Utilization of Modern Technology in Detecting and Preventing the Spread of Dengue Fever

Abstract

Dengue fever remains a significant global public health concern, with outbreaks causing severe morbidity and mortality. The utilization of modern technology has emerged as a critical approach in detecting and preventing the spread of the disease. This qualitative study explores the various technological advancements employed in the management of dengue fever. Key technologies such as Geographic Information Systems (GIS), remote sensing, Internet of Things (IoT), artificial intelligence (AI), and mobile applications are increasingly being integrated into public health practices to enhance early detection, monitoring, and vector control. Through interviews with experts and case studies from regions highly affected by dengue, this research identifies the strengths, limitations, and potential improvements in current technological approaches. The findings highlight that while technological innovations offer significant promise in controlling dengue fever, challenges related to infrastructure, data accuracy, and public acceptance remain prevalent. Furthermore, the integration of these technologies into existing healthcare systems requires collaboration among various stakeholders, including governments, health organizations, and local communities. The study concludes by recommending strategies for optimizing the use of modern technology in dengue fever management, emphasizing the need for continuous research, cross-sector partnerships, and public awareness to maximize the impact of these interventions.