Effect of Vaccination to COVID-19 Disease Progression and Herd Immunity

Randy L. Caga-anan, M. Raza, Grace Shelda G. Labrador, E. Metillo, P. Castillo, Y. Mammeri
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引用次数: 6

Abstract

Abstract A mathematical model of COVID-19 with a delay-term for the vaccinated compartment is developed. It has parameters accounting for vaccine-induced immunity delay, vaccine effectiveness, vaccination rate, and vaccine-induced immunity duration. The model parameters before vaccination are calibrated with the Philippines’ confirmed cases. Simulations show that vaccination has a significant effect in reducing future infections, with the vaccination rate being the dominant determining factor of the level of reduction. Moreover, depending on the vaccination rate and the vaccine-induced immunity duration, the system could reach a disease-free state but could not attain herd immunity. Simulations are also done to compare the effects of the various available vaccines. Results show that Pfizer-BioNTech has the most promising effect while Sinovac has the worst result relative to the others.
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疫苗接种对COVID-19疾病进展和群体免疫的影响
摘要建立了新冠肺炎疫苗接种室带延迟项的数学模型。它有考虑疫苗诱导免疫延迟、疫苗有效性、疫苗接种率和疫苗诱导免疫持续时间的参数。接种疫苗前的模型参数是根据菲律宾的确诊病例进行校准的。模拟显示,疫苗接种在减少未来感染方面具有显著效果,疫苗接种率是减少水平的主要决定因素。此外,根据疫苗接种率和疫苗诱导的免疫持续时间,该系统可以达到无病状态,但不能达到群体免疫。还进行了模拟,以比较各种可用疫苗的效果。结果显示,与其他公司相比,辉瑞生物技术公司的效果最有希望,而科兴公司的效果则最差。
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来源期刊
Computational and Mathematical Biophysics
Computational and Mathematical Biophysics Mathematics-Mathematical Physics
CiteScore
2.50
自引率
0.00%
发文量
8
审稿时长
30 weeks
期刊最新文献
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