省政策对新冠肺炎死亡率的影响:哈马丹省的风险分析研究

Roya Ahmaddoost-rozdari, H. Mahjub, J. Poorolajal, A. Soltanian
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引用次数: 0

摘要

背景:各国政府采取不同的政策和战略来控制和降低新冠肺炎的死亡率。为了调查所采取的政策对降低该疾病造成的死亡率的影响,对哈梅丹省新冠肺炎疫情控制地区总部实施的政策进行了评估。材料和方法:所需信息来自哈马丹医科大学卫生副校长和哈马丹省新冠肺炎疫情控制总部会议记录。获得的所有信息的日期均为2021年4月至8月。GeNIe软件2.2版中使用了贝叶斯网络模型来分析信息。结果:在本研究中,使用了七个模型来评估所采取策略的影响。第一个模型包括保持社交距离,包括旅行限制和限制聚会,通过实施该模型,死亡率估计达到4.72%。第二种模式包括遵守个人卫生、戴口罩和接种疫苗,到实施时,死亡率估计达到4.92%。第三种模式包括旅行限制和企业关闭,实施后死亡率达到6.41%。模型4、5和6是第一、第二和第三个模型的组合,估计死亡率分别达到1.95%、2.77%和2.26%。此外,结合上述条件的模型7使死亡率达到2.35%。在本研究中,模型6被选为最合适的模型,有五种政策,RMES=0.03005。结论:根据本研究获得的结果,同时实施旅行限制、停业、个人卫生、戴口罩和接种疫苗等五项政策,可以大大降低死亡风险。©2022,布什尔医学科学大学。保留所有权利。
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The Effect of Provincial Policies on the COVID-19 Mortality Rate: Risk Analysis Study in Hamadan Province
Background: Governments adopt different policies and strategies to control and reduce the mortality rate of COVID-19. In order to investigate the effect of the adopted policies on the reduction of mortality caused by this disease, the policies implemented by the Regional Headquarter for the Control of COVID-19 Epidemic in Hamedan Province were evaluated. Materials and Methods: The required information was obtained from the Vice-Chancellor of Health of Hamadan University of Medical Sciences and the minutes of the meetings of the Headquarter for the Control of COVID-19 Epidemic in Hamadan Governorate. All the information obtained dates to the period from April to August 2021. A Bayesian network model was used in GeNIe software version 2.2 for the analysis of the information. Results: In this study, seven models were used to evaluate the impact of the adopted strategies. The first model included social distancing, including travel restriction and limiting gatherings, and the mortality rate was estimated to reach 4.72% by implementing the model. The second model includes observing personal hygiene, wearing masks, and vaccination, and the mortality rate was estimated to reach 4.92% by its implementation. The third model encompassed both travel restrictions and business closures, and the mortality rate reached 6.41% after its implementation. Models 4, 5, and 6, which are a combination of the first, second, and third models, have estimated the mortality rate to reach 1.95%, 2.77%, and 2.26%, respectively. In addition, model 7, which combines the above conditions, made the mortality rate reach 2.35%. In the present study, model 6 was selected as the most suitable model with five policies and RMES=0.03005. Conclusion: According to the results obtained in this study, the simultaneous implementation of five policies, including travel restrictions, business closures, personal hygiene, wearing masks and vaccination, can greatly reduce the risk of mortality. © 2022, Bushehr University of Medical Sciences. All rights reserved.
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