COVID-19 risk areas associated with social vulnerability in northeastern Brazil: an ecological study in 2020
Introduction: COVID-19 is a major public health concern in this century. The causative agent SARS-CoV-2, is highly contagious and spreads continuously across territories. Spatial analysis is of enormous importance in the process of understanding the disease and its transmission mechanisms. We aimed...
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Veröffentlicht in: | Journal of infection in developing countries 2022-08, Vol.16 (8), p.1285-1293 |
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creator | Alencar do Nascimento, Cícera Maria Freire De Souza, Carlos Dornels De Oliveira Silva, Lucas Emanuel Oliveira Silva, Wedja Amaro Barbosa, Nicolas Feliciano do Carmo, Rodrigo De Lima Andrade, Esdras Henrique de Oliveira Teixeira, Sérgio José Matos Rocha, Thiago |
description | Introduction: COVID-19 is a major public health concern in this century. The causative agent SARS-CoV-2, is highly contagious and spreads continuously across territories. Spatial analysis is of enormous importance in the process of understanding the disease and its transmission mechanisms. We aimed to identify the risk areas for COVID-19 and analyze their association with social vulnerability in Maceió, Alagoas. The study was conducted in 2020.
Methodology: This is an ecological study to evaluate the incidence, mortality and case fatality rate of COVID-19 and their relationship with 12 indicators of human development and social vulnerability. Multivariate and spatial statistics were applied. A 95% confidence interval and a 5% confidence level were considered.
Results: The spatial scan statistic revealed the existence of six high-risk clusters for the incidence of COVID-19. The regression model showed that social indicators, such as literacy of people, residents of private households, households with more than four residents, and resident brown population, were associated with COVID-19 transmission in Maceió-AL. The disease affected localities whose populations are exposed to a context of intense socioeconomic vulnerability.
Conclusions: Based on the results, it is necessary to adopt measures that take into account the social determinants of health in order to minimize the damage caused by the pandemic. |
doi_str_mv | 10.3855/jidc.15214 |
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Methodology: This is an ecological study to evaluate the incidence, mortality and case fatality rate of COVID-19 and their relationship with 12 indicators of human development and social vulnerability. Multivariate and spatial statistics were applied. A 95% confidence interval and a 5% confidence level were considered.
Results: The spatial scan statistic revealed the existence of six high-risk clusters for the incidence of COVID-19. The regression model showed that social indicators, such as literacy of people, residents of private households, households with more than four residents, and resident brown population, were associated with COVID-19 transmission in Maceió-AL. The disease affected localities whose populations are exposed to a context of intense socioeconomic vulnerability.
Conclusions: Based on the results, it is necessary to adopt measures that take into account the social determinants of health in order to minimize the damage caused by the pandemic.</description><identifier>ISSN: 1972-2680</identifier><identifier>ISSN: 2036-6590</identifier><identifier>EISSN: 1972-2680</identifier><identifier>DOI: 10.3855/jidc.15214</identifier><language>eng</language><publisher>Sassari: Journal of Infection in Developing Countries</publisher><subject>Coronaviruses ; COVID-19 ; Disease transmission ; Ecological studies ; Severe acute respiratory syndrome coronavirus 2</subject><ispartof>Journal of infection in developing countries, 2022-08, Vol.16 (8), p.1285-1293</ispartof><rights>2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-d002a8f0e789e82211cf355fac4799fc1408683615c304623a9d5b1e429d60ac3</citedby><orcidid>0000-0001-5153-6583 ; 0000-0003-3046-7798 ; 0000-0002-6043-0112 ; 0000-0002-6048-9472 ; 0000-0001-9601-6995 ; 0000-0003-2353-5916 ; 0000-0001-8044-7854 ; 0000-0003-0837-8254</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Alencar do Nascimento, Cícera Maria</creatorcontrib><creatorcontrib>Freire De Souza, Carlos Dornels</creatorcontrib><creatorcontrib>De Oliveira Silva, Lucas Emanuel</creatorcontrib><creatorcontrib>Oliveira Silva, Wedja</creatorcontrib><creatorcontrib>Amaro Barbosa, Nicolas</creatorcontrib><creatorcontrib>Feliciano do Carmo, Rodrigo</creatorcontrib><creatorcontrib>De Lima Andrade, Esdras</creatorcontrib><creatorcontrib>Henrique de Oliveira Teixeira, Sérgio</creatorcontrib><creatorcontrib>José Matos Rocha, Thiago</creatorcontrib><title>COVID-19 risk areas associated with social vulnerability in northeastern Brazil: an ecological study in 2020</title><title>Journal of infection in developing countries</title><description>Introduction: COVID-19 is a major public health concern in this century. The causative agent SARS-CoV-2, is highly contagious and spreads continuously across territories. Spatial analysis is of enormous importance in the process of understanding the disease and its transmission mechanisms. We aimed to identify the risk areas for COVID-19 and analyze their association with social vulnerability in Maceió, Alagoas. The study was conducted in 2020.
