Analyzing Covid-19 Vaccination Behavior Using an Seirm/V Epidemic Model With Awareness Decay

Bibliographic Data

ID22076801
AuthorsChao Zuo (0000-0002-5177-5813, Zhejiang Gongshang University, corresponding author), Fenping Zhu (Zhejiang Gongshang University), Yuting Ling (Zhejiang Gongshang University)
Year2022
Volume10
Pages817749-817749
Publication date2022-01-27
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.817749
PMID35155327
OpenAlexW4210291863
LanguageEN
Citations received1
References cited31

Information awareness about COVID-19 spread through multiple channels can stimulate individuals to vaccinate to protect themselves and reduce the infection rate. However, the awareness individuals may lose competency over time due to the decreasing quality of the information and fading of awareness. This paper introduces awareness programs, which can not only change people from unaware to aware state, but also from aware to unaware state. Then an SEIRM/V mathematical model is derived to study the influence of awareness programs on individual vaccination behavior. We evaluate the dynamical evolution of the system model and perform the numerical simulation, and examine the effects of awareness transformation based on the COVID-19 vaccination case in China. The results show that awareness spread through various information sources is positively associated with epidemic containment while awareness fading negatively correlates with vaccination coverage

Environmental health · Epidemic model · Fading · Telecommunications · Vaccination · Computer Science · COVID-19 epidemiological studies · Medicine · Misinformation and Its Impacts · Opinion Dynamics and Social Influence · Psychology · Immunology

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