Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Kenya Medical Research Institute | OTHER |
| Centers for Disease Control and Prevention | FED |
| PATH | OTHER |
| Kenya Ministry of Health |
Not provided
Not provided
Not provided
Not provided
The effectiveness of long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) in western Kenya are threatened by insecticide resistance and vector behaviour changes toward early evening and outdoor biting malaria vectors. New tools to control malaria are needed to reduce and even interrupt malaria transmission. Attractive Targeted Sugar Bait (ATSB) is a promising new intervention designed to attract and kill mosquitoes, including those that IRS and LLINs do not effectively target. The 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 western Mali showed that ATSBs successfully reduce mosquito densities and longevity and thus have the potential to reduce malaria transmission. In Kenya, the investigators will conduct an open-label cluster-randomized controlled trial in 80 village clusters (40 per arm) to evaluate the effect of ATSBs on the burden of malaria. During two years, households in half of these village clusters will receive two or three ATSB bait stations per household structure on exterior walls approximately 1.8 meters above the ground. ATSBs will be replaced every six months. The primary outcome will be the incidence of clinical malaria in children aged 1-<15 years enrolled in a prospective cohort followed monthly for about six months each during a 2-year period. Secondary outcomes include malaria infection prevalence assessed by rapid diagnostic tests through household surveys and the case burden of clinical malaria assessed by passive facility-based and community-based surveillance. The study includes entomological monitoring and nested acceptability, feasibility, and health economics studies. The stand-alone trial in western Kenya is a part of a multi-country ATSB consortium conducting similar trials in Zambia and Mali.
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.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Attractive Targeted Sugar Bait (ATSB) | Experimental | 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. |
|
| Control | No Intervention | Clusters within the control arm will not receive ATSBs. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Attractive Targeted Sugar Bait (ATSB) | Device | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Clinical malaria | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Time to first malaria infection by PCR | 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) |
Not provided
Eligibility criteria for clusters: Inclusion criteria
Eligibility criteria for clusters: Exclusion criteria
Eligibility criteria for participants in the cohort study: Inclusion criteria
Eligibility criteria for participants in the cohort study: Exclusion criteria
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
Eligibility criteria for households for entomological monitoring: Inclusion criteria
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
Eligibility criteria for human landing catches: Exclusion criteria
Eligibility criteria for participants in rapid ethnographic methods evaluation (community members): Inclusion criteria
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
Eligibility criteria for participants in rapid ethnographic methods evaluation (ATSB monitoring assistants): Exclusion criteria
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Aaron Samuels, MD, MHS | Centers for Disease Control and Prevention | Principal Investigator |
| Eric Ochomo | Kenya Medical Research Institute | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Naya Health Centre | Siaya | Siaya County | 20200 | Kenya | ||
| Benga Dispensary |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 23396849 | Background | 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. | |
| 22541138 |
Not provided
Not provided
The full protocol will be available on request to any interested professional and may be published in a peer-reviewed journal or deposited in an online repository. Individual, de-identified participant data will be made available for meta-analyses as soon as the data analysis is completed, with the understanding that the meta-analysis results will not be published before the individual trial results without the prior agreement of the investigators. The de-identified data set of the complete participant-level data will be available for sharing purposes, such as via the WWARN repository platform (http://www.wwarn.org/working-together/sharing-data/accessing-data). A Data Access Committee will consider all requests for data for secondary analysis to ensure that the use of data is within the terms of consent and ethics approval.
The full protocol and SAP will be published within the next 2 years. The individual de-identified data when data analysis is completed, within 6 months of trial completion.
A Data Access Committee will consider all requests for data for secondary analysis to ensure that the use of data is within the terms of consent and ethics approval.
Not provided
Not provided
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | May 31, 2021 | Jul 15, 2021 | Prot_000.pdf |
| SAP | No | Yes | No | Statistical Analysis Plan | Mar 8, 2021 | Jul 15, 2021 | SAP_001.pdf |
Not provided
| ID | Term |
|---|---|
| D008288 | Malaria |
| ID | Term |
|---|---|
| D011528 | Protozoan Infections |
| D010272 | Parasitic Diseases |
| D007239 | Infections |
| D000096724 | Mosquito-Borne Diseases |
Not provided
Not provided
| OTHER_GOV |
Using restricted randomization criteria, eighty clusters will be randomized 1:1 to either the intervention arm (ATSBs deployed throughout the cluster) or the control arm. The clusters will be followed in parallel for two years. In year one the first and second cohort were enrolled and followed up over 6 months each. In year 2, the third cohort was enrolled and followed up over 1 year.
