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.

Authors

Institutions

Publication Details

Journal
Statistical Methods in Medical Research
Published
2025-06-19
DOI
https://doi.org/10.1177/09622802251338371
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal effects on dengue incidence based on a large cluster randomized study

Nicholas P. Jewell, Jerome A. Johnson, Suzanne M. Dufault, Xiangyu Yu
1 links
Statistical Methods in Medical Research
Mosquito-borne diseases and control
article

Spatiotemporal effects on dengue incidence based on a large cluster randomized study

Nicholas P. Jewell, Jerome A. Johnson, Suzanne M. Dufault, Xiangyu Yu
article en

Abstract

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.

Statistical Methods in Medical ResearchVol. 34(7)
University of California, San Francisco (US), London School of Hygiene & Tropical Medicine (GB), MRC Clinical Trials Unit at UCL (GB), University College London (GB), University of California, Berkeley (US)
National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 80%
Mosquito-borne diseases and control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spatiotemporal effects on dengue incidence based on a large cluster randomized study — Nicholas P. Jewell, Jerome A. Johnson, et al. · Statistical Methods in Medical Research (2025) | TGRS Research Map | TGRS