Vaccination impact on impending HIV-COVID-19 dual epidemic with autogenous behavior modification: Hill-type functional response and premeditated optimization technique

接种疫苗 基本再生数 医学 人口 流行病模型 免疫学 环境卫生
作者
Madhuri Majumder,Samares Pal,Pankaj Kumar Tiwari
出处
期刊:Chaos [American Institute of Physics]
卷期号:34 (3) 被引量:1
标识
DOI:10.1063/5.0186156
摘要

An HIV-COVID-19 co-infection dynamics is modeled mathematically assimilating the vaccination mechanism that incorporates endogenous modification of human practices generated by the COVID-19 prevalence, absorbing the relevance of the treatment mechanism in suppressing the co-infection burden. Envisaging a COVID-19 situation, the HIV-subsystem is analyzed by introducing COVID-19 vaccination for the HIV-infected population as a prevention, and the "vaccination influenced basic reproduction number" of HIV is derived. The mono-infection systems experience forward bifurcation that evidences the persistence of diseases above unit epidemic thresholds. Delicate simulation methodologies are employed to explore the impacts of baseline vaccination, prevalence-dependent spontaneous behavioral change that induces supplementary vaccination, and medication on the dual epidemic. Captivatingly, a paradox is revealed showing that people start to get vaccinated at an additional rate with the increased COVID-19 prevalence, which ultimately diminishes the dual epidemic load. It suggests increasing the baseline vaccination rate and the potency of propagated awareness. Co-infection treatment needs to be emphasized parallelly with single infection medication under dual epidemic situations. Further, an optimization technique is introduced to the co-infection model integrating vaccination and treatment control mechanisms, which approves the strategy combining vaccination with awareness and medication as the ideal one for epidemic and economic gain. Conclusively, it is manifested that waiting frivolously for any anticipated outbreak, depending on autogenous behavior modification generated by the increased COVID-19 prevalence, instead of elevating vaccination campaigns and the efficacy of awareness beforehand, may cause devastation to the population under future co-epidemic conditions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
llsknd发布了新的文献求助10
刚刚
小胖胖发布了新的文献求助10
刚刚
enen完成签到,获得积分20
1秒前
浮游应助甜美乘云采纳,获得10
2秒前
怕黑剑封发布了新的文献求助10
2秒前
wanci应助George采纳,获得30
2秒前
2秒前
Orange应助学霸土豆采纳,获得20
4秒前
科研通AI6应助田字格采纳,获得10
4秒前
Rear21完成签到,获得积分10
4秒前
无聊的老姆完成签到 ,获得积分10
5秒前
怕黑剑封发布了新的文献求助10
7秒前
7秒前
8秒前
灵巧灵萱发布了新的文献求助10
8秒前
专注的问寒应助三七采纳,获得20
8秒前
科目三应助欣怡高采纳,获得10
8秒前
量子星尘发布了新的文献求助10
9秒前
9秒前
10秒前
mufcyang发布了新的文献求助10
11秒前
12秒前
白晓松发布了新的文献求助10
12秒前
xing发布了新的文献求助10
12秒前
学霸土豆发布了新的文献求助20
14秒前
15秒前
16秒前
蓝天发布了新的文献求助10
17秒前
Rocket完成签到,获得积分10
17秒前
vtfangfangfang完成签到,获得积分10
18秒前
18秒前
德玛西亚完成签到,获得积分10
22秒前
隐形刺猬完成签到 ,获得积分10
22秒前
怕黑剑封完成签到,获得积分20
22秒前
村上种树完成签到,获得积分10
22秒前
22秒前
李爱国应助平淡的翅膀采纳,获得10
24秒前
李爱国应助怕黑剑封采纳,获得10
26秒前
26秒前
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 6000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
The Political Psychology of Citizens in Rising China 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5637867
求助须知:如何正确求助?哪些是违规求助? 4744182
关于积分的说明 15000410
捐赠科研通 4796064
什么是DOI,文献DOI怎么找? 2562285
邀请新用户注册赠送积分活动 1521829
关于科研通互助平台的介绍 1481714