Not provided
Not provided
Not provided
Not provided
|
|
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) | The prevalence of malaria infection detected by RDT (pLDH) in cross-sectional household surveys | Two years |
| Incidence of malaria illness (passive surveillance) | 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) | 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) | The incidence rate of non-malaria illness assessed by health-facility and community-based surveillance | Two years |
| Prevalence of non-malaria illness | The prevalence of non-malaria illness in cross-sectional household surveys | Two years |
| Malaria vector density | Entomological outcome: Malaria vector densities | Two years |
| Proportion of female anopheles mosquitoes older than three gonotrophic cycles, | Entomological outcome: The proportion of female anopheles mosquitoes older than three gonotrophic cycles. | Two years |
| Sporozoite rate | Entomological outcomes: Sporozoite rate | Two years |
| Entomological Inoculation Rate (EIR) | Entomological outcome: Entomological Inoculation Rate (EIR) | Two years |
| Non-Target Organisms (NTOs) attracted to ATSBs | Entomological outcome: Proportion of monitoring visits where NTOs were observed on bait stations | Two years |
| Markers of insecticide resistance (dinotefuran) | Entomological outcome: Proportion of mosquitoes with resistance to dinotefuran among total mosquitoes collected in 4 WHO mosquito tubes in the trial area | Two years |
| Markers of insecticide resistance (permethrin) | Entomological outcome: Proportion of mosquitoes with resistance to permethrin among total mosquitoes collected in 4 WHO mosquito tubes in the trial area | Two years |
| Markers of insecticide resistance (deltamethrin) | 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 | Antibody concentration against merozoite surface protein-1 (MSP-1) among cohort participants | Two years |
| Antibody concentrations against malaria antigen CSP | Antibody concentration against circumsporozoite proteins (CSP) among cohort participants | Two years |
| Complexity of infection (COI) | The complexity of (malaria) infection assessed by molecular markers, including, but not limited to, 24-single-nucleotide polymorphisms (24-SNP) barcodes | Two years |
| Mosquito salivary antigens | Presence of mosquito salivary antigens in human blood as a measure for mosquito biting rates among cohort participants | Two years |
| AEs | Number of adverse events associated with misuse of ATSBs. | Two years |
| ATSB removal rate | The proportion of ATSBs that have been moved/removed | Two years |
| Perceptions of ATSBs | 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. | Two years |
| Household use of LLINs in the setting of ATSBs | The proportion of children aged 1-<15 years enrolled in a cohort study who used an LLIN the night prior | Two years |
| Household care seeking behavior in the setting of ATSBs | The proportion of children aged 1-<15 years enrolled in a cohort study who sought care for febrile illness | Two years |
| Cost-effectiveness | Incremental cost-effectiveness of ATSB above the standard of care measured through costing of intervention and efficacy outcomes | Two years |
| Siaya |
| Siaya County |
| Kenya |
| Boro Dispensary | Siaya | Siaya County | Kenya |
| Manyuanda Health Centre | Siaya | Siaya County | Kenya |
| Nyadhi Dispensary | Siaya | Siaya County | Kenya |
| Ong'ielo Model Health Centre | Siaya | Siaya County | Kenya |
| Rabar Dispensary | Siaya | Siaya County | Kenya |
| Rageng'ni Dispensary | Siaya | Siaya County | Kenya |
| Rambugu Dispensary | Siaya | Siaya County | Kenya |
| 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. |
| 25115830 | Background | 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. |
| 24678587 | Background | 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. |
| 25149656 | Background | Killeen GF. Characterizing, controlling and eliminating residual malaria transmission. Malar J. 2014 Aug 23;13:330. doi: 10.1186/1475-2875-13-330. |
| 28589023 | Background | 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. |
| 28673298 | Background | 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. |
| 32059671 | Background | 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. |
| 22297155 | Background | 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. |
| 28394284 | Background | 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. |
| 23968494 | Background | 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. |
| 16264167 | Background | 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. |
| 29655496 | Background | 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. |
| 23249685 | Background | 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. |
| 40570028 | Derived | Ogwang C, Samuels AM, McDermott DP, Kamau A, Lesosky M, Obiet K, Janssen JM, Odongo W, Gimnig JE, Gutman JR, Schultz JS, Towett O, Seda B, Chepkirui M, Muchoki M, Omondi S, Kosgei J, Polo B, Aduwo F, Otieno K, Donnelly MJ, Kariuki S, Ochomo E, Kuile FT, Staedke SG. Attractive targeted sugar baits for malaria control in western Kenya (ATSB-Kenya) - Effect of ATSBs on epidemiologic and entomologic indicators: A Phase III, open-label, cluster-randomised, controlled trial. PLOS Glob Public Health. 2025 Jun 26;5(6):e0004230. doi: 10.1371/journal.pgph.0004230. eCollection 2025. |
| 39736740 | Derived | Kamau A, Obiet K, Ogwang C, McDermott DP, Lesosky M, Janssen J, Odongo W, Gutman JR, Schultz JS, Nicholas W, Seda B, Chepkirui M, Aduwo F, Towett O, Otieno K, Donnelly MJ, Ochomo E, Kariuki S, Samuels AM, O Ter Kuile F, Staedke SG. Attractive targeted sugar baits for malaria control in western Kenya (ATSB-Kenya): enrolment characteristics of cohort children and households. Malar J. 2024 Dec 30;23(1):403. doi: 10.1186/s12936-024-05234-0. |
| 35945599 | Derived | 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. |
| D000079426 |
| Vector Borne Diseases |