- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05219565
Evaluating ATSBs for Malaria Reduction in Kenya
Phase III, Open-label, Community-based, Cluster Randomised Controlled Trial to Evaluate the Efficacy, Cost-effectiveness, and Acceptability of Attractive Targeted Sugar Baits (ATSB) for Malaria Burden Reduction in Western Kenya
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The current malaria vector control tools, long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) are critically important and have saved many lives. However, their effectiveness in western Kenya is threatened by insecticide resistance and vector behaviour changes toward more early evening and outdoor biting malaria vectors. LLINs and IRS specifically target indoor-biting and indoor-resting mosquitoes. Malaria vectors exhibit different behavioural characteristics that mitigate the effectiveness of vector control strategies. For example, traditionally, An. gambiae s.s. has been regarded as human-biting with late-night indoor-feeding and indoor-resting behaviours, while An. Arabiensis is found more often in drier environments and is more zoophagic with outdoor biting and resting behaviours. Following LLINs and IRS's widespread scale-up, the dominant African vectors' distributions and behaviours changed with An. gambiae s.s. and An. Funestus (also an indoor human biter) diminishing in abundance relative to An. arabiensis. Subsequently, shifts towards earlier evening biting by An. Gambiae s.s. (before people enter houses to sleep under LLINs) and later biting by An. Funestus (biting in the morning after sunrise) are examples of behavioural plasticity enabling these species to avoid contact with the LLIN and IRS insecticides.
There is a need for interventions that supplement and complement LLINs and IRS by killing mosquitoes outside houses using other biologic mechanisms (e.g., targeting sugar feeding behaviour). Furthermore, insecticides are required with novel modes of action that may restore sensitivity to pyrethroids by killing both pyrethroid-resistant and sensitive mosquitoes. Attractive Targeted Sugar Bait (ATSB) (the name was recently changed from Attractive Toxic Sugar Bait to highlight that it targets malaria vectors) is a promising new intervention that potentially fills the need for outdoor interventions with novel killing effects.
ATSB 'bait stations' are A4-sized panels containing thickened fruit syrup laced with a neonicotinoid insecticide (dinotefuran) to attract and kill the foraging vectors. Entomological field trials in Mali showed that ATSBs successfully reduce mosquito densities and longevity and thus have the potential to reduce malaria transmission. Large scale efficacy studies are now needed to establish the efficacy of ATSB for controlling malaria transmission.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Siaya County
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Siaya, Siaya County, Kenya, 20200
- Naya Health Centre
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Siaya, Siaya County, Kenya
- Benga Dispensary
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Siaya, Siaya County, Kenya
- Boro Dispensary
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Siaya, Siaya County, Kenya
- Manyuanda Health Centre
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Siaya, Siaya County, Kenya
- Nyadhi Dispensary
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Siaya, Siaya County, Kenya
- Ong'ielo Model Health Centre
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Siaya, Siaya County, Kenya
- Rabar Dispensary
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Siaya, Siaya County, Kenya
- Rageng'ni Dispensary
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Siaya, Siaya County, Kenya
- Rambugu Dispensary
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Eligibility criteria for clusters: Inclusion criteria
- A grouping of contiguous rural villages in Alego-Usonga and Rarieda sub-counties of Siaya County
- A minimum of 200 households
Eligibility criteria for clusters: Exclusion criteria
- Hard to reach in the rainy season
- Refusal to participate by village elders
Eligibility criteria for participants in the cohort study: Inclusion criteria
- A resident of a household within the core area of a study cluster, defined as living in the household in the recent four months and planning to live in the same household for the next 6.5 months
- Aged ≥ 1 year and < 15 years at the time of enrollment
- Written informed consent and/or assent
Eligibility criteria for participants in the cohort study: Exclusion criteria
- A confirmed or suspected pregnancy. Pregnant women are excluded because they are eligible for intermittent preventive treatment of malaria in pregnancy (IPTp).
