LASER Consortium
Work Packages
WP1: Scientific Leadership
Simon Kariuki
WP Co-lead
Eric Ochomo
WP Co-lead
Objectives: (i) to provide overall scientific leadership and oversight for the project; (ii) ensure all project activities are expertly carried out in Kenya, (iii) engage with Kenyan regulatory authorities, ethics boards, and key stakeholders, (iv) lead field activities in collaboration with work package leads and investigators
WP2: Coordination and Project management
Sarah Staedke
WP Lead
Benta Kamire
WP Support
Daniel McDermott
WP Support
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Martin Donnelly
WP Support
Objectives: (i) to provide effective project coordination and management of the consortium; (ii) ensure effective communication and collaboration within the consortium; (iii) oversee regulatory, ethical, financial, and reporting requirements; (iv) ensure successful delivery of project deliverables and milestones.
WP3: Epidemiology (cluster-randomised trial)
Sarah Staedke
WP Lead
Simon Kariuki
WP Support
Titus Kwambai
WP Support
Daniel McDermott
WP Support
Objectives: (i) to evaluate the impact of LASR (Guardianâ„¢) as compared to standard control, and the impact of IRS with pirimiphos-methyl as compared to standard control on epidemiological indicators (parasite prevalence, malaria incidence, prevalence of anaemia); (ii) Provide estimates of malaria incidence for the cost-effectiveness analyses (WP7)
WP4: Entomological indicators and resistance
Eric Ochomo
WP Lead
Benard Abong'o
WP Support
John Gimnig
WP Support
Rosemary Lees
WP Support
Objectives: (i) to assess entomological trial endpoints, based on the hypothesis that vector densities will be lower in clusters receiving the interventions, compared to control, (ii) to determine the most appropriate entomological endpoints for SR trials and future studies of second-in-class products; (iii) to develop phenotypic assays to monitor the impact of volatile transfluthrin on resistance; (iv) to conduct genotypic surveillance for insecticide resistance in the primary malaria vectors at baseline and during study follow-up to understand the impacts of resistance on trial outcomes and, conversely, the impact of the interventions on resistance evolution.
WP5: Impact of LASER on mosquito behaviour
Felix Hol
WP Lead
Teun Bousema
WP Support
Benard Abong'o
WP Support
Rosemary Lees
WP Support
Objectives: (i) to obtain a baseline measurement of the reduction in host finding, (ii) to understand the impact of LASER (Guardianâ„¢) on the 3D flight behaviour of An. gambiae and An. funestus, (iii) to assess the effect of LASER on biting and engorgement dynamics, (iv) to quantify differences in mosquito behaviour of pyrethroid-resistant and sensitive mosquitoes in response to LASR; (v) to quantify the impact of LASER on the fecundity of An. gambiae and An. funestus.
WP6: Medical anthropology on LASER and IRS
Koen Peeters
WP Lead
Fatou Jaiteh
WP Support
Prisca Oria
WP Support
Objectives: (i) to identify social and cultural factors contributing to the acceptability, adherence, and appropriateness of the LASER intervention, (ii) to assess the use and acceptance of other existing control measures, including IRS and LLINs and the malaria vaccine, (iii) to assess any changes in the uptake of other control measures in relation to the introduction of LASER; and, (v) to assess factors relevant to the potential scale-up of LASER.
WP7: Economic evaluation of LASER and IRS
Objectives: (i) to calculate the incremental cost-effectiveness of LASER versus standard control under trial conditions, (ii) to model the incremental cost-effectiveness of LASER versus IRS over standard control; (iii) to estimate the cost of scaling up LASER throughout Kenya and conduct a budget impact analysis.
Eve Worrall
WP Lead
Katie Snyman
WP Support
WP8: Data management and analysis
Daniel McDermott
WP Lead
Alice Kamau
WP Support
GHTU
WP Support
Objectives: (i) Develop a Data Management Plan (DMP) in line with the FAIR principles to ensure the highest standards of data security, privacy and GCP practices are integrated in the project; (ii) Set up databases and validated case report forms to allow for data collection in the community and the clinic; (iii) Produce a statistical analysis plan (SAP) outlining the predetermined analysis of the trial outcomes; (iv) Conduct ongoing data management of the data as it is collected in accordance to DMP and SAP and the final analysis of the study.
WP9: Communication and market access
Rosemary Lees
WP Lead
Brian Seda
WP Support
Titus Kwambai
WP Support
Objectives: (i) to develop and execute a plan for dissemination and exploitation of results, and communication activities (PDEC) and launch project website; (ii) co-create information, education and communication (IEC) and training materials to support the trial (link to trial WP); (iii) produce a policy impact and market access plan to specify how research evidence feeds into the policy and market access ecosystem.