My research involves using mathematical models in order to better estimate the burden of malaria and to understand the likely impact of interventions upon this burden, including those that reduce transmission towards elimination.
A strong focus of my work involves collaborating with the World Health Organisation and the Malaria in Pregnancy consortium to better capture the contribution of the negative effects of malaria upon pregnant women and their babies to the wider global burden of malaria.
I also would like to better understand how data collected routinely by malaria programmes can be optimally integrated within decision-making. A current focus in this area involves antenatal care (ANC)-based surveillance: harnessing data collected from women attending ANC to more accurately capture malaria endemicity, burden and intervention uptake.
Recently, working within the Imperial Covid-19 response team, I have helped to lead work trying to better understand the global impact of the pandemic.
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., 2021, The potential impact of intervention strategies on COVID-19 transmission in Malawi: a mathematical modelling study, Bmj Open, Vol:11, ISSN:2044-6055
et al., 2021, Health inequities and clustering of fever, acute respiratory infection, diarrhoea and wasting in children under five in low- and middle-income countries: a Demographic and Health Surveys analysis, Bmc Medicine, Vol:19, ISSN:1741-7015
et al., 2021, Using syndromic measures of mortality to capture the dynamics of COVID-19 in Java, Indonesia in the context of vaccination roll-out, Bmc Medicine, Vol:19, ISSN:1741-7015
et al., 2021, Modelling ICU capacity under different epidemiological scenarios of the COVID-19 pandemic in three western European countries, International Journal of Epidemiology, Vol:50, ISSN:0300-5771, Pages:753-767
et al., 2021, Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil, Science, Vol:372, ISSN:0036-8075, Pages:815-821