International comparisons of COVID-19 pandemic management: What can be learned from

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE(2024)

引用 0|浏览2
暂无评分
摘要
The global spread of COVID-19 since early 2020 has resulted in significant humanitarian costs. The pandemic has affected most countries to varying degrees, and governments have implemented diverse policies to minimise the impact on public health. However, these policies have varied across regions and even within countries. This study proposes a nonparametric activity analysis methodology to assess how different countries have managed the pandemic. Specifically, we assess the effectiveness of 61 countries nine months into the pandemic using a robust directional Benefit of Doubt (BoD) model according to expert opinion and conditional on country contextual factors. We then estimate the marginal impact of structural and discretionary contextual variables on effectiveness using nonparametric regression analysis, which shows that effectiveness is strongly influenced by socioeconomic and cultural factors. The results reveal three main groups of countries according to their level of effectiveness in pandemic management, suggesting that an accurate assessment of countries' management of the pandemic benefits greatly from operations research methods, as we obtain benchmarks and find out how these benchmarks (or best practices) vary when contextual factors are included in the analysis.
更多
查看译文
关键词
Data envelopment analysis,COVID-19,Composite indicators,Assurance region,Robust conditional convex frontier models
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要