- Taking daily cotrimoxazole prophylaxis (because this has antimalarial effects)
- Known sickle cell disease (because they received antimalarial prophylaxis)
- Contraindication to artemether-lumefantrine, the medication used for parasite clearance
Eligibility criteria for households for ATSB deployment: Inclusion criteria
--Households located within one of the 40 clusters (core or buffer area) randomly allocated to the trial intervention arm with a least one permanent resident
Eligibility criteria for households for ATSB deployment: Exclusion criteria
- Refusal of consent by the head-of-household to deploy ATSB on the outer walls (intervention villages only)
- Vacated compounds
Eligibility criteria for households for entomological monitoring: Inclusion criteria
- Household located within the core area of the cluster
- Head of household or his/her representative is at least 18 years of age
- Written informed consent for the collection of entomological data by the head of household or representative
Eligibility criteria for households for entomological monitoring: Exclusion criteria --No residents sleeping in the household during the planned night of monitoring
Eligibility criteria for human landing catches: Inclusion criteria
- Men aged 18 to 49 years
- Willingness and ability to work late at night for up to 7 hours at a time
- Willingness to take and tolerate a treatment regimen of the appropriate Kenya Ministry of Health (MoH) recommended antimalarial and chemoprophylaxis with 250 mg of mefloquine weekly to prevent malaria starting two weeks before the start of and until four weeks after completing HLCs
- Written informed consent
Eligibility criteria for human landing catches: Exclusion criteria
- Refusal/inability to work late at night for up to 7 hours at a time
- Unwillingness to take or intolerance/allergy to appropriate MoH treatment regimen or chemoprophylaxis
Eligibility criteria for participants in rapid ethnographic methods evaluation (community members): Inclusion criteria
- A resident of a household within an intervention area defined as an ATSB area during the main trial or an ASB area during any preliminary studies
- Resides in a household at the time of ASB/ATSB deployment, where the ASB/ATSB was installed for at least one month.
- 18 years of age or older if participating in focus group discussions; 15 years of age or older if participating in in-depth interviews
Eligibility criteria for participants in rapid ethnographic methods evaluation (community members): Exclusion criteria
--Unable to provide consent
Eligibility criteria for participants in rapid ethnographic methods evaluation (ATSB monitoring assistants): Inclusion criteria
- Inclusion criteria ethnographic evaluation (ATSB monitoring assistants)
- Serving as an ATSB monitoring assistant with experience installing ATSBs and monitoring the deployment Eighteen years of age or older
Eligibility criteria for participants in rapid ethnographic methods evaluation (ATSB monitoring assistants): Exclusion criteria
- Less than one month experience (i.e. is new to the job)
- Unable to provide consent
Study Plan
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 |
|---|---|
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No Intervention: Control
Clusters within the control arm will not receive ATSBs.
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|
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Experimental: Attractive Targeted Sugar Bait (ATSB)
Clusters within the ATSB arm will have 2 ATSBs hung on all eligible structures in the cluster where consent from the corresponding compound has been given.
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An ATSB is a A4-sized panel containing thickened fruit syrup laced with a neonicotinoid insecticide, dinotefuran.
The syrup-insecticide mixture is covered with a protective membrane that allows mosquitoes to feed through the membrane while preventing non-target organisms from feeding.
This device is designed to attract and kill mosquitoes.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Clinical malaria
Time Frame: Two years
|
The incidence rate of clinical malaria defined as current fever (axillary temperature of ≥37.5°C) or history of fever in last 48 hours and a positive rapid diagnostic test (RDT, pLDH or HRP2), in children aged 1-<15 years enrolled in the cohort study
|
Two years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Time to first malaria infection by PCR
Time Frame: Two years
|
The time to first malaria infection assessed by PCR in children aged 1-<15 years enrolled in a cohort study
|
Two years
|
|
Malaria infection incidence by RDT (pLDH)
Time Frame: Two years
|
The incidence rate of malaria infection detected by RDT (pLDH) in children aged 1-<15 years enrolled in a cohort study
|
Two years
|
|
Malaria infection prevalence by RDT (pLDH)
Time Frame: Two years
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The prevalence of malaria infection detected by RDT (pLDH) in cross-sectional household surveys
|
Two years
|
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Incidence of malaria illness (passive surveillance)
Time Frame: Two years
|
The incidence rate of malaria illness (sick-visit with a positive malaria rapid diagnostic test or microscopy) assessed by health-facility and community-based surveillance
|
Two years
|
|
Incidence of non-malaria illness (cohort)
Time Frame: Two years
|
The incidence rate of non-malaria illness in children aged 1-<15 years enrolled in a cohort study
|
Two years
|
|
Incidence of non-malaria illness (passive surveillance)
Time Frame: Two years
|
The incidence rate of non-malaria illness assessed by health-facility and community-based surveillance
|
Two years
|
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Prevalence of non-malaria illness
Time Frame: Two years
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The prevalence of non-malaria illness in cross-sectional household surveys
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Two years
|
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Malaria vector density
Time Frame: Two years
|
Entomological outcome: Malaria vector densities
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Two years
|
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Proportion of female anopheles mosquitoes older than three gonotrophic cycles,
Time Frame: Two years
|
Entomological outcome: The proportion of female anopheles mosquitoes older than three gonotrophic cycles.
