The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil

Detalhes bibliográficos
Autor(a) principal: Vander Luis de Souza Freitas
Data de Publicação: 2020
Outros Autores: Thais Cláudia Roma de Oliveira Konstantyner, Jeferson Feitosa Mendes, Cátia Souza do Nascimento Sepetauskas, Leonardo Bacelar Lima Santos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cadernos de Saúde Pública
Texto Completo: https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7432
Resumo: The inter-cities mobility network is of great importance in understanding outbreaks, especially in Brazil, a continental-dimension country. We adopt the data from the Brazilian Ministry of Health and the terrestrial flow of people between cities from the Brazilian Institute of Geography and Statistics database in two scales: cities from Brazil, without the North region, and from the São Paulo State. Grounded on the complex networks approach, and considering that the mobility network serves as a proxy for the SARS-CoV-2 spreading, the nodes and edges represent cities and flows, respectively. Network centrality measures such as strength and degree are ranked and compared to the list of cities, ordered according to the day that they confirmed the first case of COVID-19. The strength measure captures the cities with a higher vulnerability of receiving new cases. Besides, it follows the interiorization process of SARS-CoV-2 in the São Paulo State when the network flows are above specific thresholds. Some countryside cities such as Feira de Santana (Bahia State), Ribeirão Preto (São Paulo State), and Caruaru (Pernambuco State) have strength comparable to states’ capitals. Our analysis offers additional tools for understanding and decision support to inter-cities mobility interventions regarding the SARS-CoV-2 and other epidemics.
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spelling The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in BrazilCOVID-19Public Health SurveillanceEpidemicsThe inter-cities mobility network is of great importance in understanding outbreaks, especially in Brazil, a continental-dimension country. We adopt the data from the Brazilian Ministry of Health and the terrestrial flow of people between cities from the Brazilian Institute of Geography and Statistics database in two scales: cities from Brazil, without the North region, and from the São Paulo State. Grounded on the complex networks approach, and considering that the mobility network serves as a proxy for the SARS-CoV-2 spreading, the nodes and edges represent cities and flows, respectively. Network centrality measures such as strength and degree are ranked and compared to the list of cities, ordered according to the day that they confirmed the first case of COVID-19. The strength measure captures the cities with a higher vulnerability of receiving new cases. Besides, it follows the interiorization process of SARS-CoV-2 in the São Paulo State when the network flows are above specific thresholds. Some countryside cities such as Feira de Santana (Bahia State), Ribeirão Preto (São Paulo State), and Caruaru (Pernambuco State) have strength comparable to states’ capitals. Our analysis offers additional tools for understanding and decision support to inter-cities mobility interventions regarding the SARS-CoV-2 and other epidemics.La red de movilidad entre ciudades es de vital importancia para la comprensión de los brotes, especialmente en Brasil, un país con dimensiones continentales. Conseguimos los datos del Ministerio de Salud Brasileño y el flujo terrestre de gente entre ciudades a partir de la base de datos del Instituto Brasileño de Geografía y Estadística en dos escalas: ciudades de Brasil, sin la región Norte, y Estado de São Paulo. Basado en un planteamiento de redes complejas, y considerando que la movilidad de la red sirve como un proxy para la propagación del SARS-CoV-2, los nodos y extremos representan ciudades y flujos, respectivamente. Las medidas de centralidad de la red como la fuerza y el grado se clasificaron y compararon con la lista de ciudades, ordenadas según el día en que confirmaron el primer caso de COVID-19. La medida de fuerza captura las ciudades con la mayor vulnerabilidad en recibir nuevos casos. Asimismo, le sigue la interiorización del proceso de SARS-CoV-2 en el Estado de São Paulo, cuando los flujos de la red están por encima de determinados umbrales. Algunas ciudades en áreas rurales como Feira de Santana (Estado de Bahía), Ribeirão Preto (Estado de São Paulo), y Caruaru (Estado de Pernambuco) poseen una fuerza comparable a las capitales de los estados. Nuestro análisis ofrece herramientas adicionales para la compresión y apoyo en la toma de decisiones, respecto a las intervenciones de movilidad entre ciudades, en relación con el SARS-CoV-2 y otras epidemias.A rede de mobilidade intermunicipal é de suma importância para a compreensão de surtos, sobretudo no Brasil, um país com dimensões continentais. Os autores adotaram os dados do Ministério da Saúde e informações sobre o fluxo de pessoas entre cidades, da base de dados do Instituto Brasileiro de Geografia e Estatística, em duas escalas: cidades brasileiras, sem a região Norte, e do Estado de São Paulo. Com base na abordagem de redes complexas, e considerando que a rede de mobilidade serve como proxy para a propagação do SARS-CoV-2, os