Suppr超能文献

机构-社会-生态因素与新冠病毒病病死率之间的关联:来自134个国家的多尺度地理加权回归(MGWR)证据

Associations between institutional-social-ecological factors and COVID -19 case-fatality: Evidence from 134 countries using multiscale geographically weighted regression (MGWR).

作者信息

Shi Xuerui, Ling Gabriel Hoh Teck, Leng Pau Chung, Rusli Noradila, Matusin Ak Mohd Rafiq Ak

机构信息

Department of Urban and Regional Planning, Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.

Department of Architecture, Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.

出版信息

One Health. 2023 Jun;16:100551. doi: 10.1016/j.onehlt.2023.100551. Epub 2023 Apr 28.

Abstract

During the period in which the Omicron coronavirus variant was rapidly spreading, the impact of the institutional-social-ecological dimensions on the case-fatality rate was rarely afforded attention. By adopting the diagnostic social-ecological system (SES) framework, the present paper aims to identify the impact of institutional-social-ecological factors on the case-fatality rate of COVID-19 in 134 countries and regions and test their spatial heterogeneity. Using statistical data from the Our World In Data website, the present study collected the cumulative case-fatality rate from 9 November 2021 to 23 June 2022, along with 11 country-level institutional-social-ecological factors. By comparing the goodness of fit of the multiple linear regression model and the multiscale geographically weighted regression (MGWR) model, the study demonstrated that the effects of SES factors exhibit significant spatial heterogeneity in relation to the case-fatality rate of COVID-19. After substituting the data into the MGWR model, six SES factors were identified with an R square of 0.470 based on the ascending effect size: COVID-19 vaccination policy, age dependency ratio, press freedom, gross domestic product (GDP), COVID-19 testing policy, and population density. The GWR model was used to test and confirm the robustness of the research results. Based on the analysis results, it is suggested that the world needs to meet four conditions to restore normal economic activity in the wake of the COVID-19 pandemic: (i) Countries should increase their COVID-19 vaccination coverage and maximize COVID-19 testing expansion. (ii) Countries should increase public health facilities available to provide COVID-19 treatment and subsidize the medical costs of COVID-19 patients. (iii) Countries should strictly review COVID-19 news reports and actively publicize COVID-19 pandemic prevention knowledge to the public through a range of media. (iv) Countries should adopt an internationalist spirit of cooperation and help each other to navigate the COVID-19 pandemic. The study further tests the applicability of the SES framework to the field of COVID-19 prevention and control based on the existing research, offering novel policy insights to cope with the COVID-19 pandemic that coexists with long-term human production and life for a long time.

摘要

在奥密克戎新冠病毒变种迅速传播期间,制度 - 社会 - 生态维度对病死率的影响很少受到关注。本文采用诊断性社会 - 生态系统(SES)框架,旨在确定制度 - 社会 - 生态因素对134个国家和地区新冠病毒病病死率的影响,并检验其空间异质性。本研究利用“Our World In Data”网站的统计数据,收集了2021年11月9日至2022年6月23日的累计病死率,以及11个国家层面的制度 - 社会 - 生态因素。通过比较多元线性回归模型和多尺度地理加权回归(MGWR)模型的拟合优度,研究表明,SES因素对新冠病毒病病死率的影响呈现出显著的空间异质性。将数据代入MGWR模型后,根据效应大小升序排列,确定了六个SES因素,决定系数R平方为0.470:新冠病毒病疫苗接种政策、老少比、新闻自由度、国内生产总值(GDP)、新冠病毒病检测政策和人口密度。使用地理加权回归(GWR)模型对研究结果的稳健性进行了检验和确认。基于分析结果,建议全球在新冠疫情之后恢复正常经济活动需要满足四个条件:(i)各国应提高新冠病毒病疫苗接种覆盖率,并最大限度地扩大新冠病毒病检测范围。(ii)各国应增加可用的公共卫生设施以提供新冠病毒病治疗,并补贴新冠病毒病患者的医疗费用。(iii)各国应严格审查新冠病毒病新闻报道,并通过多种媒体积极向公众宣传新冠疫情防控知识。(iv)各国应秉持国际主义合作精神,相互帮助以应对新冠疫情。本研究在现有研究基础上进一步检验了SES框架在新冠疫情防控领域的适用性,为应对与人类长期生产生活长期共存的新冠疫情提供了新的政策见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/330f/10288078/eaac6b7cb5b0/gr1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验