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Impact of Project Wolbachia - Singapore on Dengue Incidence

Assessing the Efficacy of Male Wolbachia-infected Mosquito Deployments to Reduce Dengue Incidence in Singapore: a Cluster Randomized Controlled Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05505682
Enrollment
724428
Registered
2022-08-18
Start date
2022-07-28
Completion date
2024-09-13
Last updated
2025-05-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Dengue

Brief summary

The study is a cluster-randomised controlled trial set in Singapore, to assess if the deployment of male Wolbachia-infected Aedes aegypti mosquitoes can reduce dengue incidence in intervention clusters.

Detailed description

The study is designed as a parallel, two-arm, non-blinded cluster-randomised controlled trial to be conducted in high-rise public housing estates in Singapore. The aim is to determine whether large-scale deployment of male Wolbachia-infected Ae. aegypti mosquitoes can significantly reduce dengue incidence in intervention clusters. The investigators will use the cluster-randomised design, with the study area comprising 15 clusters with a total area of 10.9 km2, covering approximately 722,000 residents in 1,700 apartment blocks. Eight clusters will be randomly selected to receive the intervention, while the other seven will serve as non-intervention clusters. Intervention efficacy will be estimated through two primary endpoints: (1) odds ratio of Wolbachia exposure distribution (i.e. probability of living in an intervention cluster) among laboratory-confirmed reported dengue cases compared to test-negative controls, and (2) laboratory-confirmed reported dengue counts normalized by population size in intervention versus non-intervention clusters.

Interventions

Releases of male Wolbachia-infected Aedes aegypti mosquitoes

Sponsors

Ministry of Health, Singapore
CollaboratorOTHER_GOV
National Environment Agency, Singapore
Lead SponsorOTHER_GOV

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Intervention model description

Parallel, two-arm, non-blinded cluster-randomised controlled trial

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Dengue-suspected patients living in the intervention and non-intervention clusters whose blood samples are collected by a national network of diagnostic laboratories that support private clinics, public polyclinics, or public/private hospitals. * Test positive cases: Patients with virologically confirmed DENV infection through RT-qPCR, testing positive for NS1 antigen or IgM. A positive test for any of the three assays would classify the patient as a dengue case. * Test negative controls: Patients with negative test results for DENV through RT-qPCR, NS1 antigen ELISA, or DENV IgM.

Design outcomes

Primary

MeasureTime frameDescription
Odds ratio of Wolbachia exposure distribution among laboratory-confirmed reported dengue cases compared to test-negative controlsUp to 3 yearsDengue cases and dengue test-negative controls data will be obtained from the national surveillance network of diagnostic laboratories which receive samples for dengue testing.
Laboratory-confirmed reported dengue case counts normalized by population size in intervention versus non-intervention clustersUp to 3 yearsDengue cases data will be obtained from the national surveillance network of diagnostic laboratories which receive samples for dengue testing.

Secondary

MeasureTime frameDescription
Prevalence of Ae. aegypti/Ae. albopictus mosquitoesUp to 3 yearsData will be obtained from the national gravitrap surveillance system
Public Attitudes, Perceptions & Knowledge (APK) of Wolbachia and other vector control interventionsUp to 3 yearsSentiment surveys pre-trial and during the course of the trial, using true/false and Likert-type scales. Higher scores mean better outcomes.

Countries

Singapore

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 12, 2026