My research involves using mathematical models in order to better understand the likely impact of interventions upon malaria transmission and associated burden of disease. In particular my work has focused upon establishing the optimal packages of interventions to achieve various malaria elimination milestones across the wide range of transmission settings that exist across Africa. I also recently conducted a modelling analysis looking at the indirect impact of the Ebola epidemic in West Africa upon malaria morbidity and mortality.
I hold an MRC Population Health Scientist Fellowship in which my research focuses upon developing modelling tools which use epidemiological data in order to capture the impact of interventions upon transmission and to assess the incremental progress towards local elimination within a particular setting.
I also have a stong research focus looking at the effects of malaria during pregnancy. Working alongside the Malaria in Pregnancy Consortium this research involves attempting to better understand how these depend upon malaria transmission within the general population and to assess the effectiveness of different preventative strategies.
Before focusing my research on malaria, I completed my PhD, “Quantifying the effects of measures to control highly pathogenic avian influenza H5N1 in poultry in Southeast Asia”, under the supervision of Professor Azra Ghani and Dr Simon Cauchemez.
et al., 2018, Using ante-natal clinic prevalence data to monitor temporal changes in malaria incidence in a humanitarian setting in the Democratic Republic of Congo, Malaria Journal, Vol:17, ISSN:1475-2875
et al., 2018, Mathematical modelling of the impact of expanding levels of malaria control interventions on Plasmodium vivax, Nature Communications, Vol:9, ISSN:2041-1723
et al., 2018, Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting, Nature Communications, Vol:9, ISSN:2041-1723
et al., 2018, Prevention of malaria in pregnancy, Obstetrical and Gynecological Survey, Vol:73, ISSN:0029-7828, Pages:342-344