摘要
目的识别影响疫情防控的关键要素和路径组合,探求影响各国防控差异的机制,为疫情常态化防控提供理论指导。方法运用清晰集定性比较分析(csQCA)方法,以世界22个典型国家为案例对象,主要从Our World in Data网站获取新冠疫情相关数据,对案例各条件变量及其非集进行必要性分析,对条件组态进行充分性分析。结果必要性检验一致性水平均低于0.9;输出5种组态,且单个解(组态)和总体解的一致性均为1,实现了完全一致性。结论单个要素影响力较弱;国家低确诊人数存在5条驱动路径,可归纳为资源丰富-弱疫苗型、信任驱动-强疫苗型、经济发达-地理优势型3种模式;较高的人均GDP、人均床位数和信任度是影响新冠确诊人数的核心要素。
Objective To identify the key factors and path combinations affecting epidemic prevention and control,and explore the mechanisms influencing the differences among countries in epidemic prevention and control,so as to provide theoretical guidance for the normal epidemic prevention and control.Methods Clear set qualitative comparative analysis(csQCA)was used to analyze the necessity of each conditional variable and its non-set of 22 typical countries in the world,and to analyze the adequacy of conditional configuration.Results The consistency level of necessity test was lower than 0.9.Output contained 5 configurations,and the consistency of the single solution(configuration)and the overall solution was 1,achieving complete consistency.Conclusion The influence of single factor is weak;There are five driving pathways for the low number of confirmed cases in a country,which can be divided into three modes:resource-rich-weak vaccine type,trust-driven-strong vaccine type,and economically developed-geographical advantage type.High GDP per capita,number of beds per capita and trust are the key factors influencing the number of COVID-19 cases.
作者
李万鹏
尹文强
翟亚
亓霏
杨春晓
李秋莎
黄冬梅
LI Wan-peng;YIN Wen-qiang;ZHAI Ya;QI Fei;YANG Chun-xiao;LI Qiu-sha;HUANG Dong-mei(School of Management,Weifang Medical University,Weifang,Shandong 261053,China;不详)
出处
《现代预防医学》
CAS
北大核心
2022年第17期3222-3227,3233,共7页
Modern Preventive Medicine
基金
国家自然科学基金项目(71573191)。
关键词
疫情防控
国际比较
定性比较分析
Epidemic prevention and control
International comparison
Qualitative comparative analysis
作者简介
李万鹏(1996-),男,硕士在读,研究方向:卫生管理与政策研究;通讯作者:黄冬梅,E-mail:hdongm@126.com。
