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Regionalizing Partitioning Africa’s Coronavirus (COVID-19) Fatalities Using Environmental Factors and Underlying Health Conditions for Social-economic Impacts

机译:利用环境因素和潜在健康状况对非洲冠状病毒(COVID-19)死亡进行分区和分类,以产生社会经济影响

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The COVID-19 event was unexpected and has had shocking impacts such as widespread economic losses and tens of thousands of deaths. The COVID-19 infection rate is relatively low in Africa compared to other continents, but the number of cases is rising. As of July 12, 2020, in Africa, there are a total of 13,194 deaths and 591,153 reported cases. The dynamics of this pandemic spread are relatively unknown; however, previous studies have established a relationship between poor air quality standards due to nitrogen dioxide (NO2) and fine particulate matter (PM2.5) and COVID-19 deaths and cases. Meanwhile, other studies have linked preexisting health conditions from cardiovascular diseases with COVID-19 fatalities. However, none of these studies have examined these indicators from socio-economic and strategic planning perspectives. The primary aim of this paper is to combine and cluster these two air qualities indicators, preexisting heart conditions due to morbidity and mortality from cardiovascular disease (MMDC), the probability from dying from four main (cardiovascular diseases, cancer, chronic respiratory diseases, and diabetes) non-communicable diseases (NCDs) using a self-organizing map (SOM) and the hierarchical clustering method (HCM). Using SOM and HCM, all the variables mentioned above were partitioned into five clusters that did not follow the geographical boundaries of five regions in Africa. The results show that the countries with the highest COVID-19 deaths and cases as of 12 July 2020 are Egypt (3769 and 81,158) and South Africa (3971 and 264,184). The SOM technique was successfully used to combine these two countries into a single cluster. Notably, these two countries also have high rates of pre-existing health conditions (MMDC, NCDs), poor air quality indicators (NO2 and PM2.5) and pollution levels. Since no single country can manage this pandemic alone, a concerted effort is needed to mitigate and combat this virus. Therefore, relating these indicators together at the continental level would help improve state-of-the-art planning and management of the COVID-19 pandemic in Africa.
机译:COVID-19事件出乎意料,并产生了令人震惊的影响,例如广泛的经济损失和成千上万人的死亡。与其他大陆相比,非洲的COVID-19感染率相对较低,但病例数正在上升。截至2020年7月12日,在非洲,共有13194例死亡和591153例报告病例。这种大流行传播的动态性相对未知。但是,先前的研究已经建立了由于二氧化氮(NO 2 )以及细颗粒物(PM2.5)和COVID-19的死亡和病例。同时,其他研究将心血管疾病的既往健康状况与COVID-19死亡联系在一起。但是,这些研究都没有从社会经济和战略规划的角度研究这些指标。本文的主要目的是将这两种空气质量指标进行合并和聚类,这些指标是由于心血管疾病(MMDC)的发病率和死亡率而导致的预先存在的心脏病,以及死于四种主要疾病(心血管疾病,癌症,慢性呼吸道疾病和糖尿病)非传染性疾病(NCD),使用自组织图(SOM)和分层聚类方法(HCM)。使用SOM和HCM,将上面提到的所有变量分为五个集群,这些集群不遵循非洲五个地区的地理边界。结果显示,截至2020年7月12日,COVID-19死亡和病例最高的国家是埃及(3769和81,158)和南非(3971和264,184)。 SOM技术已成功用于将这两个国家合并为一个集群。值得注意的是,这两个国家的既有健康状况(MMDC,NCD)比率很高,空气质量指标(NO2和PM2.5)差,污染水平高。由于没有一个国家可以单独控制这种大流行,因此需要共同努力来减轻和抵抗这种病毒。因此,将这些指标在大陆一级结合在一起将有助于改善非洲COVID-19大流行的最新规划和管理。

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