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Airports, highways and COVID-19: An analysis of spatial dynamics in Brazil.
Freire de Souza, Carlos Dornels; Machado, Michael Ferreira; Gonçalves da Silva Junior, Adeilton; Bastos Rolim Nunes, Bruno Eduardo; Feliciano do Carmo, Rodrigo.
Afiliação
  • Freire de Souza CD; Department of Medicine, Post-graduation Program in Health Family, Federal University of Alagoas (UFAL), Arapiraca, Brazil.
  • Machado MF; Department of Medicine, Post-graduation Program in Health Family, Federal University of Alagoas (UFAL), Arapiraca, Brazil.
  • Gonçalves da Silva Junior A; Department of Epidemiology. Prefeitura Municipal de Juazeiro, Bahia, Brazil.
  • Bastos Rolim Nunes BE; Department of Medicine, Federal University of Alagoas (UFAL), Arapiraca, Brazil.
  • Feliciano do Carmo R; Postgraduate Program in Health and Biological Sciences, Federal University of Vale do São Francisco (UNIVASF), Petrolina, Pernambuco, 56304-917, Brazil.
J Transp Health ; 21: 101067, 2021 Jun.
Article em En | MEDLINE | ID: mdl-33868924
INTRODUCTION: The high transmissibility and infectivity of the new coronavirus, the high proportion of asymptomatic transmitters and the rapid and continuous spatial displacement of people, by the different mechanisms of locomotion, are elements that can contribute to the dissemination of COVID-19. This study aims to describe the geographical dispersion of COVID-19 in the state of Bahia and the importance of major airports and highways in the dynamics of disease transmission. METHODS: This is an ecological study involving all cases of COVID-19 registered in the state of Bahia between March 6, date of the first registered case and May 16, 2020. After collection, an exploratory spatial analysis was performed, considering the cases accumulated on the last day of each epidemiological week. RESULTS: The first cases of COVID-19 were concentrated in areas served by three important airport complexes in the state, located in Salvador, Ilhéus and Porto Seguro. From week 16-20, there was a more intense expansion of COVID-19 to the interior of the state. A global spatial autocorrelation was observed (I Moran 0.2323; p = 0.01), with the influence of distance: positive correlation at distances less than 205.8 km (I Moran 0.040; p = 0.01) and greater than 800 km (I Moran 0.080; p = 0.01). CONCLUSIONS: Based on the spatial dispersion pattern of COVID-19 in the state of Bahia, airports and highways that cross the state were responsible for the interiorization of the disease.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Transp Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Transp Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda