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0098/2021 - SPATIAL AND TEMPORAL ASPECTS AND ASSOCIATED FACTORS WITH THE INTERIORIZATION OF COVID-19 IN PERNAMBUCO
ASPECTOS ESPACIAL E TEMPORAL E FATORES ASSOCIADOS À INTERIORIZAÇÃO DA COVID-19 EM PERNAMBUCO INTERIORIZAÇAO DA COVID EM PERNAMBUCO

Author:

• Louisiana Regadas de Macedo Quinino - Quinino, L. R. de M. - <louisiana.quinino@fiocruz.br, louisiana_quinino@hotmail.com>
ORCID: https://orcid.org/0000-0002-7123-8089

Co-author(s):

• Flávia Helena Manhães Vasconcellos - Vasconcellos, F. H. M. - <flaviamanhaes302@gmail.com>
ORCID: https://orcid.org/0000-0002-3053-1924
• Isabel Soares Diniz de Oliveira - de Oliveira, I. S. D. - <belsdiniz@gmail.com>
ORCID: https://orcid.org/0000-0002-3255-3967
• Lucilene Rafael Aguiar - Aguiar, L. R. - <lucilene.rafael@upe.br>
ORCID: https://orcid.org/0000-0003-4286-0378
• Yasmin Talita de Moraes Ramos - Ramos, Y. T. de M. - <yasmimmoraes22@yahoo.com.br>
ORCID: https://orcid.org/0000-0003-0394-8473
• Fernanda de Bastiane - de Bastiane, F. - <fernanda.bastiani@ufpe.br>
ORCID: https://orcid.org/0000-0001-8532-639X


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.

Keywords:

Coronavirus Infections; Spatial analysis; epidemiology; risk

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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.. SPATIAL AND TEMPORAL ASPECTS AND ASSOCIATED FACTORS WITH THE INTERIORIZATION OF COVID-19 IN PERNAMBUCO. Cien Saude Colet [periódico na internet] (2021/Mar). [Citado em 28/09/2024]. Está disponível em: http://cienciaesaudecoletiva.com.br/en/articles/spatial-and-temporal-aspects-and-associated-factors-with-the-interiorization-of-covid19-in-pernambuco/17997?id=17997&id=17997



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