Geoffrey Siwo recently came to U-M and is helping to develop the Center’s new Data Collaborative. Siwo will focus on harmonizing and interpreting data in new ways and ensuring data can be used by those who need it most.
Widespread vaccination is a pillar of outbreak control for a variety of diseases. But few resources are available to assess how vaccine presentation and target population characteristics affect coverage rates. How can more vaccines become vaccinations?
Systems designed in and for high-resource settings don’t always translate in other parts of the world. How can we reduce morbidity and mortality through the development of scalable models that strengthen the commercialization and implementation of global health technology?