A Non-Linear Biostatistical Graphical Modeling of Preventive Actions and Healthcare Factors in Controlling COVID-19 Pandemic.

A Non-Linear Biostatistical Graphical Modeling of Preventive Actions and Healthcare Factors in Controlling COVID-19 Pandemic.
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DOI:
10.3390/ijerph18094491
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发表时间:
2021-04-23
影响因子:
--
通讯作者:
Rahman A
Rahman A
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Abdulla F;Nain Z;Karimuzzaman M;Hossain MM;Rahman A

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背景:随着COVID-19大流行的爆发,过去几个月有许多人死亡,这种情况仍在继续,卫生、社会和经济恐慌和脆弱性日益加剧。由于大多数国家依靠不同的预防行动来控制COVID-19的结果,因此有必要提高对此类行动有效性的认识,以便政策制定者采取基于本国的适当行动。本研究为采取最有影响力的行动抗击COVID-19提供了证据。目的:本研究分析了不同控制措施、医疗设施、预期寿命和流行疾病对COVID-19结果的影响,以提供基于社区的科学证据。方法:使用从不同数据库收集的100多个国家的数据。我们使用r进行了非线性相关估计的比较图形分析。结果:COVID-19病例的减少与预防开始的早期程度密切相关。在全国范围内采取紧急预防措施的冷漠已被确定为使情况恶化的关键原因之一。COVID-19病死率与医生人数(NCC = 0.22, p值≤0.001)、护士和助产士人数(NCC = 0.17, p值≤0.001)、医院床位人数(NCC = 0.20, p值≤0.001)、两性预期寿命(NCC = 0.22, p值≤0.001)、女性预期寿命(NCC = 0.27, p值≤0.001)、男性预期寿命(NCC = 0.19, p值≤0.001)存在显著的非线性关系。随着医护人员和病床的增加,新冠肺炎死亡人数有所减少。有趣的是,除哮喘、癌症、阿尔茨海默病和吸烟外,没有发现COVID-19合并症和严重程度之间的关联。结论:加强卫生设施建设,及早实施防控措施,对预防新冠肺炎大流行具有重要意义。COVID-19与其他合并症之间没有关联,无需在病理生物学水平上进一步调查。
Background: With the insurgence of the COVID-19 pandemic, many people died in the past several months, and the situation is ongoing with increasing health, social, and economic panic and vulnerability. As most of the countries relying on different preventive actions to control the outcomes of COVID-19, it is necessary to boost the knowledge about the effectiveness of such actions so that the policymakers take their country-based appropriate actions. This study generates evidence of taking the most impactful actions to combat COVID-19. Objective: In order to generate community-based scientific evidence, this study analyzed the outcome of COVID-19 in response to different control measures, healthcare facilities, life expectancy, and prevalent diseases. Methods: It used more than a hundred countries’ data collected from different databases. We performed a comparative graphical analysis with non-linear correlation estimation using R. Results: The reduction of COVID-19 cases is strongly correlated with the earliness of preventive initiation. The apathy of taking nationwide immediate precaution measures has been identified as one of the critical reasons to make the circumstances worse. There is significant non-linear relationship between COVID-19 case fatality and number of physicians (NCC = 0.22; p-value ≤ 0.001), nurses and midwives (NCC = 0.17; p-value ≤ 0.001), hospital beds (NCC = 0.20; p-value ≤ 0.001), life expectancy of both sexes (NCC = 0.22; p-value ≤ 0.001), life expectancy of female (NCC = 0.27; p-value ≤ 0.001), and life expectancy of male (NCC = 0.19; p-value ≤ 0.001). COVID-19 deaths were found to be reduced with increased medical personnel and hospital beds. Interestingly, no association between the comorbidities and severity of COVID-19 was found excluding asthma, cancer, Alzheimer’s, and smoking. Conclusions: Enhancing healthcare facilities and early imposing the control measures could be valuable to prevent the COVID-19 pandemic. No association between COVID-19 and other comorbidities warranted further investigation at the pathobiological level.
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