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A new MOnitoring Outbreaks for Disease surveillance in a data science context (MOOD) Horizon 2020 study published this week offers an insightful look at how disease modelling and data use changed throughout the COVID-19 pandemic. The research, led by Dr Esther van Kleef, Technical Consultant for the World Health Organization (WHO), with WorldPop’s Professor Andy […]

As climate change drives more extreme weather patterns, the need for accurate and timely flood forecasting has never been greater. A global leader in this effort, Google’s Flood Hub, uses artificial intelligence to predict riverine floods1, and behind the scenes, WorldPop’s Global Project Population dataset is playing a pivotal role in shaping the tool’s impact.