Taking the inner route: Spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil.

Detalhes bibliográficos
Autor(a) principal: Fortaleza, C. M.C.B. [UNESP]
Data de Publicação: 2020
Outros Autores: Guimarães, R. B. [UNESP], De Almeida, G. B. [UNESP], Pronunciate, M. [UNESP], Ferreira, C. P. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1017/S095026882000134X
http://hdl.handle.net/11449/200676
Resumo: Even though the impact of COVID-19 in metropolitan areas has been extensively studied, the geographic spread to smaller cities is also of great concern. We conducted an ecological study aimed at identifying predictors of early introduction, incidence rates of COVID-19 and mortality (up to 8 May 2020) among 604 municipalities in inner São Paulo State, Brazil. Socio-demographic indexes, road distance to the state capital and a classification of regional relevance were included in predictive models for time to COVID-19 introduction (Cox Regression), incidence and mortality rates (Zero-Inflated Binomial Negative Regression). In multivariable analyses, greater demographic density and higher classification of regional relevance were associated with both early introduction and increased rates of COVID-19 incidence and mortality. Other predictive factors varied, but distance from the State Capital (São Paulo City) was negatively associated with time-to-introduction and with incidence rates of COVID-19. Our results reinforce the hypothesis of two patterns of geographical spread of SARS-Cov-2 infection: one that is spatial (from the metropolitan area into the inner state) and another which is hierarchical (from urban centres of regional relevance to smaller and less connected municipalities). Those findings may apply to other settings, especially in developing and highly heterogeneous countries, and point to a potential benefit from strengthening non-pharmaceutical control strategies in areas of greater risk.
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spelling Taking the inner route: Spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil.Even though the impact of COVID-19 in metropolitan areas has been extensively studied, the geographic spread to smaller cities is also of great concern. We conducted an ecological study aimed at identifying predictors of early introduction, incidence rates of COVID-19 and mortality (up to 8 May 2020) among 604 municipalities in inner São Paulo State, Brazil. Socio-demographic indexes, road distance to the state capital and a classification of regional relevance were included in predictive models for time to COVID-19 introduction (Cox Regression), incidence and mortality rates (Zero-Inflated Binomial Negative Regression). In multivariable analyses, greater demographic density and higher classification of regional relevance were associated with both early introduction and increased rates of COVID-19 incidence and mortality. Other predictive factors varied, but distance from the State Capital (São Paulo City) was negatively associated with time-to-introduction and with incidence rates of COVID-19. Our results reinforce the hypothesis of two patterns of geographical spread of SARS-Cov-2 infection: one that is spatial (from the metropolitan area into the inner state) and another which is hierarchical (from urban centres of regional relevance to smaller and less connected municipalities). Those findings may apply to other settings, especially in developing and highly heterogeneous countries, and point to a potential benefit from strengthening non-pharmaceutical control strategies in areas of greater risk.Department of Infectious Diseases Botucatu School of Medicine São Paulo State University (UNESP), Av. Prof. Mário Rubens Guimarães Montenegro, s/nDepartment of Geography Faculty of Science and Technology São Paulo State University (UNESP)Department of Biostatistics Botucatu Institute of Biosciences São Paulo State University (UNESP)Department of Infectious Diseases Botucatu School of Medicine São Paulo State University (UNESP), Av. Prof. Mário Rubens Guimarães Montenegro, s/nDepartment of Geography Faculty of Science and Technology São Paulo State University (UNESP)Department of Biostatistics Botucatu Institute of Biosciences São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)Fortaleza, C. M.C.B. [UNESP]Guimarães, R. B. [UNESP]De Almeida, G. B. [UNESP]Pronunciate, M. [UNESP]Ferreira, C. P. [UNESP]2020-12-12T02:13:06Z2020-12-12T02:13:06Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1017/S095026882000134XEpidemiology and Infection.1469-44090950-2688http://hdl.handle.net/11449/20067610.1017/S095026882000134X2-s2.0-85087253472802252746836945920527496982046170000-0002-9925-53740000-0002-9404-6098Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEpidemiology and Infectioninfo:eu-repo/semantics/openAccess2021-11-18T17:39:08Zoai:repositorio.unesp.br:11449/200676Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-11-18T17:39:08Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Taking the inner route: Spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil.
title Taking the inner route: Spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil.
spellingShingle Taking the inner route: Spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil.
Fortaleza, C. M.C.B. [UNESP]
title_short Taking the inner route: Spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil.
title_full Taking the inner route: Spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil.
title_fullStr Taking the inner route: Spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil.
title_full_unstemmed Taking the inner route: Spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil.
title_sort Taking the inner route: Spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil.
author Fortaleza, C. M.C.B. [UNESP]
author_facet Fortaleza, C. M.C.B. [UNESP]
Guimarães, R. B. [UNESP]
De Almeida, G. B. [UNESP]
Pronunciate, M. [UNESP]
Ferreira, C. P. [UNESP]
author_role author
author2 Guimarães, R. B. [UNESP]
De Almeida, G. B. [UNESP]
Pronunciate, M. [UNESP]
Ferreira, C. P. [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Fortaleza, C. M.C.B. [UNESP]
Guimarães, R. B. [UNESP]
De Almeida, G. B. [UNESP]
Pronunciate, M. [UNESP]
Ferreira, C. P. [UNESP]
description Even though the impact of COVID-19 in metropolitan areas has been extensively studied, the geographic spread to smaller cities is also of great concern. We conducted an ecological study aimed at identifying predictors of early introduction, incidence rates of COVID-19 and mortality (up to 8 May 2020) among 604 municipalities in inner São Paulo State, Brazil. Socio-demographic indexes, road distance to the state capital and a classification of regional relevance were included in predictive models for time to COVID-19 introduction (Cox Regression), incidence and mortality rates (Zero-Inflated Binomial Negative Regression). In multivariable analyses, greater demographic density and higher classification of regional relevance were associated with both early introduction and increased rates of COVID-19 incidence and mortality. Other predictive factors varied, but distance from the State Capital (São Paulo City) was negatively associated with time-to-introduction and with incidence rates of COVID-19. Our results reinforce the hypothesis of two patterns of geographical spread of SARS-Cov-2 infection: one that is spatial (from the metropolitan area into the inner state) and another which is hierarchical (from urban centres of regional relevance to smaller and less connected municipalities). Those findings may apply to other settings, especially in developing and highly heterogeneous countries, and point to a potential benefit from strengthening non-pharmaceutical control strategies in areas of greater risk.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:13:06Z
2020-12-12T02:13:06Z
2020-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1017/S095026882000134X
Epidemiology and Infection.
1469-4409
0950-2688
http://hdl.handle.net/11449/200676
10.1017/S095026882000134X
2-s2.0-85087253472
8022527468369459
2052749698204617
0000-0002-9925-5374
0000-0002-9404-6098
url http://dx.doi.org/10.1017/S095026882000134X
http://hdl.handle.net/11449/200676
identifier_str_mv Epidemiology and Infection.
1469-4409
0950-2688
10.1017/S095026882000134X
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2052749698204617
0000-0002-9925-5374
0000-0002-9404-6098
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Epidemiology and Infection
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eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
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repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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