基于数学模型的COVID-19最佳隔离、隔离和社交距离策略

L. Somathilake, M. Fernando
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引用次数: 0

摘要

目前世界上约有221个国家正在遭受COVID-19大流行的影响,世界卫生组织报告称,截至2021年8月31日,确诊病例为2.177亿例,死亡人数为450万人。在找到治疗方法之前,更合适的做法是遵循当局建议的健康指南。从理论上讲,预测这种大流行的过程和可能的结果对卫生保健部门提前做出决策至关重要。本文旨在基于SEIQJR数学模型,在适当的成本分析的基础上,寻找COVID-19的最佳隔离隔离和社交距离策略。对公共卫生决策者来说,将疾病控制过程的成本降至最低是非常重要的。考虑了一个最优控制问题,提出了最小化成本函数以产生最优控制策略。随后,我们通过考虑医院可能的最大容量,对问题插入不平等状态约束。版权所有©2022 Inderscience Enterprises Ltd。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal quarantine, isolation, and social distancing strategies for COVID-19 based on a mathematical model
Around 221 countries in the world are currently suffering from the COVID-19 pandemic and the World Health Organization reported there are 217.7 million confirmed cases with 4.5 million deaths tolls as of 31st August 2021. Until a cure is found, it is more appropriate to follow the health guidelines recommended by authorities. Theoretically, forecasting the courses and possible outcomes of such a pandemic is crucial for healthcare sectors to make decisions in advance. This paper aims to find optimal quarantine, isolation, and social distancing strategies for COVID-19 based on the SEIQJR mathematical model with a proper cost analysis. Minimising the cost of the controlling process of diseases is very important for public health policymakers. An optimal control problem is considered with a proposed cost functional which is minimised to yield optimal control strategies. We subsequently insert an inequality state constraint to the problem by considering the possible maximum capacities of hospitals. Copyright © 2022 Inderscience Enterprises Ltd.
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