在气候变化下,模拟定期输入的奥恩斯坦-乌伦贝克温度-传播疾病传播合机制
1School of Mathematical Sciences, Tiangong University, Tianjin, 300387, PR China.
Acta tropica
|December 18, 2024
概括
气候变化显著影响传播疾病的传播. 我们的模型表明,环境噪音可以减少种群,而特定的温度条件和减少的波动有助于消除疾病.
科学领域:
- 流行病学 流行病学
- 数学生物学 数学生物学
- 气候科学 气候科学
背景情况:
- 在全球范围内,气候变化正在增加传播疾病的发生率.
- 了解气候变量和疾病传播之间的复杂相互作用对于有效的公共卫生战略至关重要.
研究的目的:
- 开发一种新的随机动态模型,评估气候变化对传播疾病传播的影响.
- 分析季节性温度变化,环境干扰和共同养对疾病动态的影响.
- 为了获得种群灭绝和疾病根除的条件.
主要方法:
- 将一个平均逆转的奥恩斯坦-乌伦贝克温度方程与周期输入与传播疾病模型相结合.
- 理论分析以确定种群灭绝,疾病根除和随机持久性的条件.
- 数字模拟用于验证温度模型的合适性和评估风险因素.
主要成果:
- 拟议的模型有效地模拟了中国不同度的温度数据.
- 低度地区对传播疾病的空间风险更高.
- 与没有预防措施的历史时期相比,当前的时间风险较高.
- 环境噪音有利于种群灭绝,而受控的温度波动和回归率有利于疾病根除.
结论:
- 气候变化显著改变了传播疾病的传播动态.
- 环境因素,特别是温度和噪音,对于预测疾病风险和指导控制策略至关重要.
- 针对高风险地区和时间段的有针对性的干预措施对于缓解疾病传播至关重要.
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