Biotechnology and Genetic Engineering Discipline, Khulna University, Khulna, Bangladesh.
Bangladesh Institute of Health Sciences General Hospital, Dhaka, Bangladesh.
Front Public Health. 2020 Nov 5;8:566114. doi: 10.3389/fpubh.2020.566114. eCollection 2020.
Throughout history, the human race has often faced pandemics with substantial numbers of fatalities. As the COVID-19 pandemic has now affected the whole planet, even countries with moderate to strong healthcare support and expenditure have struggled to contain disease transmission and casualties. Countries affected by COVID-19 have different demographics, socioeconomic, and lifestyle health indicators. In this context, it is important to find out to what extent these parametric variations are modulating disease outcomes. To answer this, this study selected demographic, socioeconomic, and health indicators e.g., population density, percentage of the urban population, median age, health expenditure per capita, obesity, diabetes prevalence, alcohol intake, tobacco use, case fatality of non-communicable diseases (NCDs) as independent variables. Countries were grouped according to these variables and influence on dependent variables e.g., COVID-19 positive tests, case fatality, and case recovery rates were statistically analyzed. The results suggested that countries with variable median age had a significantly different outcome on positive test rate ( < 0.01). Both the median age ( = 0.0397) and health expenditure per capita ( = 0.0041) showed a positive relation with case recovery. An increasing number of tests per 100 K of the population showed a positive and negative relationship with the number of positives per 100 K population ( = 0.0001) and the percentage of positive tests ( < 0.0001), respectively. Alcohol intake per capita in liter ( = 0.0046), diabetes prevalence ( = 0.0389), and NCDs mortalities ( = 0.0477) also showed a statistical relation to the case fatality rate. Further analysis revealed that countries with high healthcare expenditure along with high median age and increased urban population showed more case fatality but also had a better recovery rate. Investment in the health sector alone is insufficient in controlling the severity of the pandemic. Intelligent and sustainable healthcare both in urban and rural settings and healthy lifestyle acquired immunity may reduce disease transmission and comorbidity induced fatalities, respectively.
纵观历史,人类经常面临着大量死亡的大流行病。由于 COVID-19 大流行现在已经影响到整个地球,即使是医疗保健支持和支出中等或较强的国家也难以控制疾病传播和伤亡人数。受 COVID-19 影响的国家具有不同的人口统计学、社会经济和生活方式健康指标。在这种情况下,重要的是要了解这些参数变化在多大程度上调节疾病结果。为了回答这个问题,本研究选择了人口统计学、社会经济和健康指标,例如人口密度、城市人口比例、中位数年龄、人均医疗保健支出、肥胖、糖尿病患病率、酒精摄入量、烟草使用、非传染性疾病(NCDs)的病死率作为自变量。根据这些变量和对因变量的影响,将国家进行分组,例如 COVID-19 阳性检测、病死率和病例恢复率进行统计分析。结果表明,中位数年龄不同的国家在阳性检测率上有显著差异(<0.01)。中位数年龄(=0.0397)和人均医疗保健支出(=0.0041)与病例恢复均呈正相关。每 10 万人口的检测数量增加与每 10 万人口阳性数量(=0.0001)和阳性检测百分比(<0.0001)呈正相关,与负相关。人均酒精摄入量(=0.0046)、糖尿病患病率(=0.0389)和 NCDs 死亡率(=0.0477)与病死率也呈统计学关系。进一步分析表明,医疗保健支出高、中位数年龄高、城市人口增加的国家病死率较高,但恢复率也较高。仅在卫生部门投资不足以控制大流行的严重程度。城市和农村地区的智能和可持续医疗保健以及健康的生活方式获得的免疫力可以分别降低疾病传播和合并症引起的死亡率。