  More than 5 million children under five years die from largely preventable or
treatable medical conditions every year, with an overwhelmingly large
proportion of deaths occurring in underdeveloped countries with low vaccination
uptake. One of the United Nations' sustainable development goals (SDG 3) aims
to end preventable deaths of newborns and children under five years of age. We
focus on Nigeria, where the rate of infant mortality is appalling. In
particular, low vaccination uptake in Nigeria is a major driver of more than
2,000 daily deaths of children under the age of five years. In this paper, we
describe our collaboration with government partners in Nigeria to deploy
ADVISER: AI-Driven Vaccination Intervention Optimiser. The framework, based on
an integer linear program that seeks to maximize the cumulative probability of
successful vaccination, is the first successful deployment of an AI-enabled
toolchain for optimizing the allocation of health interventions in Nigeria. In
this paper, we provide a background of the ADVISER framework and present
results, lessons, and success stories of deploying ADVISER to more than 13,000
families in the state of Oyo, Nigeria.
