Maciel Jacques Antonio Cavalcante, Castro-Silva Igor Iuco, Farias Mariana Ramalho de
Curso de Odontologia, Universidade Federal do Ceará - Sobral (CE), Brasil.
Rev Bras Epidemiol. 2020 Jun 22;23:e200057. doi: 10.1590/1980-549720200057. eCollection 2020.
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.
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.
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.
The uneven mapping of COVID-19 and its relationship with MHDI in Ceará can contribute to actions to regional combat the pandemic.
分析塞阿拉州各市新冠病毒病（COVID-19）发病率的空间分布及其与各市人类发展指数（MHDI）的相关性。
这是一项生态研究，使用各市的人类发展指数和COVID-19发病率系数作为变量，从2020年第15个和第19个流行病学周恢复数据。使用TerraView和GeoDa软件分析单变量空间相关性和双变量空间相关性。
COVID-19的发病率具有空间依赖性，呈中度正相关，在福塔莱萨大都市区和北部地区的各市形成高高聚集区。发病率最低的是南部和西部地区的低低聚集区。人类发展指数与COVID-19发病率之间存在正双变量相关性，在福塔莱萨大都市区形成一个聚集区。
塞阿拉州COVID-19的不均衡分布图及其与人类发展指数的关系有助于采取区域抗疫行动。
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