We are excited to have Prof. Joacim Rocklöv, leading the first AI lab in Germany addressing global infectious diseases and climate change issues. During his talk, he will go into detail how to leverage AI for surveillance and prediction of infectious disease outbreaks.
We hope to see you there, learning with us about the latest on AI and infectious disease outbreak prediction.
Abstract
Pandemic preparedness and prevention focus on increasing the capacity to detect, manage, and prevent infectious disease outbreaks from spreading between the environment, animals, and humans. Novel surveillance data streams and data integration across sectors are required to improve the preparedness systems, as well as the development of decision-guiding predictive models coupled with effective response mechanisms. This talk focuses on describing the state-of-the-art within the intersection of pandemic preparedness and climate-sensitive infectious disease and showcasing a few interesting developments and applications of machine learning for sensors and surveillance. For example, if set in relation to mosquito smart traps, tick citizen science, and IoT sensors for the bioacoustics of animals. It will further discuss the predictive modeling of emerging infectious diseases and provide an example of what model requirements and features are important to consider within this area.
Biography
Joacim Rocklöv is a distinguished figure in the field of public health and epidemiology, with a significant focus on the intersection of epidemiology, climate, and data science.
Moreover, Rocklöv is at the forefront of developing the first AI lab in Germany addressing global infectious diseases and climate change issues.
Event Info
Please help us plan ahead by registrating for the event at our
meetup event-site
.
After the event, there will be a social get-together with food and drinks courtesy of the Division of Medical Image Computing and Interactive Machine Learning Group at the DKFZ.
| What? | Integrated surveillance and novel data streams for infectious disease outbreak prediction |
|---|---|
| Who? | Joacim Rocklöv, Heidelberg Institute of Global Health (HIGH) & Interdisciplinary Centre of Scientific Computing (IWR) |
| When? | January 31st 2024 @ 4pm |
| Where? | Seminarraum im Gästehaus der Universität Heidelberg |
| Registration | meetup event-site |