0098/2021 - ASPECTOS ESPACIAL E TEMPORAL E FATORES ASSOCIADOS À INTERIORIZAÇÃO DA COVID-19 EM PERNAMBUCO INTERIORIZAÇAO DA COVID EM PERNAMBUCO SPATIAL AND TEMPORAL ASPECTS AND ASSOCIATED FACTORS WITH THE INTERIORIZATION OF COVID-19 IN PERNAMBUCO
Análise espacial e temporal da interiorização da Covid-19 em Pernambuco, considerando-se os fatores socioeconômicos correlacionados. Estudo ecológico, março a junho de 2020. Geraram-se mapas a partir do coeficiente de incidência por município de residência para determinar a dinâmica espacial da Covid-19. Estudou-se a correlação entre indicadores socioeconômicos e o coeficiente nas regiões metropolitana do Recife (RMR) e interior. Suavizou-se este coeficiente e calculou-se o teste de Moran global. Os primeiros casos foram registrados em Recife e arredores. O caminho para a autoctonia se deu em municípios vizinhos e naqueles supridos por grandes rodovias. A maior incidência na RMR (640,22/ 100.000 hab) correlacionou-se à maior população e densidade demográfica e menor taxa de urbanização e IDH-M. No interior a incidência (361,29/ 100.000 hab) esteve correlacionada à maior população, densidade demográfica e taxa de urbanização, e menor área (p < 0,05). As áreas de maior risco concentraram-se na RMR, mas o interior apresentou áreas de transição, indicando tendência à interiorização (p < 0,05). Ter ciência do padrão de distribuição espacial da Covid-19, aliada aos fatores associados poderão contribuir para maior efetividade das ações de controle.
Palavras-chave:
Covid- 19; Análise espacial; epidemiologia; risco
Abstract:
Spatial and temporal analysis of Covid-19's interiorization in Pernambuco, considering the correlated socioeconomic factors. Ecological study, March to June 2020. Maps were generated from the incidence coefficient by municipality of residence to determine the spatial dynamics of Covid-19. The correlation between socioeconomic indicators and the coefficient in the metropolitan areas of Recife (RMR) and inland regions was studied. This coefficient was smoothed and the global Moran test was calculated. The first cases were recorded in and around Recife. The path to autochthony took place in neighboring municipalities and in those supplied by major highways. The highest incidence in the RMR (640.22 / 100,000 inhabitants) was correlated to the larger population and demographic density and lower rate of urbanization and HDI-M. Inland, the incidence (361.29 / 100,000 inhabitants) was correlated with a larger population, demographic density and urbanization rate, and a smaller area (p <0.05). The areas of greatest risk were concentrated in the RMR, but the interior showed transition areas, indicating a tendency to interiorization (p <0.05). Being aware of the Covid-19 spatial distribution pattern, combined with the associated factors, may contribute to greater effectiveness of control actions.
SPATIAL AND TEMPORAL ASPECTS AND ASSOCIATED FACTORS WITH THE INTERIORIZATION OF COVID-19 IN PERNAMBUCO
Resumo (abstract):
Spatial and temporal analysis of Covid-19's interiorization in Pernambuco, considering the correlated socioeconomic factors. Ecological study, March to June 2020. Maps were generated from the incidence coefficient by municipality of residence to determine the spatial dynamics of Covid-19. The correlation between socioeconomic indicators and the coefficient in the metropolitan areas of Recife (RMR) and inland regions was studied. This coefficient was smoothed and the global Moran test was calculated. The first cases were recorded in and around Recife. The path to autochthony took place in neighboring municipalities and in those supplied by major highways. The highest incidence in the RMR (640.22 / 100,000 inhabitants) was correlated to the larger population and demographic density and lower rate of urbanization and HDI-M. Inland, the incidence (361.29 / 100,000 inhabitants) was correlated with a larger population, demographic density and urbanization rate, and a smaller area (p <0.05). The areas of greatest risk were concentrated in the RMR, but the interior showed transition areas, indicating a tendency to interiorization (p <0.05). Being aware of the Covid-19 spatial distribution pattern, combined with the associated factors, may contribute to greater effectiveness of control actions.
Quinino, L. R. de M., Vasconcellos, F. H. M., de Oliveira, I. S. D., Aguiar, L. R., Ramos, Y. T. de M., de Bastiane, F.. ASPECTOS ESPACIAL E TEMPORAL E FATORES ASSOCIADOS À INTERIORIZAÇÃO DA COVID-19 EM PERNAMBUCO INTERIORIZAÇAO DA COVID EM PERNAMBUCO. Cien Saude Colet [periódico na internet] (2021/mar). [Citado em 22/12/2024].
Está disponível em: http://cienciaesaudecoletiva.com.br/artigos/aspectos-espacial-e-temporal-e-fatores-associados-a-interiorizacao-da-covid19-em-pernambuco-interiorizacao-da-covid-em-pernambuco/17997?id=17997