|
Two years
|
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Sporozoite rate
Time Frame: Two years
|
Entomological outcomes: Sporozoite rate
|
Two years
|
|
Entomological Inoculation Rate (EIR)
Time Frame: Two years
|
Entomological outcome: Entomological Inoculation Rate (EIR)
|
Two years
|
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Non-Target Organisms (NTOs) attracted to ATSBs
Time Frame: Two years
|
Entomological outcome: Proportion of monitoring visits where NTOs were observed on bait stations
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Two years
|
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Markers of insecticide resistance (dinotefuran)
Time Frame: Two years
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Entomological outcome: Proportion of mosquitoes with resistance to dinotefuran among total mosquitoes collected in 4 WHO mosquito tubes in the trial area
|
Two years
|
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Markers of insecticide resistance (permethrin)
Time Frame: Two years
|
Entomological outcome: Proportion of mosquitoes with resistance to permethrin among total mosquitoes collected in 4 WHO mosquito tubes in the trial area
|
Two years
|
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Markers of insecticide resistance (deltamethrin)
Time Frame: Two years
|
Entomological outcome: Proportion of mosquitoes with resistance to deltamethrin among total mosquitoes collected in 4 WHO mosquito tubes in the trial area
|
Two years
|
|
Antibody concentrations against malaria antigen MSP-1
Time Frame: Two years
|
Antibody concentration against merozoite surface protein-1 (MSP-1) among cohort participants
|
Two years
|
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Antibody concentrations against malaria antigen CSP
Time Frame: Two years
|
Antibody concentration against circumsporozoite proteins (CSP) among cohort participants
|
Two years
|
|
Complexity of infection (COI)
Time Frame: Two years
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The complexity of (malaria) infection assessed by molecular markers, including, but not limited to, 24-single-nucleotide polymorphisms (24-SNP) barcodes
|
Two years
|
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Mosquito salivary antigens
Time Frame: Two years
|
Presence of mosquito salivary antigens in human blood as a measure for mosquito biting rates among cohort participants
|
Two years
|
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AEs
Time Frame: Two years
|
Number of adverse events associated with misuse of ATSBs.
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Two years
|
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ATSB removal rate
Time Frame: Two years
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The proportion of ATSBs that have been moved/removed
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Two years
|
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Perceptions of ATSBs
Time Frame: Two years
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The proportion of household heads who perceive ATSBs as safe and effective out of all household head who consented to ATSB deployment on their household structures.
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Two years
|
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Household use of LLINs in the setting of ATSBs
Time Frame: Two years
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The proportion of children aged 1-<15 years enrolled in a cohort study who used an LLIN the night prior
|
Two years
|
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Household care seeking behavior in the setting of ATSBs
Time Frame: Two years
|
The proportion of children aged 1-<15 years enrolled in a cohort study who sought care for febrile illness
|
Two years
|
|
Cost-effectiveness
Time Frame: Two years
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Incremental cost-effectiveness of ATSB above the standard of care measured through costing of intervention and efficacy outcomes
|
Two years
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Aaron Samuels, MD, MHS, Centers for Disease Control and Prevention
- Principal Investigator: Eric Ochomo, Kenya Medical Research Institute
Publications and helpful links
General Publications
- Amek N, Bayoh N, Hamel M, Lindblade KA, Gimnig JE, Odhiambo F, Laserson KF, Slutsker L, Smith T, Vounatsou P. Spatial and temporal dynamics of malaria transmission in rural Western Kenya. Parasit Vectors. 2012 Apr 28;5:86. doi: 10.1186/1756-3305-5-86.
- Moiroux N, Damien GB, Egrot M, Djenontin A, Chandre F, Corbel V, Killeen GF, Pennetier C. Human exposure to early morning Anopheles funestus biting behavior and personal protection provided by long-lasting insecticidal nets. PLoS One. 2014 Aug 12;9(8):e104967. doi: 10.1371/journal.pone.0104967. eCollection 2014.
- Sougoufara S, Diedhiou SM, Doucoure S, Diagne N, Sembene PM, Harry M, Trape JF, Sokhna C, Ndiath MO. Biting by Anopheles funestus in broad daylight after use of long-lasting insecticidal nets: a new challenge to malaria elimination. Malar J. 2014 Mar 28;13:125. doi: 10.1186/1475-2875-13-125.
