- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06894901
Impact of IIT-SIT on Dengue Clusters
Assessing the Efficacy of Incompatible Insect Technique Coupled with Sterile Insect Technique (IIT-SIT) to Manage Large Dengue Clusters: a Randomized Controlled Trial
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Aedes-borne diseases are expected to increase in geographical coverage and intensity due to climate change and rapid urbanization. It has been demonstrated that Wolbachia-mediated incompatible insect technique coupled with sterile insect technique (IIT-SIT) is highly effective in suppressing Aedes populations and subsequently reducing dengue risk. However, the efficacy of the tool in mitigating ongoing transmission is unknown.
The researchers outline a randomized controlled trial to be conducted in high-rise public housing estates in Singapore to assess the efficacy of IIT-SIT to mitigate active dengue transmission. Specifically, the study will determine whether the release of male Wolbachia-infected Aedes aegypti mosquitoes can curtail the growth of dengue clusters, defined operationally by the Singapore National Environment Agency (NEA) as two or more reported dengue cases within a 150-meter radius and with illness onset dates within 14 days of each other. This study will randomize eligible clusters into intervention/control arms in real-time. Clusters assigned to the intervention arm will receive IIT-SIT treatment until cluster extinction (i.e. when no further cases are linked to the cluster). This trial closely mimics how IIT-SIT could be used as an additional tool for outbreak management, by treating areas with active dengue transmission in real-time. Conventional vector control measures will be carried out as per NEA's usual outbreak management practices in both intervention and control clusters. The intervention efficacy will be estimated through two primary endpoints: (1) probability of cluster extinction, as estimated from the time-to-cluster extinction among intervention versus control clusters; and (2) final size of the dengue cluster, as estimated by the difference in the final number of dengue cases in intervention versus control clusters.
This study will provide evidence from a randomized controlled trial for the efficacy of IIT-SIT in curbing ongoing transmission and provide an epidemiological basis for integrating IIT-SIT into the existing arsenal of outbreak management tools. The trial will assess the technology's feasibility for operationalization, and identify difficulties in implementation prior to larger-scale use for outbreak control.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Lee Ching Ng, PhD
- Phone Number: +65 67719108
- Email: NG_Lee_Ching@nea.gov.sg
Study Locations
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-
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Singapore, Singapore
- Recruiting
- National Environment Agency
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Contact:
- Lee Ching Ng
- Email: NG_Lee_Ching@nea.gov.sg
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Intervention clusters
Dengue clusters in residential estates that receive releases of male Wolbachia-infected Aedes aegypti
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Releases of male Wolbachia-infected Aedes aegypti mosquitoes
|
|
No Intervention: Non-intervention clusters
Dengue clusters in residential estates that do not receive releases of male Wolbachia-infected Aedes aegypti
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Impact of male Wolbachia-Aedes deployments on the time to cluster extinction
Time Frame: Up to 3 years
|
In this analysis, male Wolbachia-Aedes exposure will be considered as a binary classification based on whether the dengue cluster is allocated to the intervention or control arm.
Cox proportional hazards models will be used to assess the intervention effect of male Wolbachia-Aedes by estimating the hazards ratio, which compares the probability of cluster extinction between arms from following up clusters from enrolment to cluster extinction.
|
Up to 3 years
|
|
Impact of male Wolbachia-Aedes deployments on final cluster size, as measured by the difference in final cluster size between arms
Time Frame: Up to 3 years
|
In this analysis, male Wolbachia-Aedes exposure will be considered as a binary classification based on whether the dengue cluster is allocated to the intervention or control arm.
Negative binomial models will be used to assess the intervention effect of male Wolbachia-Aedes by estimating the average treatment effect of the intervention on the final number of dengue cases in intervention versus control clusters.
|
Up to 3 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Impact of male Wolbachia-Aedes deployments on the prevalence of Ae. aegypti/Ae. albopictus mosquitoes
Time Frame: Up to 3 years
|
The study will test whether male Wolbachia-Aedes deployments will effectively suppress Ae. aegypti mosquito populations as well as whether they have an off-target impact on Ae. albopictus mosquito populations in intervention vs. control clusters.
|
Up to 3 years
|
|
Impact of male Wolbachia-Aedes deployments on dengue risk in clusters, measured by odds ratio of Wolbachia exposure distribution among laboratory-confirmed reported dengue cases compared to test-negative controls
Time Frame: Up to 3 years
|
In this analysis, male Wolbachia-Aedes exposure will be considered as a binary classification based on whether a patient's residence is in an dengue cluster receiving intervention or a control cluster, where residence is defined as the primary place where the patient resided at reporting date.
|
Up to 3 years
|
|
Impact of male Wolbachia-Aedes deployments on the individual level reproduction number
Time Frame: Up to 3 years
|
In this analysis, the researchers will use notified and individually geolocated dengue cases to calculate the spatially adjusted time-varying reproduction number, which estimates the number of forward infections caused by an individual.
|
Up to 3 years
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Lee Ching Ng Group Director (Environmental Health Institute), PhD, Environmental Health Institute
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- IRB2025
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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