Mussagy Mahomed

Programme: BMGF-MMALA Postgraduate Student

Proposed malaria research:
Geospatial and mathematical dynamic modelling analysis of malaria transmission and simulation of potential areas risk of the disease in Mozambique: under climate change scenarios

Study will be conducted, using secondary data from demographic and health surveys and routine surveillance systems that contain key malaria indicators and population projections. Geospatial and Mathematical modelling is proposed to analyse the spread of malaria, considering heterogeneous characteristics, climate change and human mobility. Mathematical modelling analysis will be performed, and numerical simulations will be obtained for optimization of several cost-effective interventions in different scenarios using a stratified risk map of malaria transmission.

Interests:
Geospatial, mathematical, and economic-epidemiological modelling of infectious disease, dynamics in complex system.

Home country: Mozambique