Machine learning-based models have informed many national responses to the COVID-19 pandemic. But the right conditions must be in place for artificial intelligence, machine learning, and advanced analytics to realize their full potential in pandemic preparedness and response — particularly in low- and middle-income country contexts.
So how can governments and their partners translate more of these models into policy?
Marelize Gorgens, digital health lead at the World Bank, shared her thoughts on this last week at an event hosted by the Center for Global Development.