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), International Journal of Infectious Diseases, 148, 107236 - 107236
Utility of MALDI-TOF MS for determination of species identity and blood meal sources of primary malaria vectors on the Kenyan coast
Journal article
Karisa J. et al, (2024), Wellcome Open Research, 8, 151 - 151
Xenomonitoring of Lymphatic filariasis and risk factors for transmission on the Kenyan coast
Preprint
Bartilol B. et al, (2024)