The utility of artificial intelligence in the management of dengue fever: a perspective on future directions.

Abstract

Dengue fever remains a significant public health challenge, particularly in tropical and subtropical regions. With millions affected each year and the increasing prevalence of the disease due to urbanisation and climate change, effective management strategies are crucial. The incorporation of artificial intelligence (AI) in healthcare presents transformative possibilities for the management of dengue fever. AI-driven systems can improve disease surveillance by analyzing extensive volumes of epidemiological, environmental, and socio-behavioral data to identify early warning indicators and forecast outbreak trends. Enhanced diagnostic instruments driven by AI algorithms can expedite and refine case identification, especially in resource-constrained environments. Moreover, AI can enhance targeted vector control tactics by pinpointing high-risk areas and optimizing the implementation of preventive measures. AI can optimize resource allocation in healthcare institutions. These applications have the potential to substantially alleviate the burden of dengue fever, enhance patient outcomes, and fortify health system resilience. As AI technologies progress, their influence in public health is expected to grow, facilitating creative, data-driven strategies that correspond with the United Nations Sustainable Development Goals (SDGs) to enhance global health equity and disease prevention. Continued research, collaboration, and community engagement will be crucial to realising the full potential of AI in addressing this pressing public health challenge.