16 October, 3-4pm CET / 9am EST/ 4pm EAT
Join two back-to-back sessions to learn about the findings from Gavi-commissioned studies, leveraging data and analytics to reach zero-dose children more effectively.
Session one: finding zero-dose children using predictive algorithms (3-3:30pm CET)
Harvard researchers commissioned by Gavi have completed a first of its kind study to develop an algorithm that can help us predict the whereabouts of zero-dose children. Using existing and universally accessible datasets from India, Mali and Nigeria, learn more about this “predictive algorithm” that can effectively identify zero-dose children to household-level accuracy.
Session two: how effective is school vaccination screening? Lessons from Zambia (3:30-4pm CET)
While policies to check vaccination status at school enrollment exist in many countries, they are not routinely implemented in low-resource settings. In a study commissioned by Gavi, Johns Hopkins researchers set out to see whether this “school screening” approach was a feasible way of finding and vaccinating under-immunised children in both rural and urban settings in Zambia. Join this webinar to learn more about the findings, and new lessons learned about filling immunity gaps.
Join us on Zoom
https://gavi-org.zoom.us/j/96992364941?pwd=K2V4WkhzOWhxZDNTTkF0bUQ0K3hnZz09
Passcode:534136