Purpose of the Polio Vaccine Forecasting Dashboard
This dashboard provides multi-year estimates of global, regional and country-level requirements for all polio vaccine types for the period 2026-2030, including routine immunisation and supplementary immunisation activities (SIAs). This dashboard supports the Polio Vaccine Security Framework by providing a unified, evidence-based view of future vaccine needs, strengthening global alignment on long-term supply planning.
The routine immunisation component is calculated using a standardised formula:
The SIA component captures nOPV2 and bOPV requirements for outbreak response, endemic SIAs (in Afghanistan and Pakistan) and pre-cessation campaigns (in 2028-2029), using blended methodologies derived from experts with operational experience, immunity mapping, risk-based planning and historical shipment data.
The model converts these inputs into a consistent, comparable, and scenario-based projection for all vaccine types.
Key Data Inputs
The forecast relies on harmonised global datasets:
These inputs ensure consistency across countries while providing a structured basis for scenario testing
Methodology and Scenarios
The model produces multi-year demand disaggregated by vaccine and demand type (routine immunisation, outbreak response, endemic SIAs, pre-cessation SIAs).
Three scenarios are available, each varying the coverage assumption while holding other inputs constant:
Together, these present a 10-15% demand range, offering upper, middle and lower bounds for planning.
The model is sensitive to all inputs and is not intended to replace partner-specific models but rather to provide a shared reference point for alignment.
How to Use the Dashboard
The Power BI dashboard allows users to explore forecasted demand for 2026-2030, filtered by:
Two primary views are available:
Limitations and Considerations
Forecasted quantities depend on multiple dynamic inputs – population accuracy, schedule shifts, changes in coverage, policy decisions, and evolving SIA needs.
Assumptions may need updating as the epidemiology evolves and policies shift.
The model therefore represents a living tool, to be updated and refined as new data and policies emerge.
Contact and Feedback
Please provide any feedback or questions to David Woods (woodsd@who.int).