  Artificial Intelligence (AI) is revolutionizing various fields, including
public health surveillance. In Africa, where health systems frequently
encounter challenges such as limited resources, inadequate infrastructure,
failed health information systems and a shortage of skilled health
professionals, AI offers a transformative opportunity. This paper investigates
the applications of AI in public health surveillance across the continent,
presenting successful case studies and examining the benefits, opportunities,
and challenges of implementing AI technologies in African healthcare settings.
Our paper highlights AI's potential to enhance disease monitoring and health
outcomes, and support effective public health interventions. The findings
presented in the paper demonstrate that AI can significantly improve the
accuracy and timeliness of disease detection and prediction, optimize resource
allocation, and facilitate targeted public health strategies. Additionally, our
paper identified key barriers to the widespread adoption of AI in African
public health systems and proposed actionable recommendations to overcome these
challenges.
