A Mathematical Model to Study the Effects of Breastfeeding and Vaccination on Rotavirus Epidemics

IF 0.5 Q4 MULTIDISCIPLINARY SCIENCES Journal of Mathematical and Fundamental Sciences Pub Date : 2020-04-30 DOI:10.5614/j.math.fund.sci.2020.52.1.4
S. Shuaib, Pakwan Riyapan
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引用次数: 3

Abstract

In this article, we formulate and analyze a mathematical model including breastfeeding and vaccination to study the transmission dynamics of rotavirus epidemics. The model is divided into five compartmental classes, namely, the susceptible compartment S(t) ; the breastfeeding compartment M(t) ; the vaccinated compartment V(t) ; the infected compartment I(t) ; and the recovered compartment R(t) . To understand the threshold of infection, the basic reproduction number relating to breastfeeding and vaccination, denoted as R vm , is computed. The results show that if R vm 1, global asymptotic stability of the endemic equilibrium exists. Numerical simulations were carried out to support the model analysis and to examine the effects of breastfeeding and vaccination on rotavirus epidemics. The model fits well with real data to predict the infected population in real life. The analysis and numerical results of the model confirm that the combination of vaccination and breastfeeding is more effective in reducing the spread of rotavirus epidemics.
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研究母乳喂养和疫苗接种对轮状病毒流行影响的数学模型
本文建立并分析了包括母乳喂养和疫苗接种在内的轮状病毒传播动力学的数学模型。模型分为5个室类,即敏感室S(t);母乳喂养室M(t);接种疫苗的隔间V(t);感染室I(t);和回收室R(t)。为了了解感染阈值,计算与母乳喂养和疫苗接种有关的基本繁殖数,记为rvm。结果表明,当rvm为1时,地方性平衡存在全局渐近稳定性。进行了数值模拟,以支持模型分析,并检查母乳喂养和接种疫苗对轮状病毒流行的影响。该模型与实际数据拟合较好,可用于预测现实生活中的感染人群。该模型的分析和数值结果证实,疫苗接种和母乳喂养相结合在减少轮状病毒流行方面更为有效。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
0
审稿时长
24 weeks
期刊介绍: Journal of Mathematical and Fundamental Sciences welcomes full research articles in the area of Mathematics and Natural Sciences from the following subject areas: Astronomy, Chemistry, Earth Sciences (Geodesy, Geology, Geophysics, Oceanography, Meteorology), Life Sciences (Agriculture, Biochemistry, Biology, Health Sciences, Medical Sciences, Pharmacy), Mathematics, Physics, and Statistics. New submissions of mathematics articles starting in January 2020 are required to focus on applied mathematics with real relevance to the field of natural sciences. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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