Selected article for: "cluster region and spatial distribution"

Author: Maciel, Jacques Antonio Cavalcante; Castro-Silva, Igor Iuco; Farias, Mariana Ramalho de
Title: Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará in Brazil.
  • Cord-id: cgf5zgau
  • Document date: 2020_1_1
  • ID: cgf5zgau
    Snippet: OBJECTIVE To analyze the spatial distribution of the incidence of COVID-19 and its correlation with the municipal human development index (MHDI) of the municipalities of Ceará. METHODS This is an ecological study with data recovered from the 15th epidemiological week and the 19th one of the year 2020 using the MHDI and the COVID-19 incidence coefficient for each municipality as variables. The univariate spatial correlation and the bivariate one were analyzed using the TerraView and GeoDa softwa
    Document: OBJECTIVE To analyze the spatial distribution of the incidence of COVID-19 and its correlation with the municipal human development index (MHDI) of the municipalities of Ceará. METHODS This is an ecological study with data recovered from the 15th epidemiological week and the 19th one of the year 2020 using the MHDI and the COVID-19 incidence coefficient for each municipality as variables. The univariate spatial correlation and the bivariate one were analyzed using the TerraView and GeoDa softwares. RESULTS The incidence of COVID-19 has spatial dependence with moderate positive correlation and the formation of high-high clusters located in the metropolitan region of Fortaleza and municipalities in the north region. The lowest incidence was a low-low cluster in the south and west regions. There was a positive bivariate correlation between MHDI and the incidence of COVID-19 with the formation of a cluster in the metropolitan region of Fortaleza. CONCLUSION The uneven mapping of COVID-19 and its relationship with MHDI in Ceará can contribute to actions to regional combat the pandemic.

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