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Assessment of Epidemiological Determinants of COVID-19 Pandemic Related to Social and Economic Factors Globally

机译:基于全球社会和经济因素的Covid-19流行病流行病学决定因素的评估

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The COVID-19 pandemic has manifested more than a health crisis and has severelyimpacted on social, economic, and development crises in the world. The relationship of COVID-19with countries’ economic and other demographic statuses is an important criterion with which toassess the impact of this current outbreak. Based on available data from the online platform, we testedthe hypotheses of a country’s economic status, population density, the median age of the population,and urbanization pattern influence on the test, attack, case fatality, and recovery rates of COVID-19.We performed correlation and multivariate multinomial regression analysis with relative risk ratio(RRR) to test the hypotheses. The correlation analysis showed that population density and testrate had a significantly negative association (r = ? 0.2384, p = 0.00). In contrast, the median agehad a significant positive correlation with recovery rate (r = 0.4654, p = 0.00) and case fatality rate( r = 0.2847 , p = 0.00). The urban population rate had a positive significant correlation with recoveryrate (r = 0.1610, p = 0.04). Lower-middle-income countries had a negative significant correlation withcase fatality rate (r= ? 0.3310, p = 0.04). The multivariate multinomial logistic regression analysisrevealed that low-income countries are more likely to have an increased risk of case fatality rate( RRR = 0.986 , 95% Confidence Interval; CI = 0.97 ? 1.00, p < 0.05) and recovery rate (RRR = 0.967,95% CI = 0.95–0.98, p = 0.00). The lower-income countries are more likely to have a higher riskin case of attack rate (RRR = 0.981, 95% CI = 0.97–0.99, p = 0.00) and recovery rate (RRR = 0.971,95% CI = 0.96–0.98 , p = 0.00). Similarly, upper middle-income countries are more likely to have higherrisk in case of attack rate (RRR = 0.988, 95% CI = 0.98–1.0, p = 0.01) and recovery rate (RRR = 0.978, 95%CI = 0.97–0.99 , p = 0.00). The low- and lower-middle-income countries should invest more in healthcare services and implement adequate COVID-19 preventive measures to reduce the risk burden.We recommend a participatory, whole-of-government and whole-of-society approach for respondingto the socio-economic challenges of COVID-19 and ensuring more resilient and robust health systemsto safeguard against preventable deaths and poverty by improving public health outcomes.
机译:Covid-19大流行表现出了不仅仅是健康危机,并严重影响了世界上的社会,经济和发展危机。 Covid-19 With国家的经济和其他人口统计学的关系是一个重要标准,在这种情况下托管这一当前爆发的影响。根据在线平台的可用数据,我们测试了一个国家的经济状况,人口密度,人口中位数,人口中位数,以及城市化模式对Covid-19的测试,攻击,病例和恢复率的影响。我们用相对风险比(RRR)进行相关性和多变量多元回归分析来测试假设。相关分析表明,人群密度和抗蒸碱具有显着负关联(R = 0.2384,P = 0.00)。相比之下,中位年龄与回收率的显着正相关(r = 0.4654,p = 0.00)和病例死亡率(r = 0.2847,p = 0.00)。城市人口率与回析酸盐有正显着相关性(r = 0.1610,p = 0.04)。中等收入国家对留下死亡率的负面关联(R = 0.3310,P = 0.04)。多变量多元逻辑回归分析,低收入国家更有可能增加病例死亡率的风险增加(RRR = 0.986,95%置信区间; CI = 0.97?1.00,P <0.05)和回收率(RRR = 0.967 ,95%CI = 0.95-0.98,p = 0.00)。较低收入国家更有可能具有攻击率的风险率更高(RRR = 0.981,95%CI = 0.97-0.99,P = 0.00)和恢复率(RRR = 0.971,95%CI = 0.96-0.98, p = 0.00)。同样,在攻击率的情况下,上部收入国家更有可能具有高度高度(RRR = 0.988,95%CI = 0.98-1.0,P = 0.01)和恢复率(RRR = 0.978,95%CI = 0.97-0.99 ,p = 0.00)。低中低收入国家应投入更多的医疗保健服务,实施充足的Covid-19预防措施,以降低风险负担。我们推荐了一个参与式,全国和全部社会的作品来应对Covid-19的社会经济挑战,通过改善公共卫生结果,确保更具弹性和强大的健康体系抵御可预防死亡和贫困的保障。

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