- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07387341
Long-acting Spatial Emanators / Repellents (LASER) (LASER)
January 27, 2026 updated by: Liverpool School of Tropical Medicine
Long-acting Spatial Emanators / Repellents (LASER) vs Indoor Residual Spraying (IRS) in Western Kenya: a Cluster-randomised Trial
Malaria is a major problem in western Kenya, particularly around Lake Victoria.
Whilst current prevention methods like bed nets and vaccines help to reduce malaria burden, additional tools are needed to better protect communities from malaria.
The investigators will test a new technology called LASER Guardian™, which are devices that release chemicals to keep mosquitoes away from homes.
The investigators will conduct a large study involving 69 villages in western Kenya over two years.
Each village will be randomly chosen to receive one of three approaches: the new LASER devices, indoor residual spraying with insecticide (a method already known to work), or the standard prevention methods currently used.
All villages will continue to receive the usual malaria prevention tools provided by the Kenyan government, including bed nets and vaccines.
In villages receiving LASER, the investigators will install 2-3 small device inside structures once a year for two years.
In villages receiving IRS, the investigators will spray the inside walls of homes with insecticide once a year for two years.
The investigators want to find out if the LASER devices can reduce malaria better than current methods alone, and whether they work as well as indoor spraying.
To do this, the investigators will carry out surveys of the community every six months over two years (four rounds in total), testing about 4,485 children between ages 1 and 15 from approximately 3,450 households in each survey to see how many have malaria.
The investigators will also work with local health clinics to track malaria cases, study mosquitoes to understand how the interventions affect them, talk with community members about their experiences, and calculate the costs of these different approaches.
This study will help us understand whether LASER tool can effectively protecting against malaria in Kenya and other African countries where malaria is common.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Estimated)
22815
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Sarah Staedke
- Phone Number: +254796667290
- Email: sarah.staedke@lstmed.ac.uk
Study Contact Backup
- Name: Natalie Tate
- Email: natalie.tate@lstmed.ac.uk
Study Locations
-
-
-
Kisumu, Kenya
- KEMRI Center for Global Health Research
-
Contact:
- Titus Kwambai
- Phone Number: +254722207281
- Email: Titus.Kwambai@lstmed.ac.uk
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
Accepts Healthy Volunteers
Yes
Description
The inclusion criteria are:
- Child aged 1-15 years
- Usual resident (a person who has been residing in the survey area for at least the past 4 months) who was present in the sampled household on the night before the survey
- Agreement of adult or parent/guardian (of children) to provide informed consent
- Agreement of child aged 12 years or older to provide assent
The exclusion criterion is:
1. Child not at home after 3 attempts
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: LASER
|
The SC Johnson long-acting product (Guardian™) is a vapor releasing product (VP) formed from a polyester (PET) mesh substrate carrier dosed with 2,500 mg of transfluthrin per unit (CAS No. 118721-89-3).
Transfluthrin is a type I synthetic pyrethroid that acts through modulation of nerve axon sodium channels, causing neurotoxicity in insects.
The product is intended to be used as spatial emanator for the control of mosquitoes.
The insecticide emanates from the product and subsequently kills or disrupts the biting behaviour of the surrounding vector population.
The LASER product will be procured locally from the SC Johnson factory in Nairobi, Kenya (SC Johnson).
|
|
Experimental: IRS
|
In clusters that are randomised to the IRS arm, IRS will be carried out using pirimiphos-methyl (Actellic®300CS) manufactured by Syngenta, an organophosphate insecticide that is registered for use in Kenya and has demonstrated effectiveness in malaria vector control.
