yellow feverIn 2018 PAHO’s Health Emergencies Department and UNICEF’s Office of Innovation joined forces to explore the potential of machine learning to predict areas of yellow fever incidence in the Americas and assess the importance of geographic and environmental factors, employing PAHO’s seminal work and unique datasets. Increasing availability of digital data and development of Machine Learning (ML) techniques, and Artificial Intelligence (AI) in general, has proven extremely useful in understanding patterns of disease and health dynamics in populations. This trend of popular field of research called digital epidemiology uses digital data collected and generated inside and outside the public health system.

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