Lawrence Adipo
Data Manager
Lawrence is a data manager and researcher with strong data leadership, a solid foundation in public health, and a keen analytical mindset. His expertise spans data governance and security, data quality management, data analytics and visualisation, database management systems, and cloud-based data storage and computing.
As a data manager at KEMRI Wellcome Trust, he developed a Cox regression model to analyse the survival of mosquitoes fed on blood containing ivermectin, a vector-borne intervention used in malaria prevention. As a researcher within the Medicine Quality Research Group, his work involved using spatiotemporal modelling frameworks to estimate the prevalence of substandard and falsified medicines in low- and middle-income countries (LMICs).
Recent publications
The spatiotemporal distribution of substandard and falsified antimalarial medicines in Africa, 1996-2019
Preprint
Adipo LB. et al, (2025)
A novel framework for quantifying the clinical impact of substandard and falsified antimicrobials: application to typhoid fever
Preprint
Cavany S. et al, (2025)
Mosquitocidal efficacy and pharmacokinetics of single-dose ivermectin versus three-day dose regimen for malaria vector control compared with albendazole and no treatment: An open-label randomized controlled trial.
Journal article
Kamau Y. et al, (2024), Int J Infect Dis, 148
Xenomonitoring of Lymphatic filariasis and risk factors for transmission on the Kenyan coast
Preprint
Bartilol B. et al, (2024)
A field bioassay for assessing ivermectin bio-efficacy in wild malaria vectors.
Journal article
Ominde KM. et al, (2023), Malar J, 22