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通过Atangana-Baleanu衍生物研究分数顺序狂犬病传播模型
Marya Zainab1, Salah Boulaaras2, Adnan Aslam3
1Department of Mathematics, School of Natural Sciences, National University of Sciences and Technology, Islamabad, Pakistan.
Scientific reports
|October 29, 2024
概括
这项研究引入了一个数学模型,以了解在牲畜中传播的狂犬病. 分数顺序模型有助于预测疾病动态,以便制定更好的控制策略.
科学领域:
- 流行病学 流行病学
- 数学生物学 数学生物学
- 兽医科学 兽医科学 兽医科学
背景情况:
- 狂犬病对全球牲畜群体构成重大威胁.
- 了解疾病动态对于有效的控制策略至关重要.
- 数学建模为分析传染病传播提供了强大的工具.
研究的目的:
- 通过使用数学建模,为牲畜中的狂犬病动态开发一个理论框架.
- 推进对狂犬病传播和控制机制的理解.
- 创建一种用于预测牲畜群体疾病预测的预测工具.
主要方法:
- 开发一个狂犬病的小数序数学模型.
- 使用Atangana-Baleanu分数运算符来构建模型.
- 拟议的数学系统的分析和应用.
主要成果:
- 这项研究成功地制定了一种新的狂犬病分数顺序模型.
- 该模型为分析疾病动态提供了理论基础.
- 分析表明该模型在预测狂犬病传播方面的潜力.
结论:
- 分数顺序狂犬病模型为疾病动态提供了宝贵的见解.
- 该模型可以帮助研究人员和畜牧卫生机构实施预防措施.
- 这种方法提高了对牲畜狂犬病的理解和控制.
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