基于大聚类随机研究的登革热发病时空影响

IF 1.6 3区 医学 Q3 HEALTH CARE SCIENCES & SERVICES
Jerome Johnson, Xiangyu Yu, Suzanne M Dufault, Nicholas P Jewell
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引用次数: 0

摘要

最近的一项大规模集群随机试验阴性研究评估了以蚊子为基础的干预对临床登革热发病率的影响,显示保护效果为77.1% (95% CI:(65.3%, 84.9%))。虽然干预措施是在集群水平上随机进行的,但由于登革热病例的空间聚类,人类和蚊子的运动表明,可能违反了意向治疗分析所需的假设,无法准确估计全部干预效果,和/或干预措施(或控制措施)跨集群边界的溢出可能导致干预措施不独立。我们使用两种方法来解决这些不同但相关的影响。首先,我们检查是否存在聚类效应,即在距离住所指定距离内的样本中最近出现登革热病例是否会增加登革热的风险。其次,利用集群再分配技术考察干预的溢出效应。我们发现登革热病例的存在对临床登革热风险具有很强的空间效应,表现出血清特异性和剂量反应,至少在累加尺度上,在对照组中比干预组更明显。相反,在登革热感染风险或疾病聚集性水平方面,没有证据表明干预措施对控制聚集性有任何明显的局部溢出效应,反之亦然。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatiotemporal effects on dengue incidence based on a large cluster randomized study.

A recent large-scale cluster randomized test-negative study assessed the impact of a mosquito-based intervention on the incidence of clinical dengue showing a protective efficacy of 77.1% (95% CI: (65.3%, 84.9%)). While the intervention was randomized at a cluster-level, human and mosquito movement suggest potential violations in assumptions necessary for intention-to-treat analyses to produce accurate estimates of the full intervention effect due to spatial clustering of dengue cases, and/or potential non-independence in the intervention arising from spillover of the intervention (or control) across cluster boundaries. We address these distinct but related effects using two approaches. First, we examine whether a clustering effect exists, that is, whether the presence of a recent dengue case in the sample within a specified distance from a residence raises the risk of dengue. Second, we use cluster reallocation techniques to examine intervention spillover effects. We find strong spatial effects of the presence of dengue cases on the risk of clinical dengue that exhibit both serospecificity and a dose response, more evident in control than intervention clusters at least on an additive scale. Contrarily, there is no evidence of any appreciable local spillover effect from intervention to control clusters, or vice versa, in terms of either the risk of dengue infection or the level of disease clustering.

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来源期刊
Statistical Methods in Medical Research
Statistical Methods in Medical Research 医学-数学与计算生物学
CiteScore
4.10
自引率
4.30%
发文量
127
审稿时长
>12 weeks
期刊介绍: Statistical Methods in Medical Research is a peer reviewed scholarly journal and is the leading vehicle for articles in all the main areas of medical statistics and an essential reference for all medical statisticians. This unique journal is devoted solely to statistics and medicine and aims to keep professionals abreast of the many powerful statistical techniques now available to the medical profession. This journal is a member of the Committee on Publication Ethics (COPE)
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