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

被引:11
|
作者
Freire de Souza, Carlos Dornels [1 ]
Machado, Michael Ferreira [1 ]
da Silva Junior, Adeilton Goncalves [2 ]
Bastos Rolim Nunes, Bruno Eduardo [3 ]
do Carmo, Rodrigo Feliciano [4 ,5 ]
机构
[1] Fed Univ Alagoas UFAL, Dept Med, Postgrad Program Hlth Family, Arapiraca, Brazil
[2] Prefeitura Municipal Juazeiro, Dept Epidemiol, Juazeiro, BA, Brazil
[3] Fed Univ Alagoas UFAL, Dept Med, Arapiraca, Brazil
[4] Fed Univ Vale Sao Francisco UNIVASF, Postgrad Program Hlth & Biol Sci, BR-56304917 Petrolina, PE, Brazil
[5] Fed Univ Vale SaoFrancisco UNIVASF, Postgrad Program Biosci, BR-56304917 Petrolina, PE, Brazil
关键词
SARS-CoV-2; Coronavirus disease; Ecological study; Travel medicine; Pandemic; Spatial analysis; TRANSMISSION;
D O I
10.1016/j.jth.2021.101067
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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, Ilhe & acute;us 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.
引用
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页数:8
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