ITIKI Drought Prediction Tool
Information Technology and Indigenous Knowledge with Intelligence
ITIKI Drought Prediction Tool
Information Technology and Indigenous Knowledge with Intelligence
Our Partners
Microsoft Africa Research Institute (MARI)
We’d like to extend an invitation to you for Microsoft Africa Research Institute (MARI) Seminar this month with our guest speaker Prof Muthoni Masinde, a Professor and the Head of the IT Department at the Central University of Technology, Free State (South Africa).
Topic: A Prediction Model for Malaria using an Ensemble of Machine Learning and Hydrological Drought Indices.
Abstract: Literature is awash with evidence that points to climate change as one of the reasons for the upward increase in infectious disease outbreaks around the globe. With the advancement in Artificial Intelligence (AI) and big climate data, accurate analysis of medical and climate data allows prediction and early detection of infectious diseases associated with climate change. The effectiveness of AI and drought indices in predicting oncoming droughts has been demonstrated elsewhere in research, this has however not been explored in the prediction of infectious diseases. We present a model that uses machine learning to predict the outbreak of infectious diseases using two drought indices and historical incidents of malaria in Limpopo (South Africa). Having achieved up to 99% prediction accuracies, we demonstrate that such a model equips stakeholders with a new perspective when it comes to prediction of infectious diseases’ outbreaks that are associated with extreme climate variations.
When: 24th August 2022 from 3:00PM – 4:00PM EAT
Where: Online