- Huho B, Briet O, Seyoum A, Sikaala C, Bayoh N, Gimnig J, Okumu F, Diallo D, Abdulla S, Smith T, Killeen G. Consistently high estimates for the proportion of human exposure to malaria vector populations occurring indoors in rural Africa. Int J Epidemiol. 2013 Feb;42(1):235-47. doi: 10.1093/ije/dys214. Epub 2013 Feb 9.
- Killeen GF. Characterizing, controlling and eliminating residual malaria transmission. Malar J. 2014 Aug 23;13:330. doi: 10.1186/1475-2875-13-330.
- Killeen GF, Marshall JM, Kiware SS, South AB, Tusting LS, Chaki PP, Govella NJ. Measuring, manipulating and exploiting behaviours of adult mosquitoes to optimise malaria vector control impact. BMJ Glob Health. 2017 Apr 26;2(2):e000212. doi: 10.1136/bmjgh-2016-000212. eCollection 2017.
- Zhu L, Muller GC, Marshall JM, Arheart KL, Qualls WA, Hlaing WM, Schlein Y, Traore SF, Doumbia S, Beier JC. Is outdoor vector control needed for malaria elimination? An individual-based modelling study. Malar J. 2017 Jul 3;16(1):266. doi: 10.1186/s12936-017-1920-y.
- Beier JC, Muller GC, Gu W, Arheart KL, Schlein Y. Attractive toxic sugar bait (ATSB) methods decimate populations of Anopheles malaria vectors in arid environments regardless of the local availability of favoured sugar-source blossoms. Malar J. 2012 Feb 1;11:31. doi: 10.1186/1475-2875-11-31.
- Marshall JM, White MT, Ghani AC, Schlein Y, Muller GC, Beier JC. Quantifying the mosquito's sweet tooth: modelling the effectiveness of attractive toxic sugar baits (ATSB) for malaria vector control. Malar J. 2013 Aug 23;12:291. doi: 10.1186/1475-2875-12-291.
- Gimnig JE, Walker ED, Otieno P, Kosgei J, Olang G, Ombok M, Williamson J, Marwanga D, Abong'o D, Desai M, Kariuki S, Hamel MJ, Lobo NF, Vulule J, Bayoh MN. Incidence of malaria among mosquito collectors conducting human landing catches in western Kenya. Am J Trop Med Hyg. 2013 Feb;88(2):301-8. doi: 10.4269/ajtmh.2012.12-0209. Epub 2012 Dec 18.
- Attractive Targeted Sugar Bait Phase III Trial Group. Attractive targeted sugar bait phase III trials in Kenya, Mali, and Zambia. Trials. 2022 Aug 9;23(1):640. doi: 10.1186/s13063-022-06555-8.
- Protopopoff N, Mosha JF, Lukole E, Charlwood JD, Wright A, Mwalimu CD, Manjurano A, Mosha FW, Kisinza W, Kleinschmidt I, Rowland M. Effectiveness of a long-lasting piperonyl butoxide-treated insecticidal net and indoor residual spray interventions, separately and together, against malaria transmitted by pyrethroid-resistant mosquitoes: a cluster, randomised controlled, two-by-two factorial design trial. Lancet. 2018 Apr 21;391(10130):1577-1588. doi: 10.1016/S0140-6736(18)30427-6. Epub 2018 Apr 11.
- Traore MM, Junnila A, Traore SF, Doumbia S, Revay EE, Kravchenko VD, Schlein Y, Arheart KL, Gergely P, Xue RD, Hausmann A, Beck R, Prozorov A, Diarra RA, Kone AS, Majambere S, Bradley J, Vontas J, Beier JC, Muller GC. Large-scale field trial of attractive toxic sugar baits (ATSB) for the control of malaria vector mosquitoes in Mali, West Africa. Malar J. 2020 Feb 14;19(1):72. doi: 10.1186/s12936-020-3132-0.
- Fiorenzano JM, Koehler PG, Xue RD. Attractive Toxic Sugar Bait (ATSB) For Control of Mosquitoes and Its Impact on Non-Target Organisms: A Review. Int J Environ Res Public Health. 2017 Apr 10;14(4):398. doi: 10.3390/ijerph14040398.
- Pocock SJ. When (not) to stop a clinical trial for benefit. JAMA. 2005 Nov 2;294(17):2228-30. doi: 10.1001/jama.294.17.2228. No abstract available.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
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
- 21-027
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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