nós e arestas representam cidades e fluxos, respectivamente. As medidas de centralidade de rede, como força e grau, são ranqueadas e comparadas à lista das cidades, de acordo com o dia da confirmação do primeiro caso de COVID-19. A medida de força capta as cidades com maior vulnerabilidade à pandemia, além de acompanhar o processo de interiorização do SARS-CoV-2 no Estado de São Paulo quando os fluxos de rede estão acima de limiares específicos. Algumas cidades do interior, como Feira de Santana (Bahia), Ribeirão Preto (São Paulo) e Caruaru (Pernambuco) mostram forças comparáveis às capitais estaduais. Nossa análise oferece ferramentas adicionais para a compreensão e o apoio para a tomada de decisões sobre intervenções na mobilidade intermunicipal em relação ao SARS-CoV-2 e outras epidemias.Reports in Public HealthCadernos de Saúde Pública2020-10-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7432Reports in Public Health; Vol. 36 No. 9 (2020): SeptemberCadernos de Saúde Pública; v. 36 n. 9 (2020): Setembro1678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZenghttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7432/16428https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7432/16429Vander Luis de Souza FreitasThais Cláudia Roma de Oliveira KonstantynerJeferson Feitosa MendesCátia Souza do Nascimento SepetauskasLeonardo Bacelar Lima Santosinfo:eu-repo/semantics/openAccess2024-03-06T15:29:57Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/7432Revistahttps://cadernos.ensp.fiocruz.br/ojs/index.php/csphttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/oaicadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2024-03-06T13:08:32.437592Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true
dc.title.none.fl_str_mv The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil
title The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil
spellingShingle The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil
Vander Luis de Souza Freitas
COVID-19
Public Health Surveillance
Epidemics
title_short The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil
title_full The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil
title_fullStr The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil
title_full_unstemmed The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil
title_sort The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil
author Vander Luis de Souza Freitas
author_facet Vander Luis de Souza Freitas
Thais Cláudia Roma de Oliveira Konstantyner
Jeferson Feitosa Mendes
Cátia Souza do Nascimento Sepetauskas
Leonardo Bacelar Lima Santos
author_role author
author2 Thais Cláudia Roma de Oliveira Konstantyner
Jeferson Feitosa Mendes
Cátia Souza do Nascimento Sepetauskas
Leonardo Bacelar Lima Santos
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Vander Luis de Souza Freitas
Thais Cláudia Roma de Oliveira Konstantyner
Jeferson Feitosa Mendes
Cátia Souza do Nascimento Sepetauskas
Leonardo Bacelar Lima Santos
dc.subject.por.fl_str_mv COVID-19
Public Health Surveillance
Epidemics
topic COVID-19
Public Health Surveillance
Epidemics
description The inter-cities mobility network is of great importance in understanding outbreaks, especially in Brazil, a continental-dimension country. We adopt the data from the Brazilian Ministry of Health and the terrestrial flow of people between cities from the Brazilian Institute of Geography and Statistics database in two scales: cities from Brazil, without the North region, and from the São Paulo State. Grounded on the complex networks approach, and considering that the mobility network serves as a proxy for the SARS-CoV-2 spreading, the nodes and edges represent cities and flows, respectively. Network centrality measures such as strength and degree are ranked and compared to the list of cities, ordered according to the day that they confirmed the first case of COVID-19. The strength measure captures the cities with a higher vulnerability of receiving new cases. Besides, it follows the interiorization process of SARS-CoV-2 in the São Paulo State when the network flows are above specific thresholds. Some countryside cities such as Feira de Santana (Bahia State), Ribeirão Preto (São Paulo State), and Caruaru (Pernambuco State) have strength comparable to states’ capitals. Our analysis offers additional tools for understanding and decision support to inter-cities mobility interventions regarding the SARS-CoV-2 and other epidemics.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-05
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7432
url https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7432
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7432/16428
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7432/16429
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
application/pdf
dc.publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
dc.source.none.fl_str_mv Reports in Public Health; Vol. 36 No. 9 (2020): September
Cadernos de Saúde Pública; v. 36 n. 9 (2020): Setembro
1678-4464
0102-311X
reponame:Cadernos de Saúde Pública
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Cadernos de Saúde Pública
collection Cadernos de Saúde Pública
repository.name.fl_str_mv Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br
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