I am a junior researcher, working under the supervision of world-class, research-active scientists at MLW and LSTM. I have a strong academic background in using Geographical Information Systems within an environmental context, achieving a merit in Natural Resource Management at Lilongwe University of Agriculture and Natural Resources.
My current activities focus on using innovative geospatial tools and statistical modelling techniques to help provide a coherent understanding of malaria transmission risk. Despite increased efforts by the Malawi Ministry of Health and partners to eliminate malaria disease, malaria remains a significant burden to public health, with poorer communities disproportionately bearing the largest burden of infection. My research seeks to determine how well we can use remotely sensed data at different time points during the year to identify mosquito larval habitats and use this information to explain variability in malaria risk.
The inclusion of numerous techniques such as geospatial analytical tools and targeted interventions is critical to effective malaria control strategies. GIS and remote sensing offer a revolutionary approach to mapping and modeling the suitability of mosquito malaria vectors at fine temporal scales and geographical boundaries. This has motivated me to pursue a career in spatial epidemiology, particularly, mapping of malaria vector suitability and ecological niche profile for specific geographies in Malawi.
I have pursued several positions that have allowed me to strengthen my GIS skills by applying them to a range of topics as demonstrated at https://rpubs.com/Clinty. This has provided me with transferable skills that would be valuable to my future plans of mapping dominant malaria vectors habitat and fundamental niche in Malawi to aid with subsequent spatially targeted intervention efforts for malaria mitigation.
As a Malawian, I have firsthand experience in the impact that diseases such as malaria can have on rural communities, and I would therefore like to apply my skills to this important research area and provide information that can be used to guide future vector control activities.
Project title: Identifying Mosquito Larval Habitat using Remotely Sensed Data: a step towards better surveillance and control of malaria vectors.
Dr. Michelle Stanton, Liverpool School of Tropical Medicine
Dr. Chris Jones, Liverpool School of Tropical Medicine
Dr. Anja Terlouw, Malawi-Liverpool-Wellcome Clinical Research Programme