Mathematics for Public Health (MfPH) is a program to develop a national network of infectious disease modellers and public health policy makers that can rapidly respond to public health emergencies. In line with the program’s aim, this hybrid event will bring together prominent researchers around the world in the field of early warning systems (EWS) for emerging and re-emerging infectious diseases, to share the latest research outcomes, prompt collaboration, expose young researchers to leading experts, and to develop a long-term collaboration platform in this field of research.

EWS for infectious diseases is important for public health planning as early detection of an emerging disease outbreak is crucial to the success of disease control. It has been a very active field of research for many diseases such as SARS and pandemic influenza, and has attracted strong interest especially since the start of the COVID-19 pandemic.

Planned activities include:

• Talks by leading academic experts
• Discussion between experts with various backgrounds with the goal of developing new methodology

Structure

This event will be a 3-day workshop held in hybrid form with face-to-face meetings and online participation. There will be 3 sessions on each of the commonly used data types, namely classical surveillance data sources (environmental surveillance, satellite imaging, and case surveillance), modern data sources (social media, web search and news articles), and the combination of these two data sources.

On each day, there will be a morning session consisting of a keynote speaker presentation followed by two invited talks and a discussion session, and an afternoon working group session to work on particular topics in order to produce a policy towards EWS for infectious diseases.

Apply for travel funding here by Janaury 13, 2023. 

Afforable housing accomodation options can be found here.