and points to the need for responses, including those involving vaccination, to pay particular attention to inequalities and their causes.

Indexed as

COVID-19Bayes TheoremFemaleHumansHungaryMalePandemicsRisk FactorsSARS-CoV-2Socioeconomic FactorsCOVID-19epidemiologygeographic information systemspublic health

Identifiers

PMID34518205
PMCPMC8438581

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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 OpenQuestion graph.