The product will be obtained directly from Syngenta to ensure quality and authenticity, with proper documentation and chain of custody maintained throughout the procurement and storage process.
|
|
No Intervention: Standard control
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Malaria prevalence
Time Frame: Measured one time in randomly selected participants at baseline and 6, 12, 18 and 24 months post intervention deployment.
|
The primary outcome of the study will be malaria parasite prevalence (any plasmodium species) in participants aged 1-15 years old
|
Measured one time in randomly selected participants at baseline and 6, 12, 18 and 24 months post intervention deployment.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Prevalence of parasitaemia in children aged 1-5 years
Time Frame: Measured one time in randomly selected participants at baseline and 6, 12, 18 and 24 months post intervention deployment.
|
Proportion of children aged 1-5 years with blood smears positive for parasites by microscopy at the time of community cross-sectional surveys.
|
Measured one time in randomly selected participants at baseline and 6, 12, 18 and 24 months post intervention deployment.
|
|
Prevalence of parasitaemia in children aged 6-10 years
Time Frame: Measured one time in randomly selected participants at baseline and 6, 12, 18 and 24 months post intervention deployment.
|
Proportion of children aged 6-10 years with blood smears positive for parasites by microscopy at the time of community cross-sectional surveys.
|
Measured one time in randomly selected participants at baseline and 6, 12, 18 and 24 months post intervention deployment.
|
|
Prevalence of parasitaemia in children aged 11-15 years
Time Frame: Measured one time in randomly selected participants at baseline and 6, 12, 18 and 24 months post intervention deployment.
|
Proportion of children aged 11-15 years with blood smears positive for parasites by microscopy at the time of community cross-sectional surveys.
|
Measured one time in randomly selected participants at baseline and 6, 12, 18 and 24 months post intervention deployment.
|
|
Prevalence of anaemia in children under 5 years
Time Frame: Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
Proportion of children under 5 years of age with haemoglobin < 11 g/dL at the time of community cross-sectional surveys.
|
Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
|
Proportion of households that owned at least one LLIN
Time Frame: Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
Proportion of households with at least one long-lasting insecticidal net (LLIN) at the time of community cross-sectional surveys.
|
Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
|
Proportion of households with at least one LLIN for every two occupants
Time Frame: Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
Proportion of households with at least one long-lasting insecticidal net (LLIN) per every two household occupants at the time of community cross-sectional surveys.
|
Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
|
Proportion of household residents who slept under an LLIN the previous night
Time Frame: Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
Proportion of household residents who report sleeping under a long-lasting insecticidal net (LLIN) the previous night at the time of community cross-sectional surveys.
|
Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
|
LASER intervention coverage
Time Frame: Measured at 6, 12, 18 and 24 months post initial intervention deployment
|
Proportion of sampled households in the LASER intervention arm that have the required number of SCJ Guardian spatial emanators present at the time of community cross-sectional surveys.
|
Measured at 6, 12, 18 and 24 months post initial intervention deployment
|
|
Indoor residual spraying (IRS) coverage
Time Frame: Measured at 6, 12, 18 and 24 months post inital intervention deployment
|
Proportion of surveyed households that report received indoor residual spraying (IRS) as part of the study in the IRS arm.
|
Measured at 6, 12, 18 and 24 months post inital intervention deployment
|
|
Malaria incidence in patients of all ages from health facility surveillance
Time Frame: Data captured monthly for 24 months post intervention deployment
|
Number of cases of malaria diagnosed at participating health facilities among patients of all ages residing in study clusters per unit time, divided by the estimated population of the cluster villages.
|
Data captured monthly for 24 months post intervention deployment
|
|
Anopheles spp. vector density
Time Frame: Measured at baseline and 6, 12, 18 and 24 months post initial intervention deployment
|
Number of female Anopheles mosquitoes collected by ultra violet light traps per household at the time of entomology surveys in randomly selected households
|
Measured at baseline and 6, 12, 18 and 24 months post initial intervention deployment
|
|
Anopheles mosquitoes species composition
Time Frame: Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
Proportion of each Anopheles mosquito species identified among collected specimens at the time of entomology surveys by molecular identification.
|
Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
|
Sporozoite rate in Anopheles spp. mosquitoes
Time Frame: Measured at baseline and 6, 12, 18 and 24 months post initial intervention deployment
|
Proportion of screened Anopheles mosquitoes that test positive for Plasmodium sporozoites.
|
Measured at baseline and 6, 12, 18 and 24 months post initial intervention deployment
|
|
Insecticide resistance in Anopheles spp.
