Spatial dynamics of at-risk populations (Risk Profiles)
Understanding the spatial dynamics of at-risk populations can be important for health officials to guide response efforts, preventative measures, and more.
Fraym developed a risk profile of the population most at-risk if they contract COVID-19. We drew on 3 components that have been shown to increase the risk of respiratory disease: people 60+, regular smokers, and those who use dirty cooking fuel. The result is a hyper-local heatmap of people most at-risk for life-threatening complications of COVID-19. We have already applied the model to Nigeria.
