气候变化对结核病的长期和短期不对称影响基于时间序列研究
Yongbin Wang1, Chenlu Xue2, Bo Xue2
1Department of Epidemiology and Health Statistics, School of Public Health, The First Affiliated Hospital of Xinxiang Medical University, No. 601 Jinsui Road, Hongqi District, Xinxiang, 453003, Henan Province, People's Republic of China. wybwho@163.com.
气候变化对结核病 (TB) 病例产生重大影响,具有明显的长期和短期影响. 非线性模型准确预测结核病趋势,帮助公共卫生政策应对气候敏感疾病.
科学领域:
- 环境科学 环境科学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 气候变化影响传染病的动态.
- 了解不对称影响对于准确的结核病 (TB) 预测至关重要.
- 以前的模型往往无法捕捉到气候和结核病之间的非线性关系.
研究的目的:
- 研究气候变化对结核病发病率的长期和短期不对称影响.
- 开发和比较使用自回归分布式滞后 (ARDL) 和非线性ARDL (NARDL) 的结核病预测模型.
- 提高结核病预测的准确性,并为公共卫生政策提供信息.
主要方法:
- 利用ARDL和NARDL模型分析气候变量 (日照时间,风速,相对湿度,气压) 和结核病例.
- 使用沃尔德长期不对称性测试来评估统计学意义.
- 对预测准确性进行评估的模型性能.
主要成果:
- 气候变化在长期和短期内对结核病产生了显著的不对称影响.
- 特定的气候因素,如日照时间,风速,相对湿度和空气压力,对结核病例数量产生了不同的影响.
- 与ARDL模型相比,NARDL模型提供了更高的预测准确度.
结论:
- 气候变化对结核病传播有明显的不对称影响.
- NARDL模型有效地捕捉了这些复杂的关系,改善了结核病预测.
- 将不对称的气候影响纳入NARDL预测中,提高了对结核病控制的政策建议.
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