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Dates and Registration

The webinar "Wastewater-based Epidemiology - Yesterday, Today, Tomorrow" will provide experts from the water industry, health authorities and scientific institutions with a compact overview of the historical development and current status of wastewater-based epidemiology. Practical insights and a look at new technologies will show how relevant health data can be obtained from wastewater - and what role this information will play in the future for prevention, early warning and health protection.

 

Next date & registration:tbd.
Time:6:00 PM (CET)
Duration:60 minutes + Q&A session
Speaker:

Dr. Jiri Snaidr
(CEO and expert for wastewater early warning systems)

Dr. Daniela Wetzel
(Microbiologist and expert in molecular diagnostics)

Platform:Zoom Webinar

Aim of the Webinar

The webinar shows how wastewater can be used as a source of information in health monitoring - and what new requirements, opportunities and technical possibilities arise from this. Participants will gain insights into legal developments, concrete examples of implementation and forward-looking solutions within the AMELAG project and beyond.

Three focal points form the thematic framework:

  • LECTURE 1: Fundamentals, development and current status of wastewater-based epidemiology
    What is wastewater-based epidemiology? What role did it play in cholera, corona & co An overview of historical milestones, current challenges and the status in Germany and Europe. (Dr. Jiri Snaidr)
     
  • LECTURE 2: Wastewater-based epidemiology in practice - samples, parameters, challenges
    How does wastewater-based epidemiology work in everyday life? From sampling to laboratory analysis and data evaluation. Which target parameters (e.g. SARS-CoV-2, influenza, RSV) are relevant - and which best practices have been established? (Dr. Daniela Wetzel)
     
  • LECTURE 3: The future of wastewater-based epidemiology - innovations and new fields of application
    What will the next generation of wastewater-based epidemiology bring? From high-throughput methods to AI-supported early warning systems. Perspectives for integration into modern public health monitoring. (Dr. Jiri Snaidr)

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