Background: The objective of the study was to assess compliance of the WHO and UNICEF estimates of national immunization coverage (WUENIC) against the 18 criteria of the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) that define and promote good practice in reporting of global health estimates. Methods: We conducted a desk review of the WUENIC estimation and reporting process vis-à-vis each of the 18 GATHER criteria to complete a self-assessment of compliance with GATHER. Results: Overall, WUENIC estimates are fully compliant with 17 of the GATHER criteria and partially compliant with one criterion-criterion 11, which is related to candidate model evaluation and final model selection. Conclusion: The GATHER criteria provide a useful framework for documenting WUENIC's compliance with contemporary reporting requirements. Given the role of vaccination coverage estimates in global monitoring and guiding disease control efforts, WHO and UNICEF strive to produce and publish robust estimates of vaccination coverage through a transparent process that emphasizes country involvement.
|Journal||Gates Open Research|
|Publication status||Published - 2021|
Bibliographical noteFunding Information:
The authors are indebted to the selfless contributions of Mr Anthony (Tony) Burton for the conceptualization, development, implementation and ongoing refinement of the WHO and UNICEF estimation process. Mr Burton contributed to the writing of this manuscript but died in July 2018 prior to its completion. The authors also wish to acknowledge the contributions of Professor Emeritus Robert A Kowalski of Imperial College London for his thoughtful contributions to refinements in the WUENIC methodology and utilization of computational logic. The authors wish to acknowledge the contributions of all the dedicated WHO and UNICEF working group team members that contributed over 20 years to the implementation and refinement of WUENIC. Finally, the authors thank Stacy Young for editorial guidance and review provided in the finalization of this manuscript.
© 2021 Danovaro-Holliday MC et al.
- Epidemiologic methods
- Global health
- Health status indicators