Time Frame: Measured at baseline and 6, 12, 18 and 24 months post initial intervention deployment
|
Proportion of Anopheles mosquitoes surviving standard WHO insecticide susceptibility tests at the time of entomology surveys.
|
Measured at baseline and 6, 12, 18 and 24 months post initial intervention deployment
|
|
Frequency of insecticide resistance genetic variants in Anopheles mosquitos
Time Frame: Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
Proportion of screened Anopheles mosquitoes carrying molecular markers associated with insecticide resistance at the time of entomology surveys.
|
Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
|
Acceptability of LASER and preventive measures by participant demographics
Time Frame: Baseline, 12 months post intervention deployment and within 3 months post intervention withdrawal
|
Proportion of participants reporting acceptability of spatial repellents (SR) and other preventive measures, assessed using structured questionnaires.
Data stratified by gender, age group, and socio-economic activity categories.
|
Baseline, 12 months post intervention deployment and within 3 months post intervention withdrawal
|
|
Appropriateness of LASER and other preventive measures in local context
Time Frame: Baseline, 12 months post intervention deployment, and within 3 months post intervention withdrawal.
|
Proportion of participants rating long-acting spatial emanators (LASER) and other preventive measures as appropriate for their local context, assessed using structured questionnaires.
Stratified by gender, age group, and socio-economic activity.
|
Baseline, 12 months post intervention deployment, and within 3 months post intervention withdrawal.
|
|
Proportion of participants reporting barriers to LASER use
Time Frame: Baseline, 12 months post intervention deployment, and within 3 months post intervention withdrawal.
|
Proportion of participants in LASER arm identifying specific barriers to LASER intervention use, assessed using semi-structured interviews and focus group discussions.
Barriers categorized and quantified by thematic analysis.
|
Baseline, 12 months post intervention deployment, and within 3 months post intervention withdrawal.
|
|
Reasons for non-adherence to LASER intervention
Time Frame: Baseline, 12 months post intervention deployment, and within 3 months post intervention withdrawal.
|
Proportion of non-adherent participants citing specific reasons for non-adherence, assessed using semi-structured interviews.
Reasons categorized by thematic analysis and reported as percentage of non-adherent participants per category.
|
Baseline, 12 months post intervention deployment, and within 3 months post intervention withdrawal.
|
|
Contextual factors affecting LASER delivery and transferability
Time Frame: Baseline, 12 months post intervention deployment, and within 3 months post intervention withdrawal.
|
Number and type of contextual factors (social, environmental, health system) affecting LASER delivery identified through key informant interviews and focus group discussions.
Factors categorized by thematic analysis to inform transferability to other malaria endemic areas.
|
Baseline, 12 months post intervention deployment, and within 3 months post intervention withdrawal.
|
|
Cost per household protected per year
Time Frame: Cost data collected monthly throughout 24-month trial period; final calculation at 24 months post intervention deployment
|
Annual cost in US dollars (USD) per household protected by the interventions, calculated as total intervention costs divided by the number of households receiving protection.
Costs include implementation, distribution, and maintenance costs.
|
Cost data collected monthly throughout 24-month trial period; final calculation at 24 months post intervention deployment
|
|
Incremental cost-effectiveness ratio: Cost per malaria case averted
Time Frame: 24 months post intervention deployment
|
Incremental cost in US dollars (USD) per malaria case averted compared to standard of care.
|
24 months post intervention deployment
|
|
Incremental cost-effectiveness ratio: Cost per DALY averted
Time Frame: 24 months post intervention deployment
|
Incremental cost in US dollars (USD) per disability-adjusted life year (DALY) averted compared to standard of care
|
24 months post intervention deployment
|
|
Mean Household Willingness to Pay
Time Frame: 24 months post intervention deployment
|
Mean willingness to pay in US dollars (USD) and local currency units (LCU) per household for the intervention, assessed using contingent valuation methodology with bidding game administered via structured questionnaire.
|
24 months post intervention deployment
|
|
Budget impact at scale
Time Frame: 24 months post intervention deployment
|
Estimated total cost in US dollars (USD) for scaling up the intervention to a defined target population, calculated using budget impact analysis modeling based on observed unit costs and projected coverage scenarios.
|
24 months post intervention deployment
|
|
Equity of intervention coverage
Time Frame: Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
Proportion of sampled households that have the intervention present at the time of community cross-sectional surveys assessed as coverage by socio-economic status group (quantile).