Methodology: This is an ecological study to evaluate the incidence, mortality and case fatality rate of COVID-19 and their relationship with 12 indicators of human development and social vulnerability. Multivariate and spatial statistics were applied. A 95% confidence interval and a 5% confidence level were considered.
Results: The spatial scan statistic revealed the existence of six high-risk clusters for the incidence of COVID-19. The regression model showed that social indicators, such as literacy of people, residents of private households, households with more than four residents, and resident brown population, were associated with COVID-19 transmission in Maceió-AL. The disease affected localities whose populations are exposed to a context of intense socioeconomic vulnerability.
Conclusions: Based on the results, it is necessary to adopt measures that take into account the social determinants of health in order to minimize the damage caused by the pandemic.</description><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease transmission</subject><subject>Ecological studies</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><issn>1972-2680</issn><issn>2036-6590</issn><issn>1972-2680</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdkE1LAzEQhoMoWKsXf0HAiwhbM8lmN_Gm9atQ6EW9Lmk2a1PTTU2ySv31rq0H8TTvwPMOw4PQKZARE5xfLm2tR8Ap5HtoALKkGS0E2f-TD9FRjEtCuGQcBsiNZy-T2wwkDja-YRWMiljF6LVVydT406YF3m4Of3SuNUHNrbNpg22LWx_Soi8kE1p8E9SXdVdYtdho7_yr1X0npq7espRQcowOGuWiOfmdQ_R8f_c0fsyms4fJ-HqaaUZFympCqBINMaWQRlAKoBvGeaN0XkrZaMiJKAQrgGtG8oIyJWs-B5NTWRdEaTZE57u76-DfOxNTtbJRG-dUa3wXK1pCziQUFHr07B-69F1o---2FJWcl7ynLnaUDj7GYJpqHexKhU0FpPoRX_2Ir7bi2TcI1XSG</recordid><startdate>20220830</startdate><enddate>20220830</enddate><creator>Alencar do Nascimento, Cícera Maria</creator><creator>Freire De Souza, Carlos Dornels</creator><creator>De Oliveira Silva, Lucas Emanuel</creator><creator>Oliveira Silva, Wedja</creator><creator>Amaro Barbosa, Nicolas</creator><creator>Feliciano do Carmo, Rodrigo</creator><creator>De Lima Andrade, Esdras</creator><creator>Henrique de Oliveira Teixeira, Sérgio</creator><creator>José Matos Rocha, Thiago</creator><general>Journal of Infection in Developing Countries</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8C1</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5153-6583</orcidid><orcidid>https://orcid.org/0000-0003-3046-7798</orcidid><orcidid>https://orcid.org/0000-0002-6043-0112</orcidid><orcidid>https://orcid.org/0000-0002-6048-9472</orcidid><orcidid>https://orcid.org/0000-0001-9601-6995</orcidid><orcidid>https://orcid.org/0000-0003-2353-5916</orcidid><orcidid>https://orcid.org/0000-0001-8044-7854</orcidid><orcidid>https://orcid.org/0000-0003-0837-8254</orcidid></search><sort><creationdate>20220830</creationdate><title>COVID-19 risk areas associated with social vulnerability in northeastern Brazil: an ecological study in 2020</title><author>Alencar do Nascimento, Cícera Maria ; 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The causative agent SARS-CoV-2, is highly contagious and spreads continuously across territories. Spatial analysis is of enormous importance in the process of understanding the disease and its transmission mechanisms. We aimed to identify the risk areas for COVID-19 and analyze their association with social vulnerability in Maceió, Alagoas. The study was conducted in 2020.
Methodology: This is an ecological study to evaluate the incidence, mortality and case fatality rate of COVID-19 and their relationship with 12 indicators of human development and social vulnerability. Multivariate and spatial statistics were applied. A 95% confidence interval and a 5% confidence level were considered.
Results: The spatial scan statistic revealed the existence of six high-risk clusters for the incidence of COVID-19. The regression model showed that social indicators, such as literacy of people, residents of private households, households with more than four residents, and resident brown population, were associated with COVID-19 transmission in Maceió-AL. The disease affected localities whose populations are exposed to a context of intense socioeconomic vulnerability.
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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Coronaviruses COVID-19 Disease transmission Ecological studies Severe acute respiratory syndrome coronavirus 2 |
title | COVID-19 risk areas associated with social vulnerability in northeastern Brazil: an ecological study in 2020 |
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