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SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach
BACKGROUND: To face the second wave of COVID-19, Italy implemented a tiered restriction system with different limitation levels (yellow = medium; orange = medium-high, red = high) at the beginning of November 2020. The restrictions systematically reduced the transmission of SARS-CoV-2 with increasin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926448/ https://www.ncbi.nlm.nih.gov/pubmed/36788600 http://dx.doi.org/10.1186/s12889-023-15246-1 |
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author | Dei Bardi, Luca Acampora, Anna Cacciani, Laura Di Martino, Mirko Agabiti, Nera Davoli, Marina Cesaroni, Giulia |
author_facet | Dei Bardi, Luca Acampora, Anna Cacciani, Laura Di Martino, Mirko Agabiti, Nera Davoli, Marina Cesaroni, Giulia |
author_sort | Dei Bardi, Luca |
collection | PubMed |
description | BACKGROUND: To face the second wave of COVID-19, Italy implemented a tiered restriction system with different limitation levels (yellow = medium; orange = medium-high, red = high) at the beginning of November 2020. The restrictions systematically reduced the transmission of SARS-CoV-2 with increasing strength for increasing tier. However, it is unknown whether the effect of limitations was equal between provinces with different socioeconomic levels. Therefore, we investigated the association between the province’s socioeconomic level and SARS-CoV-2 infection daily reproduction number in each restriction level. METHODS: We measured the province’s socioeconomic level as the percentage of individuals whose 2019 total yearly income was lower than 10,000€, using the measure as a proxy of economic disadvantage. We estimated the daily reproduction number (Rt) at the province level using the SARS-CoV-2 daily incidence data from November 2020 to May 2021. We then used multilevel linear regression models with random intercepts stratified by restriction level to estimate the association between economic disadvantage and Rt. We also adjusted the analyses for potential confounders of the association between the province’s economic disadvantage and the Rt: the percentage of people with 0–5 years, the quartiles of population density, and the geographical repartition. RESULTS: Overall, we found increasing Rt in yellow (+ 0.004 p < 0.01, from Rt = 0.99 to 1.08 in three weeks) and containing effects for the orange (-0.005 p < 0.01, from Rt = 1.03 to 0.93) and the red tier (-0.014 p < 0.01, from Rt = 1.05 to 0.76). More economically disadvantaged provinces had higher Rt levels in every tier, although non-significantly in the yellow level (yellow = 0.001 p = 0.19; orange = 0.002 p = 0.02; red = 0.004 p < 0.01). The results showed that the association between economic disadvantage and Rt differed by level of restriction. The number of days into the restriction and the economic disadvantage had statistically significant interactions in every adjusted model. Compared to better off, more economically disadvantaged provinces had slower increasing trends in yellow and steeper Rt reductions in orange, but they showed slower Rt reductions in the highest tier. CONCLUSION: Lower tiers were more effective in more economically disadvantaged provinces, while the highest restriction level had milder effects. These results underline the importance of accounting for socioeconomic level when implementing public health measures. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15246-1. |
format | Online Article Text |
id | pubmed-9926448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99264482023-02-14 SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach Dei Bardi, Luca Acampora, Anna Cacciani, Laura Di Martino, Mirko Agabiti, Nera Davoli, Marina Cesaroni, Giulia BMC Public Health Research BACKGROUND: To face the second wave of COVID-19, Italy implemented a tiered restriction system with different limitation levels (yellow = medium; orange = medium-high, red = high) at the beginning of November 2020. The restrictions systematically reduced the transmission of SARS-CoV-2 with increasing strength for increasing tier. However, it is unknown whether the effect of limitations was equal between provinces with different socioeconomic levels. Therefore, we investigated the association between the province’s socioeconomic level and SARS-CoV-2 infection daily reproduction number in each restriction level. METHODS: We measured the province’s socioeconomic level as the percentage of individuals whose 2019 total yearly income was lower than 10,000€, using the measure as a proxy of economic disadvantage. We estimated the daily reproduction number (Rt) at the province level using the SARS-CoV-2 daily incidence data from November 2020 to May 2021. We then used multilevel linear regression models with random intercepts stratified by restriction level to estimate the association between economic disadvantage and Rt. We also adjusted the analyses for potential confounders of the association between the province’s economic disadvantage and the Rt: the percentage of people with 0–5 years, the quartiles of population density, and the geographical repartition. RESULTS: Overall, we found increasing Rt in yellow (+ 0.004 p < 0.01, from Rt = 0.99 to 1.08 in three weeks) and containing effects for the orange (-0.005 p < 0.01, from Rt = 1.03 to 0.93) and the red tier (-0.014 p < 0.01, from Rt = 1.05 to 0.76). More economically disadvantaged provinces had higher Rt levels in every tier, although non-significantly in the yellow level (yellow = 0.001 p = 0.19; orange = 0.002 p = 0.02; red = 0.004 p < 0.01). The results showed that the association between economic disadvantage and Rt differed by level of restriction. The number of days into the restriction and the economic disadvantage had statistically significant interactions in every adjusted model. Compared to better off, more economically disadvantaged provinces had slower increasing trends in yellow and steeper Rt reductions in orange, but they showed slower Rt reductions in the highest tier. CONCLUSION: Lower tiers were more effective in more economically disadvantaged provinces, while the highest restriction level had milder effects. These results underline the importance of accounting for socioeconomic level when implementing public health measures. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15246-1. BioMed Central 2023-02-14 /pmc/articles/PMC9926448/ /pubmed/36788600 http://dx.doi.org/10.1186/s12889-023-15246-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Dei Bardi, Luca Acampora, Anna Cacciani, Laura Di Martino, Mirko Agabiti, Nera Davoli, Marina Cesaroni, Giulia SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach |
title | SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach |
title_full | SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach |
title_fullStr | SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach |
title_full_unstemmed | SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach |
title_short | SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach |
title_sort | sars-cov-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926448/ https://www.ncbi.nlm.nih.gov/pubmed/36788600 http://dx.doi.org/10.1186/s12889-023-15246-1 |
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