A deterministic mathematical model for optimal control of diphtheria disease with booster vaccination

Chinwendu E. Madubueze , Kazeem A. Tijani , Fatmawati
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Abstract

Diphtheria is an infectious disease caused by a strain of Corynebacterium diphtheria and forms part of the childhood vaccine-preventable diseases. The Diphtheria vaccine is a component of one of the routine vaccines given to children thrice before their first birthday. The protection against diphtheria derived from the diphtheria vaccine in infancy wanes in later childhood, necessitating a booster dose to protect the child as they grow older. To determine the impact of a booster dose of the diphtheria vaccine amidst a contaminated environment, a diphtheria model that incorporates a vaccine booster and a contaminated environment is formulated. The reproduction number R0 is computed and used to prove the local and global stability of the disease-free equilibrium. Global sensitivity analysis is conducted via the application of Latin Hypercube Sampling (LHS) with a Partial Rank Correlation coefficient on the infected humans and the contaminated environment to deduce the most sensitive parameters of the dynamics of diphtheria disease. Then, the model is further extended based on the result of the global sensitivity analysis by introducing four time-dependent controls, disinfection, screening/treatment, booster vaccination, and hygiene practice, to form an optimal control model. The control model is analyzed using Pontryagin’s maximum principle. The numerical simulation shows that diphtheria disease will reduce drastically in the community if any control combination involves booster vaccination since the diphtheria vaccine in infancy wanes after ten years. In a situation where there are limited resources to implement all the controls simultaneously, it is recommended to implement any two of the combined controls: disinfection of the environment and administration of booster vaccination or screening/treatment of the asymptomatic infected and administration of booster vaccination. The study shows that the best combination is to disinfect the environment, screen/treat the asymptomatic infected humans, and administer booster vaccination to the community.

白喉疾病强化疫苗最优控制的确定性数学模型
白喉是一种由白喉棒状杆菌引起的传染病,是儿童疫苗可预防疾病的一部分。白喉疫苗是一种常规疫苗的组成部分,在儿童一岁生日之前给他们接种三次。婴儿期白喉疫苗对白喉的保护作用在儿童后期逐渐减弱,因此随着儿童年龄的增长,需要加强剂量来保护他们。为了确定白喉疫苗加强剂在受污染环境中的影响,制定了一个包括疫苗加强剂和受污染环境的白喉模型。计算了繁殖数R0,并用它来证明无病平衡的局部稳定性和全局稳定性。应用带有偏秩相关系数的拉丁超立方抽样(LHS)对感染人群和污染环境进行全局敏感性分析,推导出白喉疾病动态的最敏感参数。然后,在全局敏感性分析结果的基础上,通过引入消毒、筛查/治疗、加强疫苗接种和卫生实践四个时变控制因素,对模型进行进一步扩展,形成最优控制模型。利用庞特里亚金极大值原理对控制模型进行了分析。数值模拟表明,由于婴儿期的白喉疫苗在10年后逐渐减弱,如果任何控制组合包括加强疫苗接种,白喉疾病将在社区中急剧减少。在资源有限,无法同时实施所有控制措施的情况下,建议实施任意两种联合控制措施:环境消毒和加强疫苗接种,或筛查/治疗无症状感染者和加强疫苗接种。研究表明,最佳的组合是对环境进行消毒,对无症状感染者进行筛查/治疗,并对社区进行加强疫苗接种。
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来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
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