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Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory

OBJECTIVES: This study aimed to evaluate the differences in incidence, non-intensive care unit (non-ICU) and intensive care unit (ICU) hospital admissions, and COVID-19-related mortality between the “inner areas” of Italy and its metropolitan areas. STUDY DESIGN: Retrospective population-based study...

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Autores principales: Petrelli, Alessio, Ventura, Martina, Di Napoli, Anteo, Mateo-Urdiales, Alberto, Pezzotti, Patrizio, Fabiani, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160611/
https://www.ncbi.nlm.nih.gov/pubmed/37151598
http://dx.doi.org/10.3389/fpubh.2023.1143189
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author Petrelli, Alessio
Ventura, Martina
Di Napoli, Anteo
Mateo-Urdiales, Alberto
Pezzotti, Patrizio
Fabiani, Massimo
author_facet Petrelli, Alessio
Ventura, Martina
Di Napoli, Anteo
Mateo-Urdiales, Alberto
Pezzotti, Patrizio
Fabiani, Massimo
author_sort Petrelli, Alessio
collection PubMed
description OBJECTIVES: This study aimed to evaluate the differences in incidence, non-intensive care unit (non-ICU) and intensive care unit (ICU) hospital admissions, and COVID-19-related mortality between the “inner areas” of Italy and its metropolitan areas. STUDY DESIGN: Retrospective population-based study conducted from the beginning of the pandemic in Italy (20 February 2020) to 31 March 2022. METHODS: The municipalities of Italy were classified into metropolitan areas, peri-urban/intermediate areas and “inner areas” (peripheral/ultra-peripheral). The exposure variable was residence in an “inner area” of Italy. Incidence of diagnosis of SARS-CoV-2 infection, non-ICU and ICU hospital admissions and death within 30 days from diagnosis were the outcomes of the study. COVID-19 vaccination access was also evaluated. Crude and age-standardized rates were calculated for all the study outcomes. The association between the type of area of residence and each outcome under study was evaluated by calculating the ratios between the standardized rates. All the analyses were stratified by period of observation (original Wuhan strain, Alpha variant, Delta variant, Omicron variant). RESULTS: Incidence and non-ICUs admissions rates were lower in “inner areas.” ICU admission and mortality rates were much lower in “inner areas” in the early phases of the pandemic, but this protection progressively diminished, with a slight excess risk observed in the “inner areas” during the Omicron period. The greater vaccination coverage in metropolitan areas may explain this trend. CONCLUSION: Prioritizing healthcare planning through the strengthening of the primary prevention policies in the peripheral areas of Italy is fundamental to guarantee health equity policies.
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spelling pubmed-101606112023-05-06 Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory Petrelli, Alessio Ventura, Martina Di Napoli, Anteo Mateo-Urdiales, Alberto Pezzotti, Patrizio Fabiani, Massimo Front Public Health Public Health OBJECTIVES: This study aimed to evaluate the differences in incidence, non-intensive care unit (non-ICU) and intensive care unit (ICU) hospital admissions, and COVID-19-related mortality between the “inner areas” of Italy and its metropolitan areas. STUDY DESIGN: Retrospective population-based study conducted from the beginning of the pandemic in Italy (20 February 2020) to 31 March 2022. METHODS: The municipalities of Italy were classified into metropolitan areas, peri-urban/intermediate areas and “inner areas” (peripheral/ultra-peripheral). The exposure variable was residence in an “inner area” of Italy. Incidence of diagnosis of SARS-CoV-2 infection, non-ICU and ICU hospital admissions and death within 30 days from diagnosis were the outcomes of the study. COVID-19 vaccination access was also evaluated. Crude and age-standardized rates were calculated for all the study outcomes. The association between the type of area of residence and each outcome under study was evaluated by calculating the ratios between the standardized rates. All the analyses were stratified by period of observation (original Wuhan strain, Alpha variant, Delta variant, Omicron variant). RESULTS: Incidence and non-ICUs admissions rates were lower in “inner areas.” ICU admission and mortality rates were much lower in “inner areas” in the early phases of the pandemic, but this protection progressively diminished, with a slight excess risk observed in the “inner areas” during the Omicron period. The greater vaccination coverage in metropolitan areas may explain this trend. CONCLUSION: Prioritizing healthcare planning through the strengthening of the primary prevention policies in the peripheral areas of Italy is fundamental to guarantee health equity policies. Frontiers Media S.A. 2023-04-21 /pmc/articles/PMC10160611/ /pubmed/37151598 http://dx.doi.org/10.3389/fpubh.2023.1143189 Text en Copyright © 2023 Petrelli, Ventura, Di Napoli, Mateo-Urdiales, Pezzotti and Fabiani. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Petrelli, Alessio
Ventura, Martina
Di Napoli, Anteo
Mateo-Urdiales, Alberto
Pezzotti, Patrizio
Fabiani, Massimo
Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory
title Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory
title_full Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory
title_fullStr Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory
title_full_unstemmed Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory
title_short Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory
title_sort geographic heterogeneity of the epidemiological impact of the covid-19 pandemic in italy using a socioeconomic proxy-based classification of the national territory
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160611/
https://www.ncbi.nlm.nih.gov/pubmed/37151598
http://dx.doi.org/10.3389/fpubh.2023.1143189
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