About this Research Topic
The COVID-19 pandemic has underscored the critical role of Artificial Intelligence (AI) in understanding, predicting, and managing global health crises. As nations grappled with unprecedented challenges, AI emerged as an indispensable tool, offering insights from data analytics, predictive modeling, and healthcare informatics. It facilitated real-time decision-making, optimized resource allocation, and enhanced disease surveillance. This transformative period witnessed AI's potential to reshape public health strategies, emphasizing its significance in future epidemic preparedness.
The primary objective of this research topic is to collate groundbreaking research and critical reviews that highlight AI's contributions during the COVID-19 era and its implications for future epidemic strategies. We aim to foster a comprehensive understanding of the pivotal AI-driven methodologies in the pandemic response and how these innovations can be harnessed for future health crises. By synthesizing lessons learned and charting the trajectory of AI and big data ecosystems in epidemic management, this issue seeks to provide a roadmap for integrating AI more seamlessly into global health strategies, ensuring that we are better equipped to tackle subsequent outbreaks with agility and precision.
The ambit of this Research Topic encompasses a broad spectrum of subjects pivotal to global health and epidemic strategy. The areas of interest comprise, but are not restricted to:
• AI-driven early warning mechanisms and risk evaluation;
• AI and big data ecosystems in advancing public health analytics and research;
• AI-enhanced resource distribution and strategic decision-making;
• AI's role in epidemiological monitoring and epidemic control;
• AI's application in crisis intervention and humanitarian assistance;
• AI's contribution to mental well-being and psychological aid during emergencies;
• AI's potential to ensure health parity and healthcare accessibility in underserved regions;
• The ethical, legal, and societal dimensions of AI's integration in global health and epidemic response;
• The synergy of AI with other digital health innovations during health crises.
The primary objective of this research topic is to collate groundbreaking research and critical reviews that highlight AI's contributions during the COVID-19 era and its implications for future epidemic strategies. We aim to foster a comprehensive understanding of the pivotal AI-driven methodologies in the pandemic response and how these innovations can be harnessed for future health crises. By synthesizing lessons learned and charting the trajectory of AI and big data ecosystems in epidemic management, this issue seeks to provide a roadmap for integrating AI more seamlessly into global health strategies, ensuring that we are better equipped to tackle subsequent outbreaks with agility and precision.
The ambit of this Research Topic encompasses a broad spectrum of subjects pivotal to global health and epidemic strategy. The areas of interest comprise, but are not restricted to:
• AI-driven early warning mechanisms and risk evaluation;
• AI and big data ecosystems in advancing public health analytics and research;
• AI-enhanced resource distribution and strategic decision-making;
• AI's role in epidemiological monitoring and epidemic control;
• AI's application in crisis intervention and humanitarian assistance;
• AI's contribution to mental well-being and psychological aid during emergencies;
• AI's potential to ensure health parity and healthcare accessibility in underserved regions;
• The ethical, legal, and societal dimensions of AI's integration in global health and epidemic response;
• The synergy of AI with other digital health innovations during health crises.
Keywords: Epidemiology, AI-driven Disease Surveillance, Outbreak Prediction, Artificial Intelligence, COVID-19, Epidemic Strategy, Predictive Modeling, Healthcare Informatics, Data Analytics, Public Health, Disease Surveillance
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
