0121/2020 - Spatial analysis of the COVID-19 distribution pattern in São Paulo State, Brazil Análise espacial do padrão de distribuição do COVID-19 no Estado de São Paulo, Brasil
No final de 2019, o surto de COVID-19 foirelatadoem Wuhan, China. O surto se espalhourapidamente para váriospaíses, tornando-se umaemergência de saúdepública de interesse internacional. Sem umavacinaoumedicamentosantivirais, medidas de controlesãonecessárias para entender a evolução dos casos. Neste estudo, relatamos por análiseespacial o padrãoespacial do surto do COVID-19. Nosso local de estudofoi no estado de São Paulo, Brasil, onde o primeirocaso da doençafoiconfirmado. Aplicamos o métodoKernel Density para gerarsuperfícies que indicamondehámaiordensidade de casos e, consequentemente, maiorrisco de confirmação de novoscasos. O padrãoespacial da pandemia de COVID-19 foiobservado no estado de São Paulo, em que a regiãometropolitana do estadofoi a que apresentou a maiorquantidade de casos, sendoclassificadacomo um hot spot. Alémdisso, as principaisrodovias e aeroportos que conectam a capital àscidades com maiordensidadepopulacionalforamclassificadascomoáreas de médiadensidadepelométodoKernel Density. Issoindicaumaexpansão gradual da capital para o interior. Portanto, as análisesespaciaissãofundamentais para entender a disseminação do vírus e suaassociação com outros dados espaciaispode ser essencial para orientar as medidas de controle.
Palavras-chave:
Coronavírus; Doençarespiratória, Pandemia; Densidade de Kernel.
Abstract:
At the end of 2019, the outbreak of COVID-19 was reported in Wuhan, China. The outbreak spread quickly to several countries, becoming a public health emergency of international interest. Without a vaccine or antiviral drugs, control measures are necessary to understand the evolution of cases. Here, we report through spatial analysis the spatial pattern of the COVID-19 outbreak. The study site was the State of São Paulo, Brazil, the first case of the disease was confirmed. We applied the Kernel Density to generate surfaces that indicate there is higher density of cases and, consequently, greater risk of confirming new cases. The spatial pattern of COVID-19 pandemic could be observed in São Paulo State, in which its metropolitan region standed out with the greatest cases, being classified as a hotspot. In addition, the main highways and airports that connect the capital to the cities with the highest population density were classified as medium density areas by the Kernel Density method.It indicates a gradual expansionthe capital to the interior. Therefore, spatial analyses are fundamental to understand the spread of the virus and its association with other spatial data can be essential to guide control measures.
Análise espacial do padrão de distribuição do COVID-19 no Estado de São Paulo, Brasil
Resumo (abstract):
At the end of 2019, the outbreak of COVID-19 was reported in Wuhan, China. The outbreak spread quickly to several countries, becoming a public health emergency of international interest. Without a vaccine or antiviral drugs, control measures are necessary to understand the evolution of cases. Here, we report through spatial analysis the spatial pattern of the COVID-19 outbreak. The study site was the State of São Paulo, Brazil, the first case of the disease was confirmed. We applied the Kernel Density to generate surfaces that indicate there is higher density of cases and, consequently, greater risk of confirming new cases. The spatial pattern of COVID-19 pandemic could be observed in São Paulo State, in which its metropolitan region standed out with the greatest cases, being classified as a hotspot. In addition, the main highways and airports that connect the capital to the cities with the highest population density were classified as medium density areas by the Kernel Density method.It indicates a gradual expansionthe capital to the interior. Therefore, spatial analyses are fundamental to understand the spread of the virus and its association with other spatial data can be essential to guide control measures.
Rex, F.E, Borges, C.A.S, Kafer, P.S. Spatial analysis of the COVID-19 distribution pattern in São Paulo State, Brazil. Cien Saude Colet [periódico na internet] (2020/jun). [Citado em 22/01/2025].
Está disponível em: http://cienciaesaudecoletiva.com.br/artigos/spatial-analysis-of-the-covid19-distribution-pattern-in-sao-paulo-state-brazil/17603?id=17603
