A pioneering study by researchers at the United Arab Emirates University (UAEU), in collaboration with the Indian Institute of Technology Madras Zanzibar campus, has introduced a novel data-driven framework for modelling malaria transmission dynamics.

Published in the prestigious journal Scientific Reports by Nature, the research marks a major advancement in global health modelling through the integration of artificial intelligence (AI) and mathematical epidemiology.

The paper, titled “Analysis of a Mathematical Model for Malaria Using a Data-Driven Approach”, presents an innovative method for predicting malaria outbreaks by incorporating temperature- and altitude-dependent variables into compartmental disease models. This approach allows for more realistic simulations of malaria transmission, particularly in vulnerable and climate-sensitive regions.