应用SEITRS模型分析不慎感染的COVID-19病例

Q4 Mathematics

Asia Pacific Journal of Mathematics Pub Date : 2023-01-01 DOI:10.28924/apjm/10-10

O. D. Makinde, A. S. Eegunjobi

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引用次数: 0

摘要

2019冠状病毒病大流行对全球人口产生了重大影响，全世界报告了数百万例病例和死亡。在这项研究中，我们使用数学模型来分析疾病的传播，重点是粗心感染模型。我们开发和分析数学模型，以了解COVID-19的传播动态，同时考虑到人类行为的影响，例如不知道自己被感染的个体传播疾病。我们的研究结果揭示了粗心感染个体在疾病传播中的作用，并建议需要有针对性的干预措施来减少COVID-19的影响。本研究结果有助于更好地了解COVID-19的传播，并为控制其传播的公共卫生措施提供信息。©2023亚太数学杂志。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis of COVID-19 Disease With Careless Infective Using SEITRS Model

The COVID-19 pandemic has had a significant impact on the global population, with millions of cases and deaths reported worldwide. In this study, we use mathematical models to analyze the spread of the disease, with a focus on careless infective models. We develop and analyze mathematical models to understand the transmission dynamics of COVID-19, taking into account the impact of human behavior, such as the spread of the disease by individuals who are unaware that they are infected. Our results provide insights into the role of careless infective individuals in the spread of the disease and suggest the need for targeted interventions to reduce the impact of COVID-19 The results of this study contribute to a better understanding of the spread of COVID-19 and inform public health measures to control its transmission. © 2023 Asia Paciﬁc Journal of Mathematics.

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来源期刊

Asia Pacific Journal of Mathematics Mathematics-General Mathematics

CiteScore

0.40

自引率

0.00%

发文量

审稿时长

16 weeks