Topic Editors

Department of Nursing, National and Kapodistrian University of Athens, 10679 Athens, Greece
1. Department of Hygiene and Environmental Protection, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
2. Infectious Diseases Service, Department of Medicine, Lausanne University Hospital, 46, 1011 Lausanne, Switzerland

Surveillance Systems and Predictive Analytics for Epidemics

Abstract submission deadline
31 October 2026
Manuscript submission deadline
31 January 2027
Viewed by
119

Topic Information

Dear Colleagues,

In an interconnected world where diseases can spread rapidly across borders, the ability to detect epidemics promptly is more critical than ever. The COVID-19 pandemic and other recent outbreaks have underscored that early detection can dramatically reduce the impact of an epidemic by enabling swift public health interventions. Modern digital surveillance systems harness advances in technology—ranging from real-time data collection to AI-driven analytics—to monitor emerging health threats worldwide and overcome delays and gaps inherent in traditional reporting. Predictive analytics, including machine learning models and big data approaches, offer a powerful means to anticipate outbreak trends and enhance preparedness, effectively turning surveillance into a proactive tool for response. Together, improved surveillance and predictive insights can significantly strengthen epidemic preparedness and guide more effective responses. Achieving these goals, however, requires broad collaboration across disciplines, including public health experts, epidemiologists, data scientists, and systems engineers, to integrate diverse expertise into robust systems for epidemic surveillance and predictive analytics. This multidisciplinary Topic encourages contributions from experts across these domains and beyond, aiming to foster innovative approaches for early epidemic detection and to improve our collective ability to respond to health crises and future outbreaks, ultimately strengthening global health security.

Dr. Georgia Kourlaba
Dr. Elisavet Stavropoulou
Topic Editors

Keywords

  • outbreak prediction
  • big data analytics
  • surveillance systems
  • machine learning in public health
  • public health preparedness
  • digital health monitoring

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Diseases
diseases
3.0 3.7 2013 22.7 Days CHF 1800 Submit
Epidemiologia
epidemiologia
2.2 4.3 2020 26.4 Days CHF 1400 Submit
Infectious Disease Reports
idr
2.4 6.0 2009 33.5 Days CHF 1800 Submit
Medicina
medicina
2.4 4.1 1920 17.5 Days CHF 2200 Submit
Tropical Medicine and Infectious Disease
tropicalmed
2.6 4.7 2016 20.6 Days CHF 2700 Submit

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