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Airports, highways and COVID-19: An analysis of spatial dynamics in Brazil

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....

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Autores principales: Freire de Souza, Carlos Dornels, Machado, Michael Ferreira, Gonçalves da Silva Junior, Adeilton, Bastos Rolim Nunes, Bruno Eduardo, Feliciano do Carmo, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039633/
https://www.ncbi.nlm.nih.gov/pubmed/33868924
http://dx.doi.org/10.1016/j.jth.2021.101067
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author Freire de Souza, Carlos Dornels
Machado, Michael Ferreira
Gonçalves da Silva Junior, Adeilton
Bastos Rolim Nunes, Bruno Eduardo
Feliciano do Carmo, Rodrigo
author_facet Freire de Souza, Carlos Dornels
Machado, Michael Ferreira
Gonçalves da Silva Junior, Adeilton
Bastos Rolim Nunes, Bruno Eduardo
Feliciano do Carmo, Rodrigo
author_sort Freire de Souza, Carlos Dornels
collection PubMed
description 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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spelling pubmed-80396332021-04-12 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 J Transp Health Article 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. Published by Elsevier Ltd. 2021-06 2021-04-12 /pmc/articles/PMC8039633/ /pubmed/33868924 http://dx.doi.org/10.1016/j.jth.2021.101067 Text en © 2021 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Freire de Souza, Carlos Dornels
Machado, Michael Ferreira
Gonçalves da Silva Junior, Adeilton
Bastos Rolim Nunes, Bruno Eduardo
Feliciano do Carmo, Rodrigo
Airports, highways and COVID-19: An analysis of spatial dynamics in Brazil
title Airports, highways and COVID-19: An analysis of spatial dynamics in Brazil
title_full Airports, highways and COVID-19: An analysis of spatial dynamics in Brazil
title_fullStr Airports, highways and COVID-19: An analysis of spatial dynamics in Brazil
title_full_unstemmed Airports, highways and COVID-19: An analysis of spatial dynamics in Brazil
title_short Airports, highways and COVID-19: An analysis of spatial dynamics in Brazil
title_sort airports, highways and covid-19: an analysis of spatial dynamics in brazil
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039633/
https://www.ncbi.nlm.nih.gov/pubmed/33868924
http://dx.doi.org/10.1016/j.jth.2021.101067
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