Cargando…

Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region

Background: COVID-19 is a significant public health problem that can have a negative impact, especially in vulnerable regions. Objective: This study aimed to provide evidence that could positively influence coping with COVID-19 based on the relationship between the potential epidemic vulnerability i...

Descripción completa

Detalles Bibliográficos
Autores principales: de Sousa Tavares, Lohanna Valeska, Ribeiro, Antônio Júnior Alves, Christofolini, Denise Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142768/
https://www.ncbi.nlm.nih.gov/pubmed/37104318
http://dx.doi.org/10.3390/tropicalmed8040192
_version_ 1785033691761737728
author de Sousa Tavares, Lohanna Valeska
Ribeiro, Antônio Júnior Alves
Christofolini, Denise Maria
author_facet de Sousa Tavares, Lohanna Valeska
Ribeiro, Antônio Júnior Alves
Christofolini, Denise Maria
author_sort de Sousa Tavares, Lohanna Valeska
collection PubMed
description Background: COVID-19 is a significant public health problem that can have a negative impact, especially in vulnerable regions. Objective: This study aimed to provide evidence that could positively influence coping with COVID-19 based on the relationship between the potential epidemic vulnerability index (PEVI) and socioepidemiological variables. This could be used as a decision-making tool for the planning of preventive initiatives in regions with relevant vulnerability indices for the spread of SARS-CoV-2. Methodology: We performed a cross-sectional study, with the analysis of the population characteristics of COVID-19 cases associated with neighborhoods’ PEVIs in the conurbation region of Crajubar, northeastern Brazil, through the mapping of socioeconomic–demographic factors and spatial autocorrelation. Results: The PEVI distribution indicated low vulnerability in areas with high real estate and commercial value; as communities moved away from these areas, the vulnerability levels increased. As for the number of cases, three of the five neighborhoods with a high–high autocorrelation, and some other neighborhoods showed a bivariate spatial correlation with a low–low PEVI but also high–low with indicators that make up the PEVI, representing areas that could be protected by public health measures to prevent increases in COVID-19 cases. Conclusions: The impact of the PEVI revealed areas that could be targeted by public policies to decrease the occurrence of COVID-19.
format Online
Article
Text
id pubmed-10142768
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-101427682023-04-29 Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region de Sousa Tavares, Lohanna Valeska Ribeiro, Antônio Júnior Alves Christofolini, Denise Maria Trop Med Infect Dis Article Background: COVID-19 is a significant public health problem that can have a negative impact, especially in vulnerable regions. Objective: This study aimed to provide evidence that could positively influence coping with COVID-19 based on the relationship between the potential epidemic vulnerability index (PEVI) and socioepidemiological variables. This could be used as a decision-making tool for the planning of preventive initiatives in regions with relevant vulnerability indices for the spread of SARS-CoV-2. Methodology: We performed a cross-sectional study, with the analysis of the population characteristics of COVID-19 cases associated with neighborhoods’ PEVIs in the conurbation region of Crajubar, northeastern Brazil, through the mapping of socioeconomic–demographic factors and spatial autocorrelation. Results: The PEVI distribution indicated low vulnerability in areas with high real estate and commercial value; as communities moved away from these areas, the vulnerability levels increased. As for the number of cases, three of the five neighborhoods with a high–high autocorrelation, and some other neighborhoods showed a bivariate spatial correlation with a low–low PEVI but also high–low with indicators that make up the PEVI, representing areas that could be protected by public health measures to prevent increases in COVID-19 cases. Conclusions: The impact of the PEVI revealed areas that could be targeted by public policies to decrease the occurrence of COVID-19. MDPI 2023-03-27 /pmc/articles/PMC10142768/ /pubmed/37104318 http://dx.doi.org/10.3390/tropicalmed8040192 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Sousa Tavares, Lohanna Valeska
Ribeiro, Antônio Júnior Alves
Christofolini, Denise Maria
Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region
title Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region
title_full Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region
title_fullStr Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region
title_full_unstemmed Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region
title_short Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region
title_sort potential epidemic vulnerability and socioepidemiological profile of sars-cov2 in the brazilian northeast region
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142768/
https://www.ncbi.nlm.nih.gov/pubmed/37104318
http://dx.doi.org/10.3390/tropicalmed8040192
work_keys_str_mv AT desousatavareslohannavaleska potentialepidemicvulnerabilityandsocioepidemiologicalprofileofsarscov2inthebraziliannortheastregion
AT ribeiroantoniojunioralves potentialepidemicvulnerabilityandsocioepidemiologicalprofileofsarscov2inthebraziliannortheastregion
AT christofolinidenisemaria potentialepidemicvulnerabilityandsocioepidemiologicalprofileofsarscov2inthebraziliannortheastregion