Comparing Resources
Tip: You can share the address of this page to allow others to view your comparison
| Resource | Modeling the impact of vaccination for the immunization Agenda 2030: Deaths averted due to vaccination against 14 pathogens in 194 countries from 2021 to 2030 |
|---|---|
| Purpose | This resource presents a modeling analysis of the potential health impacts of achieving the immunization coverage targets set by the Immunization Agenda 2030 (IA2030). It aims to quantify the reduction in mortality from vaccine-preventable diseases if these targets are met. |
| Content | This modeling study estimates the number of future deaths averted through vaccination delivered from 2021-2030 in 194 countries based on the aspirational IA2030 coverage scenario. |
| Use | The modeled impact estimates from this analysis are used as target estimates for the Impact Goal indicator (IG 1.1) of IA2030 Framework for Action. The analysis helps in advocacy for stronger immunization policies by providing evidence on the large-scale health benefits of vaccines. It also supports strategic planning for vaccine programs by highlighting the most impactful interventions. |
| Contraints/Limitations | A counterfactual of “no vaccination”, as opposed to partial vaccination, is used to calculate the estimates, and vaccine coverage estimates capture only vaccines delivered through the routine immunization system (the impact on vaccine coverage from supplementary immunization activities (SIAs) is not captured). Any limitations inherent to underlying models and outputs from the Vaccine Impact Modelling Consortium or Global Burden of Disease study are also present in this analysis. |
| Example criteria this resource could address | Estimating the impact of improved vaccine coverage on reducing child mortality, identifying priority vaccines and regions to focus on for the greatest health impact, supporting global immunization advocacy by providing quantifiable health benefits. |
| If available, notes on the development process | The development process involved advanced epidemiological and mathematical modeling methods. |
| Additional Links | |
| Link to access the resource | index.php?option=com_content&view=article&catid=657&id=21745 |