Prioritizing Indicators for Rapid Response in Global Health Security:A Bayesian Network Approach

作     者：Abroon Qazi Mecit Can Emre Simsekler M.K.S.Al‑Mhdawi Abroon Qazi;Mecit Can Emre Simsekler;M.K.S.Al-Mhdawi

作者机构：School of Business AdministrationAmerican University of SharjahSharjah 26666UAE Department of Management Science and EngineeringKhalifa University of Science&TechnologyAbu Dhabi 127788UAE School of ComputingEngineering&Digital TechnologiesTeesside UniversityMiddlesbrough TS13BXUK 

出 版 物：《International Journal of Disaster Risk Science》 (国际灾害风险科学学报（英文版）)

年 卷 期：2024年第15卷第4期

页      面：536-551页

核心收录：

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 100401[医学-流行病与卫生统计学] 070103[理学-概率论与数理统计] 0701[理学-数学] 10[医学] 

基　　金：supported in part by the Faculty Research Grant(FRG23-E-B91)from the American University of Sharjah 

主　　题：Bayesian belief networks Global health security Indicators Mitigation Policy implications Rapid response 

摘      要：This study explored a Bayesian belief networks(BBNs)approach,developing two distinct models for prioritizing the seven indicators related to the“rapid response to and mitigation of the spread of an epidemiccategory within the context of both the specifc category and the Global Health Security Index(GHS index).Utilizing data from the 2021 GHS index,the methodology involves rigorous preprocessing,the application of the augmented naive Bayes algorithm for structural learning,and k-fold *** fndings show unique perspectives in both BBN *** the mutual value of information analysis,“linking public health and security authoritiesemerged as the key predictor for the“rapid response to and mitigation of the spread of an epidemiccategory,while“emergency preparedness and response planningassumed precedence for the GHS *** analysis highlighted the critical role of“emergency preparedness and response planningand“linking public health and security authoritiesin extreme performance states,with“access to communications infrastructureand“trade and travel restrictionsexhibiting varied *** BBN models exhibit high predictive accuracy,achieving 83.3%and 82.3%accuracy for extreme states in“rapid response to and mitigation of the spread of an epidemicand the GHS index,*** study contributes to the literature on GHS by modeling the dependencies among various indicators of the rapid response dimension of the GHS index and highlighting their relative importance based on the mutual value of information and sensitivity analyses.