Spatial Repellents for the Prevention of Malaria in Kenya

Malaria Clinical Trial

— AEGIS Kenya  

Official title:

A Cluster Randomized Trial of the Efficacy of a Spatial Repellent (the Envelope) on Plasmodium Falciparum Malaria Incidence as Measured by Time to First Infection in Western Kenya

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04766879
• Other study ID #: 19-08-5506
• Status: Completed
• Phase: N/A
• Start date: March 2, 2021
• Est. completion date: December 9, 2023

Study information

• Verified date: April 2024
• Source: University of Notre Dame
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

Spatial repellents are chemical-based devices that when placed in a room, make that room non-conducive for mosquitoes. These tools can be used to help in the fight against vector borne diseases such as malaria and dengue. However, their efficacy in reducing mosquito biting and therefore malaria transmission has never been evaluated in Africa. This study will evaluate the efficacy of a spatial repellent in reducing mosquito biting on human beings and measure the impact any reduced biting will have on malaria transmission. The investigators will recruit and follow-up 5,984 children between 6 months and <10 years of age in Busia County to determine how many times they will be infected with malaria in villages where the investigators will have distributed spatial repellents and compare the rate of infection to villages where the investigators will not have distributed the repellent devices. Additionally, the investigators will measure whether the distribution of spatial repellents in one village will drive mosquitoes to their neighboring houses thereby increasing malaria transmission in those areas. The children participating in the study will be divided into 3 groups (cohorts). The first group will be followed up during the first 4 months before any intervention is distributed and the purpose here will be to determine that the villages are comparable. After this, the investigators will recruit the next group of participants and follow them up for 1 year and repeat this again for another year. During the follow-up, the children will be asked to come to the health facility where they will be tested for malaria using RDT or blood slide for microscopy. Every two weeks, a member of the study team will come to the participant's house and ask them if they had any history of fever. If the participants had fever, they will be tested for malaria. All children who turn out to be positive for malaria by RDT will be treated free of charge. At the same time, the investigators shall also perform mosquito collections to determine the impact of spatial repellents on the density of Anopheles mosquitoes.

Description:

Spatial repellents (SRs) have been widely used for the prevention of mosquito bites but their protective efficacy (PE) in reducing mosquito-borne diseases has never been evaluated in Africa. To address this knowledge gap, western Kenya was selected as a site to estimate the impact of a transfluthrin-based spatial repellent on malaria-related outcomes in Busia County, where baseline malaria transmission ranges from 2.5 to 4.1 new infections per person per year. A total of 5,984 children between 6 months and <10 years of age will be enrolled in three separate cohorts (baseline, cohort 1 and cohort 2). A total of 2,040 children from among 60 clusters will be enrolled for a four-month baseline prior to placement of the SR intervention. After baseline, a total of 1,972 participants from among 58 clusters, will be enrolled into cohort 1 and followed for one year. Cohort 2, consisting of a total of 1,972 children, will be enrolled from among 58 clusters to provide a total of two years of follow up. Children who have been selected for inclusion in the baseline cohort will be eligible for selection to cohort 1 or 2 but not both. Cohort 1 and Cohort 2 during intervention will be split into two groups, one to estimate the direct effect of the SR (total of 1,624 children, 812 per follow up year) and a second to estimate the degree of diversion (or mass effect) of mosquitoes and malaria transmission from persons protected by the SR to persons who are unprotected (total of 2,320 children, 1,160 per follow up year). All cohorts will be followed once every two weeks with finger prick blood samples taken once every 4 weeks to test for malaria or whenever a participant reports a recent (within 48 hours) history of fever. The incidence of malaria in the baseline cohort will be used to validate underlying assumptions prior to intervention. The incidence of malaria in each cohort followed with intervention will be estimated and compared to determine the benefit of using an SR in an area with high, year-round transmission of malaria. Monthly collections of mosquitoes using CDC light traps will be conducted to determine if there are entomological correlates of SR efficacy that may be useful for the evaluation of new SR products. Quarterly human landing catches will be done to assess the behavioral effects of the SR. The primary hypothesis on PE against the first-time malaria infection will be estimated by comparing the hazard rates of first-time malaria infection between SR and placebo upon the completion of the study in the ITT population.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 5984
• Est. completion date: December 9, 2023
• Est. primary completion date: October 23, 2023
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 6 Months to 10 Years

