Abstract

Disease surveillance plays a pivotal role in public health, aiding in the early detection, monitoring, and response to various infectious and non-communicable diseases. In recent years, significant advancements in data collection, analysis, and technology have revolutionized disease surveillance systems worldwide. This research article explores the evolving landscape of disease surveillance, highlighting key developments, challenges, and future prospects in the field. We delve into the integration of artificial intelligence, big data analytics, and digital health tools, emphasizing their crucial role in enhancing disease surveillance efforts. Additionally, we discuss the importance of international collaboration and data sharing to combat global health threats effectively. By examining these trends, we aim to provide insights into the potential of modern disease surveillance in preventing and mitigating outbreaks, ultimately contributing to improved public health outcomes.