基于易感-暴露-感染-恢复模型的COVID-19疫苗有效性模型

Sabariah Saharan, Cunzhe Tee
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引用次数: 0

摘要

严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)引发了包括马来西亚和泰国在内的世界范围内的COVID-19疫情。本研究通过使用易感-暴露-感染-恢复(SEIR)和易感-暴露-感染-恢复-接种(SEIRV)模型确定了疫苗接种运动前后COVID-19爆发的趋势。利用SEIR模型和Holt线性趋势法对日报告死亡病例和康复病例进行预测,并对其性能进行评价。本研究使用的数据是来自马来西亚和泰国的真实数据。SEIRV模型提供了对COVID-19疫苗在遏制COVID-19爆发中的效果的全面看法。本研究表明,SEIR模型在预测每日报告病例方面优于Holt的线性趋势方法。
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A COVID-19 vaccine effectiveness model using the susceptible-exposed-infectious-recovered model

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) caused the start of the COVID-19 outbreak in the world, including Malaysia and Thailand. This study identifies the trend of the COVID-19 outbreak before and after the vaccination campaign by using the Susceptible-Exposed-Infectious-Recovered (SEIR) and Susceptible-Exposed-Infectious-Recovered-Vaccinated (SEIRV) models. Moreover, we predict the daily reported death and recovery cases using the SEIR model and Holt's linear trend method and then evaluate their performance. The data used in this study is real data from Malaysia and Thailand. The SEIRV model provides a comprehensive view of the efficacy of COVID-19 vaccinations in curbing the COVID-19 outbreak. This research reveals that the SEIR model outperforms Holt's linear trend method in predicting daily reported cases.

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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
期刊最新文献
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