Mapping the characteristics of under/un‐vaccinated children (Zero Dose II)

Project leads: Natalia Tejedor Garavito

Team: Edson Utazi, Adelle Wigley, Theo Chan, Gemma Gubbins, Maksym Bondarenko, Tim O’Riordan

Funding: Gavi, the Vaccine Alliance

Start: Oct 2021
Completion: Oct 2022

This work builds on previous research outputs that integrate a suite of geospatial datasets to assemble a global subnational evidence base on the distributions, numbers and characteristics of under 1 year old children not receiving the first and third doses of the diphtheria, tetanus toxoids and pertussis (DTP1, DTP3) vaccine and also the first dose of the measles containing vaccine (MCV1) in 2019, which was funded by the Bill and Melinda Gates Foundation. We are working with Gavi, the vaccine alliance to extend the work to explore further the characteristics of un/under-vaccinated children. We are providing additional insights into other potentially relevant settings as well as drivers and characteristics of zero-dose to support planning of country strategies.

Providing spatial data and other characteristics of un/under-vaccinated population assists vaccination strategies and interventions that prioritize and target these at-risk groups, enabling efficient targeting of limited resources and therefore increasing their economic benefit.

The project is central to Gavi’s 5.0 vision aimed at achieving high, equitable vaccination coverage and addressing 14 of 17 Sustainable Development Goals (specifically SDG3 – good health and well-being). Using innovation to ensure that immunisation services reach children in Gavi-supported countries that currently do not receive a single-dose of routine vaccines, this project is helping to sharpen Gavi’s decision-making around the types of geographies and contexts needed to prioritize their work over the next five to ten years.

Peer-reviewed publications detailing the characteristics and spatial distribution of targeted population are being prepared. Any datasets produced for the project will be available for open access.

Countries

  • Ethiopia
  • Uganda
  • Democratic Republic of Congo
  • Nigeria
  • India
  • Pakistan