I completed my BSc in Biomedical Sciences from Lancaster University in 2013 and my MSc in the Control of Infectious Diseases at the London School of Hygiene and Tropical Medicine in 2014. I undertook my research project in Mexico in collaboration with the Universidad Autonoma de Yucatan and the CDC, where I conducted my fieldwork around the town of Merida and PCR assays in Atlanta to demonstrate the homogeneity in insecticide resistance in Aedes aegypti for the control of dengue fever.
Since then, I have worked with the Global Malaria Programme to establish the first global database of insecticide resistance in Anopheles vectors in 2015 and consulted for the Malaria Consortium on bed net use in Uganda before spending a year and a half in New Delhi, researching on antimicrobial resistance trends in the US and India with the Centre for Disease Dynamics, Economic and Policy (CDDEP). Research focused on the surveillance of antimicrobial resistance, infection control and healthcare epidemiology.
At LSTM, I am working with Catherine Moyes group at Oxford University on the malaria atlas project (https://map.ox.ac.uk/) to produce predictive resistance patterns between classes of insecticide used in malaria control. This has involved extracting both phenotypic and genotypic resistance data from publications and shared datasets, spanning four decades.
This has evolved into further work on the potential drivers of resistance and the establishment of an environmental pesticide database for Africa.
Whilst at LTSM, I have also been involved in the programme management activities of the Visceral leishmaniasis programme in India, including the implementation of the disease data management system for the monitoring and evaluation of IRS for leishmaniasis control in India. The Disease Data Management System (DDMS) is designed to support the monitoring and evaluation of entomology interventions which are necessary for efficient disease control. The DDMS is a central point for a range of relevant disease data including entomological, IRS, and quality assurance data.
The roll out of the DDMS has enhanced the routine abundance and susceptibility data collection across 8 sentinel sites spanning three states of India. This BMGF funded project is in collaboration with CARE India.