Prioritization of Self-care Indicators in the Prevention and Control of Covid Disease (COVID-19) based on Entropy and TOPSIS Algorithms (Case Study: Ardabil Province)

Z. Khalili, F. Gholipour, M. Salimi, P. Maleki Galandouz, I. Khosravi
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Abstract

Background & objectives: The rapid spread of COVID-19 has recently become a worldwide health challenge. Coping with the highly contagious outbreak of COVID-19 requires preventive measures and self-care behaviors in the first instance. To this end, the use of techniques and methods of coping, disease prevention as well as management, lifestyle, education and use of health items and providing self-care instructions can prevent further spread of the disease. The aim of this study was to determine the prioritization of self-care indicators in the prevention of Covid-19 in Ardabil province, which is one of the foci of this disease. Methods: This descriptive-field survey was conducted from the beginning of Covid-19 outbreak (March 1998 to January 1999). The sample size consisted of 120 people who were selected using the available snowball sampling method. Data analysis was performed using TOPSIS analysis software and formulation in Excel software based on weighting with entropy algorithm and prioritization with TOPSIS algorithm. Results: The results of this study showed the Sub-indics of increasing awareness of people about the prevalence of infection with proximity with coefficient (CLi +) of 0.8673, washing hands with soap and water or disinfecting with alcohol-based solution with proximity coefficient (CLi +) of 0.9391, electronicization of most activities Employees' work with a coefficient of closeness (CLi +) of 0.8687, observing a safe distance (1.5 meters) from people who cough and sneeze with a coefficient of closeness (CLi +) of 0.8277, avoiding any gatherings with a coefficient of closeness (CLi +) 0.9276, as the most important indicators among self-care methods in Ardabil province . Conclusion: This study was a proposed method to assist health care providers in making decisions and selecting the COVID-19 self-care model in Ardabil province.
基于熵和TOPSIS算法的新冠肺炎防控自我保健指标排序研究(以阿达比尔省为例)
背景与目的:最近,COVID-19的快速传播已成为一项全球性的卫生挑战。应对高传染性新冠肺炎疫情,首先要做好预防工作,做好自我护理。为此目的,采用应对、疾病预防和管理、生活方式、教育和使用保健用品以及提供自我保健指导的技术和方法可以防止疾病的进一步传播。本研究的目的是确定阿尔达比尔省预防Covid-19的自我保健指标的优先顺序,该省是该疾病的重点之一。方法:1998年3月至1999年1月,采用描述性现场调查方法。样本量由120人组成,他们是使用可用的雪球抽样方法选择的。采用TOPSIS分析软件进行数据分析,并在Excel软件中进行公式编制,采用熵权算法进行加权,TOPSIS算法进行优先级排序。结果:结果表明:提高人们对传染病流行的认识程度的接近系数(CLi +)为0.8673,用肥皂和水洗手或用酒精溶液消毒的接近系数(CLi +)为0.9391,员工工作的大部分活动的电子化程度的接近系数(CLi +)为0.8687。与咳嗽、打喷嚏的人保持安全距离(1.5米),亲密系数(CLi +)为0.8277,避免任何聚会,亲密系数(CLi +) 0.9276,是阿尔达比尔省自我保健方法中最重要的指标。结论:本研究为帮助阿达比尔省卫生保健提供者决策和选择COVID-19自我保健模式提供了一种建议方法。
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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