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

A. Boluwade
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引用次数: 2

Abstract

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.
利用环境因素和潜在健康状况对非洲冠状病毒(COVID-19)死亡人数进行社会经济影响的区域化和分区
2019冠状病毒病事件出人意料,造成了广泛的经济损失和数万人死亡等令人震惊的影响。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,非洲共有13194人死亡,591153例报告病例。这次大流行传播的动态相对未知;然而,之前的研究已经确定了二氧化氮(NO2)和细颗粒物(PM2.5)导致的空气质量差与COVID-19死亡和病例之间的关系。与此同时,其他研究将心血管疾病导致的既往健康状况与COVID-19死亡联系起来。但是,这些研究都没有从社会经济和战略规划的角度审查这些指标。本文的主要目的是使用自组织图(SOM)和分层聚类方法(HCM)结合和聚类这两个空气质量指标,由于心血管疾病(MMDC)的发病率和死亡率而预先存在的心脏状况,死于四种主要(心血管疾病,癌症,慢性呼吸系统疾病和糖尿病)非传染性疾病(ncd)的概率。利用SOM和HCM,将上述所有变量划分为五个不遵循非洲五个区域地理边界的聚类。结果显示,截至2020年7月12日,COVID-19死亡和病例最多的国家是埃及(3769人和81158人)和南非(3971人和264184人)。SOM技术成功地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问题(MMDC和非传染性疾病)发生率也很高,空气质量指标(二氧化氮和PM2.5)和污染水平也很差。由于没有任何一个国家能够单独应对这一大流行,因此需要采取协调一致的努力来减轻和抗击这一病毒。因此,在大陆一级将这些指标联系在一起将有助于改善非洲COVID-19大流行的最先进规划和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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