了解共变量对使用地理统计方法预测气管瘤患病率的影响
Misaki Sasanami1, Ibrahim Almou2, Adam Nouhou Diori3
1Lancaster Medical School, Lancaster University, Lancaster, UK.
BMC global and public health
|May 31, 2025
概括
将空间共变量添加到基于模型的地球统计学 (MBG) 中,用于瘤患病率,并没有持续减少预测不确定性. 研究人员建议在国家气管瘤计划的常规MBG中避免空间共变量.
科学领域:
- 流行病学 流行病学
- 地质统计学 在地质统计学
- 公共卫生 公共卫生
背景情况:
- 基于模型的地缘统计 (MBG) 越来越多地用于估计低收入和中等收入国家被忽视的热带疾病的流行率.
- 气管瘤是可预防失明的主要原因,有效的控制计划需要准确的患病率估计.
- 调查 MBG 模型中用于瘤患病率的空间共变量的实用性对于改善疾病映射和消除策略至关重要.
研究的目的:
- 评估空间参照共变量对改善使用MBG的瘤性炎症-毛囊 (TF) 患病率的空间预测的影响.
- 评估空间共变量解释TF流行空间变化的能力.
- 确定空间共变量是否减少预定义评估单位 (EU) 的TF消除评估中的不确定性.
主要方法:
- 利用来自埃塞俄比亚,马拉维,尼日尔和尼日利亚 (2016-2023) 的基于人口的轨道瘤流行调查数据.
- 我们比较了两个MBG模型:一个仅包含年龄,另一个包含年龄和空间共变量.
- 量化剩余空间相关性和95%的预测间隔来衡量不确定性.
主要成果:
- 共同变量与TF流行率之间的关联在不同国家和国家内有很大差异.
- 在一些欧盟国家,空间共变量大大降低了TF流行率的预测不确定性,缩小了预测间隔.
- 然而,在其他情况下,空间共变量提供了微小的改进,甚至增加了预测不确定性.
结论:
- 在某些情况下,空间引用的共变量可以减少预测不确定性,但可能会产生最小的收益或增加不确定性.
- 鉴于可能产生轻微或负面影响,不建议在全球气管瘤计划中在MBG中常规,标准化地使用空间共变量.
- 在日常的MBG中避免空间共变量可能是谨慎的,以支持全球范围内国家瘤控制工作.
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