The role of AI in Enhancing Disease Surveillance and Outbreak Response in Developing Countries

Abstract

This paper examines the potential of AI in enhancing disease surveillance and outbreak response in developing countries. Through a comprehensive literature review, the study assesses the current state of AI applications, identifies challenges and opportunities, and proposes an implementation framework. Findings reveal that AI technologies offer significant advantages in speed, accuracy, and predictive capabilities for disease surveillance. However, challenges such as data quality issues, infrastructure limitations, and ethical concerns persist. The study proposes a framework emphasizing robust data systems, ethical guidelines, and collaborative approaches for effective AI integration. Recommendations include investing in AI infrastructure and capacity building, developing context-specific AI solutions, and fostering international partnerships. The paper concludes that while AI holds immense potential for improving public health surveillance in developing countries, success requires sustained commitment, ethical considerations, and adaptive strategies.