Eligibility

Inclusion Criteria:

• Children aged 6 months to <10 years
• Hb > 5mg/dl
• Sleeps in cluster >90% of nights during any given month
• No plans for extended travel (>1month) outside of home during study
• Not participating in another clinical trial investigating a vaccine, drug, medical device, or a medical procedure during the Trial
• Provision of informed consent form signed by the parent(s) or guardian
• Children not on regular malaria prophylaxis° such as Proguanil
• Willingness to take AL and no history of hypersensitivity to AL

Exclusion Criteria:

• Children < 6 months or = 10 years
• Hb = 5 mg/dL, or Hb < 6mg/dL with signs of clinical decompensation
• Sleeps in cluster <90% of nights during any given month
• Plans for extended travel (>1month) outside of home during study
• Participating or planned participation in another clinical trial investigating a vaccine, drug, medical device, or a medical procedure during the trial
• No provision of informed consent form signed by the parent(s) or guardian
• Children on regular malaria prophylaxis° such as Proguanil
• Unwillingness or refusal to take AL and history of AL hypersensitivity
• Other malaria prophylaxis medicines: Mefloquine, Atavaquone/Proguanil (Malarone), Doxycycline, Tafenoquine, Sulfadoxine-Pyrimethamine (Fansidar), Amodiaquine and Co-trimoxazole (Septrin)

Related Conditions & MeSH terms

• Malaria

Intervention

Device:
• Transfluthrin
Passive emanator with formulated transfluthrin
• Placebo
Passive emanator with formulated inert ingredients

Locations

Country	Name	City	State
Kenya	Centers for Disease Control and Prevention	Busia	Busia County
Kenya	Kenya Medical Research Institute (KEMRI)	Busia	Busia County

Sponsors (5)

Lead Sponsor	Collaborator
University of Notre Dame	Centers for Disease Control and Prevention, fhiClinical, Kenya Medical Research Institute, SC Johnson, A Family Company

Country where clinical trial is conducted

Kenya, 

References & Publications (10)

Achee NL, Bangs MJ, Farlow R, Killeen GF, Lindsay S, Logan JG, Moore SJ, Rowland M, Sweeney K, Torr SJ, Zwiebel LJ, Grieco JP. Spatial repellents: from discovery and development to evidence-based validation. Malar J. 2012 May 14;11:164. doi: 10.1186/1475-2875-11-164. — View Citation

Hamel MJ, Adazu K, Obor D, Sewe M, Vulule J, Williamson JM, Slutsker L, Feikin DR, Laserson KF. A reversal in reductions of child mortality in western Kenya, 2003-2009. Am J Trop Med Hyg. 2011 Oct;85(4):597-605. doi: 10.4269/ajtmh.2011.10-0678. — View Citation

Hill N, Zhou HN, Wang P, Guo X, Carneiro I, Moore SJ. A household randomized, controlled trial of the efficacy of 0.03% transfluthrin coils alone and in combination with long-lasting insecticidal nets on the incidence of Plasmodium falciparum and Plasmodium vivax malaria in Western Yunnan Province, China. Malar J. 2014 May 31;13:208. doi: 10.1186/1475-2875-13-208. — View Citation

Kawada H, Temu EA, Minjas JN, Matsumoto O, Iwasaki T, Takagi M. Field evaluation of spatial repellency of metofluthrin-impregnated plastic strips against Anopheles gambiae complex in Bagamoyo, coastal Tanzania. J Am Mosq Control Assoc. 2008 Sep;24(3):404-9. doi: 10.2987/5743.1. — View Citation

Lucas JR, Shono Y, Iwasaki T, Ishiwatari T, Spero N, Benzon G. U.S. laboratory and field trials of metofluthrin (SumiOne) emanators for reducing mosquito biting outdoors. J Am Mosq Control Assoc. 2007 Mar;23(1):47-54. doi: 10.2987/8756-971X(2007)23[47:ULAFTO]2.0.CO;2. — View Citation

Ogoma SB, Moore SJ, Maia MF. A systematic review of mosquito coils and passive emanators: defining recommendations for spatial repellency testing methodologies. Parasit Vectors. 2012 Dec 7;5:287. doi: 10.1186/1756-3305-5-287. — View Citation

