COVID-19 and Rumors: A Dynamic Nested Optimal Control Model

被引：7
|
作者：
Hezam, Ibrahim M. [1 ]
Almshnanah, Abdulkarem [2 ]
Mubarak, Ahmed A. [3 ]
Das, Amrit [4 ,5 ]
Foul, Abdelaziz [1 ]
Alrasheedi, Adel Fahad [1 ]
机构：
[1] King Saud Univ, Coll Sci, Stat & Operat Res Dept, Riyadh, Saudi Arabia
[2] Jordan Univ Sci & Technol, Comp & Informat Technol, Irbid, Jordan
[3] Shaanxi Normal Univ, Sch Comp & Sci, Xian 710119, Peoples R China
[4] Vellore Inst Technol, Sch Adv Sci, Chennai, India
[5] Pusan Natl Univ, Dept Ind Engn, Pusan 46241, South Korea
来源：
PATTERN RECOGNITION | 2023年 / 135卷
关键词：
COVID-19; genetic algorithm; KKT; nested optimal control; rumors;
D O I：
10.1016/j.patcog.2022.109186
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Unfortunately, the COVID-19 outbreak has been accompanied by the spread of rumors and depressing news. Herein, we develop a dynamic nested optimal control model of COVID-19 and its rumor outbreaks. The model aims to curb the epidemics by reducing the number of individuals infected with COVID-19 and reducing the number of rumor-spreaders while minimizing the cost associated with the control interven-tions. We use the modified approximation Karush-Kuhn-Tucker conditions with the Hamiltonian function to simplify the model before solving it using a genetic algorithm. The present model highlights three pre-vention measures that affect COVID-19 and its rumor outbreaks. One represents the interventions to curb the COVID-19 pandemic. The other two represent interventions to increase awareness, disseminate the correct information, and impose penalties on the spreaders of false rumors. The results emphasize the importance of interventions in curbing the spread of the COVID-19 pandemic and its associated rumor problems alike. (c) 2022 Elsevier Ltd. All rights reserved.
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页数：10
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