Early warning systems: using tech to predict disease outbreaks

Podcast: When Science Finds a Way (LS 41 · TOP 1.5% what is this?) Episode: Early warning systems: using tech to predict disease outbreaks Pub date: 2025-09-24 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization By the time we realise an outbreak is underway, the disease is already spreading, and the window to act is closing fast. But what if we could get ahead of it? Over the past decade, scientists and technologists have been developing powerful modelling tools that combine health and climate data to forecast where and when outbreaks might occur. Alisha is joined by Dr Anna Ibarra Stewart to explore how early warning systems are being developed to help stay ahead of viruses like dengue and Zika and reduce the impact of outbreaks before they escalate. They also discuss the challenges of turning research into practical tools that can be used in the regions most affected by disease. We hear from HARMONIZE, a groundbreaking project in Brazil where scientists, governments and local communities are working side by side to turn predictive insights into real-world impact. When Science Finds a Way is brought to you by Wellcome, an independent global foundation that supports science to solve the urgent health challenges facing everyone. For more information and podcast transcripts visit wellcome.org/podcast The podcast and artwork embedded on this page are from Wellcome, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.