模拟淋病和艾滋病毒共感染,使用对残疾和死亡风险的预测分析
Yasir Ramzan1,2, Kamel Guedri3, Aziz Ullah Awan2,4
1Department of Mathematics, Shanghai University, 99 Shangda Road, Shanghai, 200444, China.
Scientific reports
|September 26, 2025
概括
这项研究模拟了淋病和艾滋病毒共感染,包括残疾和死亡率. 研究结果强调了早期诊断和预防,以减轻这些性传播感染对健康的长期影响.
科学领域:
- 数学流行病学数学流行病学
- 公共卫生建模公共卫生建模
- 传染病的动态传染病的动态.
背景情况:
- 与淋病和人类免疫缺陷病毒 (HIV) 的同时感染带来了复杂的健康挑战.
- 了解这些感染,残疾和死亡率的相互作用对于有效的公共卫生战略至关重要.
- 现有的模型可能无法完全捕捉长期的后果,包括神经和生殖障碍.
研究的目的:
- 开发和分析淋病和艾滋病毒共感染动态的数学模型.
- 将与两种感染相关的残疾和死亡风险纳入其中.
- 估计每个感染对长期残疾的贡献,并评估预防策略.
主要方法:
- 模型开发和分析溶液属性 (局限性,积极性,独特性,存在性).
- 使用下一代矩阵计算基本复制数 (R0).
- 使用利亚普诺夫函数和图形理论方法对平衡状态 (无淋病和有淋病) 的稳定性分析.
- 灵敏度分析以确定关键传输参数.
- 使用亚当斯·巴什福斯预测器-校正器方案进行数值模拟,考虑分数顺序效应.
主要成果:
- 模型的数学属性被严格调查,并分析了平衡状态的稳定性.
- 敏感性分析确定了影响疾病传播和R0.0的关键参数.
- 模拟结果说明了改变与疾病相关的因素如何改变残疾和死亡率的过程.
结论:
- 开发的模型提供了关于淋病和艾滋病毒共感染的复杂动态的见解,包括残疾和死亡率.
- 早期诊断和有针对性的残疾预防工作被强调为必要的干预措施.
- 该模型的发现强调了解决传染性和长期健康后果的重要性.
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