LEVERAGING BIG DATA AND AI FOR EPIDEMIOLOGY: ASSESSING THE IMPACT OF HEALTH INFORMATICS THROUGH MULTISECTORAL COLLABORATION, COORDINATION, AND PANDEMIC KNOWLEDGE BASE IN SUB-SAHARAN AFRICA

This paper examines the transformative potential of big data analytics and artificial intelligence (AI) in addressing epidemiological challenges in Sub-Saharan Africa. The region faces distinct health issues, including a high burden of infectious diseases and limited healthcare infrastructure, making the application of advanced technologies critical. By integrating diverse data sources and employing AI techniques, such as machine learning, real-time insights into disease dynamics can be achieved. Multisectoral collaboration is necessary to establish effective data-sharing frameworks and capacity-building initiatives. The creation of a centralized pandemic knowledge base will inform targeted interventions and resource allocation. These efforts aim to strengthen disease surveillance, enhance response strategies, and improve overall public health outcomes in the region.