Ogoma SB, Ngonyani H, Simfukwe ET, Mseka A, Moore J, Killeen GF. Spatial repellency of transfluthrin-treated hessian strips against laboratory-reared Anopheles arabiensis mosquitoes in a semi-field tunnel cage. Parasit Vectors. 2012 Mar 20;5:54. doi: 10.1186/1756-3305-5-54. — View Citation

Ogoma SB, Ngonyani H, Simfukwe ET, Mseka A, Moore J, Maia MF, Moore SJ, Lorenz LM. The mode of action of spatial repellents and their impact on vectorial capacity of Anopheles gambiae sensu stricto. PLoS One. 2014 Dec 8;9(12):e110433. doi: 10.1371/journal.pone.0110433. eCollection 2014. — View Citation

Syafruddin D, Bangs MJ, Sidik D, Elyazar I, Asih PB, Chan K, Nurleila S, Nixon C, Hendarto J, Wahid I, Ishak H, Bogh C, Grieco JP, Achee NL, Baird JK. Impact of a spatial repellent on malaria incidence in two villages in Sumba, Indonesia. Am J Trop Med Hyg. 2014 Dec;91(6):1079-87. doi: 10.4269/ajtmh.13-0735. Epub 2014 Oct 13. — View Citation

Zhou G, Afrane YA, Vardo-Zalik AM, Atieli H, Zhong D, Wamae P, Himeidan YE, Minakawa N, Githeko AK, Yan G. Changing patterns of malaria epidemiology between 2002 and 2010 in Western Kenya: the fall and rise of malaria. PLoS One. 2011;6(5):e20318. doi: 10.1371/journal.pone.0020318. Epub 2011 May 23. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	First-time malaria infection in core zones during intervention period.	Measured by microscopy in children aged between 6 months to 10 years.	12 months
Secondary	Overall new malaria infections in core zones during intervention period.	Measured by microscopy in children aged between 6 months to 10 years.	12 months
Secondary	Overall new malaria infections in buffer zones during intervention period.	Measured by microscopy in children aged between 6 months to 10 years.	12 months
Secondary	Parasite-species-specific first-time malaria infections in the core zones.	Measured by microscopy in children aged between 6 months to 10 years.	12 months
Secondary	Parasite-species-specific overall malaria infections in the core zones.	Measured by microscopy in children aged between 6 months to 10 years.	12 months
Secondary	The first-time malaria infections in buffer zones during intervention period.	Measured by microscopy in children aged between 6 months to 10 years.	12 months
Secondary	The first time malaria infections by two age groups (= 59 months old; 5 years to 10 years old).	Measured by microscopy in children aged between 6 months to 10 years.	12 months
Secondary	Overall malaria infections by two age groups (= 59 months old; 5 years to 10 years old).	Measured by microscopy in children aged between 6 months to 10 years.	12 months
Secondary	Anopheline-human contact (indoor and outdoor) using human biting rate (HBR) as an indicator for all anophelines and by anopheline species.	Measured by human-landing catch (HLC) during 12-h intervals on a quarterly basis during intervention period.	12 months
Secondary	Anopheline parity rate as an indicator of population age structure for all anophelines and by anopheline species.	Measured by mosquito ovarian dissections from a sub-sample of anophelines collected during HLC procedures during intervention period.	12 months
Secondary	Anopheline infectivity using sporozoite rate as an indicator for all anophelines and by anopheline species.	Measured by laboratory detection of sporozoites in mosquito head-preps from a sub-sample of anophelines collected during HLC and/or CDC-light trap procedures during intervention period.	12 months
Secondary	Anopheline infectivity using EIR as an indicator for all anophelines and by anopheline species.	Measured by calculating the number of sporozoite-infected anopheline mosquitoes captured per person during intervention period from HLC and/or CDC-light trap procedures.	12 months
Secondary	CDC-light trap indoor density for all anophelines and by anopheline species.	Measured by CDC-light trap collections during 12-h intervals on a monthly basis during intervention period.	12 months
Secondary	Insecticide resistance.	Measured by WHO filter paper test and CDC bottle assays during baseline and intervention period.	28 months
Secondary	Adverse Events and Serious Adverse Events.	Measured by solicited and unsolicited reports during baseline and intervention period. Mean, minimum and maximum frequency and percentage of AEs and SAEs across clusters among enrolled subjects will be summarized by treatment arm.	28 months