基于循环扫描方法的巴西COVID-19聚集性发病率和致死率

Henrique J. P. Alves, F. A. Fernandes, Kelly Pereira de Lima, Ben Dêivide de Oliveira Batista, T. J. Fernandes
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引用次数: 0

摘要

COVID-19大流行以可怕的方式在全球迅速蔓延。巴西是该病感染和死亡人数第三多的国家,政府卫生当局必须确定在该病病例和死亡人数中突出的联邦单位,以便将资源用于目标。马丁·库多夫(Martin Kulldorff)提出的循环扫描统计数据可以确定联合会在巴西COVID-19病例和死亡人数方面表现突出的单位,并具有一定的统计意义。这样的联邦单位被称为集群。一旦确定了这些聚集性,我们就使用发病率和致死率系数来更好地描述这些聚集性在大流行的三个阶段的行为:初始阶段、高峰阶段以及稳定和下降阶段。我们观察了在这三个阶段确定的群集位置的变化,并使用R软件和SaTScan软件获得了与巴西媒体报道一致的地图和结果。
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INCIDENCE AND LETHALITY OF COVID-19 CLUSTERS IN BRAZIL VIA CIRCULAR SCAN METHOD
The COVID-19 pandemic has spread rapidly around the world in a frightening way. In Brazil, the third country with the highest number of infected and deaths from the disease, it is important for government health authorities to identify the federation units that stand out in cases and deaths from this disease to target resources. The circular scan statistic proposed by Martin Kulldorff allows to identify with some statistical significance the units of the federation that stand out in relation to the number of cases and deaths of COVID-19 in Brazil. Such units of federation are known as clusters. Once these clusters were identified, we used the coefficients of incidence and lethality to better describe the behavior of these clusters during three phases of the pandemic: the initial phase, the peak phase, and also the stability and fall phase. We observed changes in the location of the clusters identified in these three phases and used the R software and also the SaTScan software to obtain the maps and results, which were consistent with what was reported by the Brazilian media.
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来源期刊
Revista Brasileira de Biometria
Revista Brasileira de Biometria Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
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审稿时长
53 weeks
期刊最新文献
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