|
Measured at baseline and 6, 12, 18 and 24 months post intervention deployment
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
January 17, 2026
Primary Completion (Estimated)
April 30, 2028
Study Completion (Estimated)
April 30, 2028
Study Registration Dates
First Submitted
December 19, 2025
First Submitted That Met QC Criteria
January 27, 2026
First Posted (Actual)
February 4, 2026
Study Record Updates
Last Update Posted (Actual)
February 4, 2026
Last Update Submitted That Met QC Criteria
January 27, 2026
Last Verified
December 1, 2025
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 101190818
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Malaria
-
Medicines for Malaria VentureSwiss Tropical & Public Health Institute; Rinda Ubuzima, Rwanda; Swiss BioQuant; ACE ResearchNot yet recruitingMalaria | Malaria Infection | Malaria Prophylaxis | Malaria (Plasmodium Falciparum) | Malaria Falciparum | Malaria Parasitaemia | Malaria PreventionRwanda
-
Noguchi Memorial Institute for Medical ResearchMedical Research Center Unit The Gambia (MRCG)RecruitingMalaria Infection | Malaria Asymptomatic Parasitaemia | Malaria Falciparum | Malaria TransmissionGhana
-
Medicines for Malaria VentureAsociacion Civil Selva AmazonicaCompletedPlasmodium Falciparum Malaria | Plasmodium Vivax MalariaPeru
-
University of OxfordWellcome Trust; Ministry of public Health AfghanistanCompletedVivax Malaria | Uncomplicated Falciparum MalariaAfghanistan
-
Menzies School of Health ResearchNational Health and Medical Research Council, Australia; Wellcome Trust; National...CompletedVivax Malaria | Falciparum MalariaIndonesia
-
London School of Hygiene and Tropical MedicineWorld Health Organization; United Nations High Commissioner for Refugees; HealthNet... and other collaboratorsCompletedMalaria | Vivax Malaria | Falciparum MalariaPakistan
-
Menzies School of Health ResearchNational Health and Medical Research Council, Australia; Wellcome Trust; National...CompletedVivax Malaria | Falciparum MalariaIndonesia
-
Menzies School of Health ResearchInternational Centre for Diarrhoeal Disease Research, Bangladesh; Addis Ababa... and other collaboratorsCompletedMalaria | Vivax Malaria | Falciparum MalariaEthiopia, Bangladesh, Indonesia
-
University of California, San FranciscoCenters for Disease Control and Prevention; University of Massachusetts, Amherst and other collaboratorsWithdrawnPlasmodium Falciparum Malaria | Plasmodium Vivax MalariaLaos
-
Research Institute for Tropical Medicine, PhilippinesWorld Health OrganizationCompletedTES of Artemether-lumefantrine for Pf and Chloroquine for Pv in the Philippines From 2013-2014 (TES)Malaria | Vivax Malaria | Falciparum Malaria | Malaria Recrudescence
Clinical Trials on Guardian
-
Medtronic DiabetesCompletedType 1 Diabetes Mellitus | Type2 Diabetes MellitusUnited States
-
University Hospital PadovaUniversity of PadovaRecruitingInfant Development | Neurodevelopmental Abnormality | Hypoglycemia NeonatalItaly
-
Istituto Nazionale di Ricovero e Cura per AnzianiEuropean CommissionCompletedCaregiver | Aging ProblemsItaly, Netherlands, Switzerland
-
TurnCare Inc.UnknownIschemic StrokeUnited States
-
Kangbuk Samsung HospitalMedtronicCompletedDiabetes Mellitus, Type 2Korea, Republic of
-
University of AlbertaCompleted
-
University of OklahomaCompletedWeight Gain | Feeding Disorder Neonatal | Very Low Birth Weight InfantUnited States
-
University of Texas at AustinNational Heart, Lung, and Blood Institute (NHLBI)CompletedAsthma in ChildrenUnited States
-
Medtronic DiabetesCompletedDiabetes MellitusFrance, Germany, Israel, Italy, Slovenia, Sweden, United Kingdom
-
Centre Hospitalier Universitaire de NiceRecruitingHyperglycemia | Shock, Septic | HypotensionFrance