🔬 AI-Driven Epidemiological Surveillance: Strengthening the Future of Infectious Disease Preparedness
How can artificial intelligence help identify emerging infectious disease threats before they become widespread outbreaks?
At Infectious 2027 – 2nd World Conference on Infectious Diseases & Antimicrobial Resistance, this important question will be explored through the presentation:
📌 “AI-driven epidemiological surveillance and early warning systems for emerging infectious diseases”
👨🔬 Speaker: Xiequn Chen
🏛️ Northwest University, China
The presentation examines how Artificial Intelligence and Machine Learning can transform real-time epidemiological surveillance by analyzing diverse data sources, including clinical reports, environmental factors, and global mobility patterns. These approaches can help identify potential transmission hotspots earlier and support faster, evidence-based public health responses.
🌍 Why this topic matters
Emerging and re-emerging infectious pathogens continue to challenge global health systems. AI-powered surveillance and predictive analytics offer new opportunities to strengthen outbreak detection, improve preparedness, and support policymakers and healthcare professionals in responding to future pandemic threats.
✨ Infectious 2027 Theme: “Harnessing Digital Health: Innovations in Infectious Disease Surveillance and Management”
📅 March 11–13, 2027
📍 Village Hotel Changi, Singapore & Online
1 Netheravon Rd, Singapore 508502
Join researchers, clinicians, epidemiologists, public health professionals, healthcare innovators, and global experts to exchange knowledge and explore emerging solutions in infectious disease prevention, surveillance, and management.
📢 Be part of the conversation shaping the future of infectious disease surveillance.
🔗 Scientific Program: View the AI-driven epidemiological surveillance presentation
🔗 Conference Website: Infectious 2027
Abstract Submission: https://infectious-conference.com/abstract-submission
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