I am a postdoctoral researcher in infectious diseases and spatial analysis, involved in the SchistoTrack project in the Chami Group at the Big Data Institute. The project strives to improve the effectiveness of treatment for schistosomiasis in Uganda. In my role, I analyse spatiotemporal data collected within the project to contribute to the understanding of schistosomiasis epidemiology. Specifically, a key objective is to identify transmission focal points based on activities and contacts at water sites.
I completed my PhD in Mathematics of Systems at the University of Warwick. My doctoral thesis included research on malaria models and the effect of increasing realistic mosquito biology when evaluating interventions against the disease. Additionally, I contributed to models for lymphatic filariasis during a part-time research assistantship. Prior to my PhD, I successfully completed Part III of the Mathematical Tripos at the University of Cambridge and earned an MMath in Mathematics from the University of St Andrews.
Omitting age-dependent mosquito mortality in malaria models underestimates the effectiveness of insecticide-treated nets.
Iacovidou MA. et al, (2022), PLoS Comput Biol, 18
Omitting age-dependent mosquito mortality in malaria models underestimates the effectiveness of insecticide-treated nets
Iacovidou M. et al, (2021)