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通过数据重新采样方法,改善了对瘤社区感染的评估

David Gurarie^1,2, Anirban Mondal¹, Martial L Ndeffo-Mbah^3,4

¹Department of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, Cleveland, Ohio, USA.

Open forum infectious diseases

|February 8, 2024

概括

一种新的重新采样方法改善了Schistosoma mansoni感染的估计. 这种方法使用了SCORE项目的数据,显著减少了单日便显微镜的偏差,提供了更准确的社区流行数据.

科学领域:

寄生虫学的寄生虫学
公共卫生公共卫生
流行病学流行病学

背景情况:

schistosoma mansoni感染的诊断依赖于卡托-卡茨 (KK) 便显微镜.
KK技术表现出日复一日的变化,导致偏见的社区感染估计.
偏见的估计影响公共卫生计划规划和资源分配.

研究的目的:

为准确的社区感染预测开发重新采样方法.
利用大规模随机试验的数据来改善诊断.
为了解决传统便显微镜对 Schistosoma mansoni 的局限性.

主要方法:

开发了一种重新采样方法,使用了来自运营研究和评估 (SCORE) 石病联盟项目的数据.
将单个便样本查与多天"真实统计数据"联系起来,以获得公正的估计.
将SCORE集群方法应用于社区调查数据.

主要成果:

KK便显微镜在单日测试中显示出有限的灵敏度和系统偏差.
单日流行率估计可能高达50%低于真实值.
SCORE集群方法减少了偏差,在各种设置中实现了5%-10%的真实值内的患病率估计.

结论:

该SCORE集群方法显著提高了schistosoma mansoni的流行率估计.
这种方法在依赖便显微镜的环境中提供了更准确的评估.
改进的诊断准确性支持更好的 Schistosoma mansoni 的公共卫生干预措施.

关键词:

史基斯托索马 (Schistosoma) 是一种疾病.感染强度感染强度患病率的流行情况.在重新抽样时进行重新抽样.

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