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

INTRODUCTION: We 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. METHODS: The spatial distribution of morbidity, mortality and case fatality was mapped using hierarchical...

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Autores principales: Oroszi, Beatrix, Juhász, Attila, Nagy, Csilla, Horváth, Judit Krisztina, McKee, Martin, Ádány, Róza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438581/
https://www.ncbi.nlm.nih.gov/pubmed/34518205
http://dx.doi.org/10.1136/bmjgh-2021-006427
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author Oroszi, Beatrix
Juhász, Attila
Nagy, Csilla
Horváth, Judit Krisztina
McKee, Martin
Ádány, Róza
author_facet Oroszi, Beatrix
Juhász, Attila
Nagy, Csilla
Horváth, Judit Krisztina
McKee, Martin
Ádány, Róza
author_sort Oroszi, Beatrix
collection PubMed
description INTRODUCTION: We 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. METHODS: The 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. RESULTS: Compared 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. CONCLUSIONS: Those 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.
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spelling pubmed-84385812021-09-14 Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic Oroszi, Beatrix Juhász, Attila Nagy, Csilla Horváth, Judit Krisztina McKee, Martin Ádány, Róza BMJ Glob Health Original Research INTRODUCTION: We 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. METHODS: The 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. RESULTS: Compared 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. CONCLUSIONS: Those 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. BMJ Publishing Group 2021-09-09 /pmc/articles/PMC8438581/ /pubmed/34518205 http://dx.doi.org/10.1136/bmjgh-2021-006427 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Oroszi, Beatrix
Juhász, Attila
Nagy, Csilla
Horváth, Judit Krisztina
McKee, Martin
Ádány, Róza
Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic
title Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic
title_full Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic
title_fullStr Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic
title_full_unstemmed Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic
title_short Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic
title_sort unequal burden of covid-19 in hungary: a geographical and socioeconomic analysis of the second wave of the pandemic
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438581/
https://www.ncbi.nlm.nih.gov/pubmed/34518205
http://dx.doi.org/10.1136/bmjgh-2021-006427
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