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Workshop 1. Hospital Outbreaks and HAI Surveillance
Date and time: Tuesday, 10 November, 09:00-12:00
Effective surveillance of hospital-acquired infections (HAIs) is essential for early detection, control, and prevention of outbreaks within healthcare settings. Robust HAI systems integrate real-time data collection, laboratory confirmation, standardized case definitions, and rapid response protocols to minimize transmission risk and protect vulnerable patients. Strengthening surveillance capacity also supports antimicrobial stewardship, improves patient outcomes, and enhances hospital preparedness for emerging pathogens. This workshop envisages an interactive session with presentations, group work and case studies related to the topic.
Learning Objectives:
- Understand the principles and components of HAI surveillance systems.
- Identify early warning signs and indicators of hospital outbreaks.
- Describe methods for investigating and responding to HAIs.
- Evaluate strategies to strengthen infection prevention and control practices in healthcare facilities.
Workshop 2. Wastewater Environmental Surveillance for Control of Infectious Diseases
Date and time: Tuesday, 10 November, 09:00-12:00
Wastewater surveillance has emerged as a powerful population-level monitoring tool that detects viral, bacterial, and antimicrobial-resistant pathogens shed into the environment, often before clinical cases rise. By capturing community-wide signals—including from asymptomatic individuals—this method supports early outbreak detection, trend tracking, and targeted public-health interventions. Wastewater monitoring complements traditional surveillance and enhances preparedness for pandemics, enteric diseases, and emerging threats. This workshop envisages an interactive session with presentations, group work and case studies related to the topic.
Learning Objectives:
- Explain the scientific basis and public-health value of wastewater surveillance.
- Describe sampling, testing, and data-analysis techniques used in environmental monitoring.
- Interpret wastewater findings to support outbreak prediction and response.
- Assess challenges and opportunities for integrating wastewater data into routine surveillance systems.
Workshop 3. Artificial Intelligence and Big Data in Infectious Diseases
Date and time: Tuesday, 10 November, 13:00-17:00
Artificial intelligence (AI) and big data analytics are transforming infectious-disease surveillance, prediction, diagnosis, and response by enabling rapid analysis of large, complex datasets. AI tools can detect outbreak signals earlier, improve clinical diagnostic accuracy, optimize resource allocation, and support decision-making in real time. As digital data sources expand—from electronic health records to genomics and mobility data—ethical, transparent, and equitable use of AI becomes essential to maximize public-health benefit. This workshop envisages an interactive session with presentations, group work and case studies related to the topic.
Learning Objectives:
- Describe how AI and big data are applied in infectious-disease detection and response.
- Identify data sources and analytical techniques used in AI-driven public-health systems.
- Evaluate the strengths and limitations of AI tools in outbreak prediction and clinical care.
- Discuss ethical, equity, and governance considerations in the use of AI for public health.