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
Open accessAbstract
Background The Immunization Agenda 2030 (IA2030) Impact Goal 1.1. aims to reduce the number of future deaths averted through immunization in the next decade. To estimate the potential impact of the aspirational coverage targets for IA2030, we developed an analytical framework and estimated the number of deaths averted due to an ambitious vaccination coverage scenario from 2021 to 2030 in 194 countries. Method A demographic model was used to determine annual age-specific mortality estimates associated with vaccine coverage rates. For ten pathogens (Hepatitis B virus, Haemophilus influenzae type B, human papillomavirus, Japanese encephalitis, measles, Neisseria meningitidis serogroup A, Streptococcus pneumoniae, rotavirus, rubella, yellow fever), we derived single measures of country-, age-, and pathogen-specific relative risk of deaths conditional upon coverage rates, leveraging the data from 18 modeling groups as part of the Vaccine Impact Model Consortium (VIMC) for 110 countries. We used a logistic regression model to extrapolate the relative risk estimates to countries that were not modeled by VIMC. For four pathogens (diphtheria, tetanus, pertussis and tuberculosis), we used estimates from the Global Burden of Disease 2019 study and existing literature on vaccine efficacy. A future scenario defining years of vaccine introduction and scale-up needed to reach aspirational targets was developed as an input to estimate the long-term impact of vaccination taking place from 202…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Measles vaccination is likely to remain the single greatest contributor to lives saved.
“Measles vaccination has been the single greatest contributor and is likely to remain so.18, 23”
From Contribution of vaccination to improved survival and health: modelling 50 years of the Expanded Programme on Immunization (2024) · cites this paper as [23]
Forecasting suggests that measles vaccination will remain the pre-eminent intervention that will maximise lives saved well into the future.
“Despite the importance of non-vaccine factors, forecasting suggests that measles vaccination will remain the pre-eminent intervention that will maximise lives saved well into the future.23, 27”
From Contribution of vaccination to improved survival and health: modelling 50 years of the Expanded Programme on Immunization (2024) · cites this paper as [23]
Cites
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358 · see citing works
Li, X., Mukandavire, C., Cucunubá, Z. M., Echeverria Londono, S., Abbas, K., Clapham, H. E., Jit, M., Johnson, H. L., Papadopoulos, T., Vynnycky, E., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32657-x · Cited by 300 · see citing works
Self-citationThe world of immunization: achievements, challenges, and strategic vision for the next decade
Lindstrand, A., Cherian, T., Chang-Blanc, D., Feikin, D., & O’Brien, K. L. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiab284 · Cited by 179 · see citing works
Self-citationDiphtheria vaccine: WHO position paper, August 2017 – Recommendations
World Health Organization (2018) · Vaccine · doi:10.1016/j.vaccine.2017.08.024 · Cited by 79 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Shattock, A. J., Johnson, H. C., Sim, S. Y., Carter, A., Lambach, P., Hutubessy, R. C. W., Thompson, K. M., Badizadegan, K., Lambert, B., Ferrari, M. J., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(24)00850-x · Cited by 655 · see citing works
“18 Finally, published static disease burden models for diphtheria, tetanus, pertussis, and tuberculosis were upgraded (appendix pp 23–31).”
BackgroundMethodInfluentialSelf-citation
- Authors
- Carter, A., Msemburi, W., Sim, S. Y., Gaythorpe, K. A. M., Lambach, P., Lindstrand, A., & Hutubessy, R.
- Affiliations
- University of Washington (US)
- World Health Organization (CH)
- Imperial College London (GB)
- Corresponding author
- Carter, Austin
- Sim, So Yoon
- ORCID
- Venue
- Vaccine
- Publisher
- Elsevier BV
- Published
- 2024-04
- Volume
- 42
- Pages
- S28-S37
- ISSN
- 0264-410X (ISSN-L)
- OpenAlex
- W4385455710
- Cited by
- 121
- References
- 4
- Citations by year
- 2026: 30 · 2025: 40 · 2024: 42 · 2023: 3 · 2022: 6
- FWCI
- 30.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Vaccine (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Bill and Melinda Gates Foundation
- Topics
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Life Sciences › Immunology and Microbiology › Immunology › Immune responses and vaccinations
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
- Keywords
- Immunization Agenda 2030, mortality averted, vaccination coverage, measles, hepatitis B, Haemophilus influenzae type b, human papillomavirus, Japanese encephalitis, Neisseria meningitidis serogroup A, Streptococcus pneumoniae, rotavirus, rubella, yellow fever, tuberculosis, relative risk of death, vaccine impact
- MeSH terms
- Global Burden of Disease, Vaccination Coverage, Adolescent, Adult, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Vaccination, Vaccines, Global Health, Immunization Programs, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review