Improving Resilience Models of Health Systems before COVID-19 Pandemic in Côte d’Ivoire

作     者：Gérard B. N’Guessan Ida Brou Assie Jean S. Inkpé Haudie Gérard B. N’Guessan;Ida Brou Assie;Jean S. Inkpé Haudie

作者机构：Research and Digital Expertise Unit (UREN) Virtual University of Côte d’Ivoire (UVCI) Abidjan Ivory Coast Félix Houphouët-Boigny University Abidjan Ivory Coast 

出 版 物：《Journal of Computer and Communications》 (电脑和通信（英文）)

年 卷 期：2023年第11卷第2期

页      面：1-7页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Resilience Corona Virus Bayesian Network Neural Network 

摘      要：The resilience of health systems is a major issue and challenge in patients’ safety. This security refers to the ability to adapt, approach, anticipate or change after a shock. These shocks generally concern large-scale situations such as the COVID-19 pandemic. To cope with these shocks, certain risk management tools have appeared in healthcare centres. Among these new tools are those called “resilience engineering. However, failure to master some of them sometimes generates erroneous results that lead to even more serious consequences in decision-making. This article proposes an Ivorian resilience model for managing the coronavirus pandemic. The model is the combination of Bayesian and neural techniques with multilayer perceptron in order to best assist Ivorian specialists in their decision-making.