Literature DB >> 34253291

Lives saved with vaccination for 10 pathogens across 112 countries in a pre-COVID-19 world.

Jaspreet Toor1, Susy Echeverria-Londono1, Xiang Li1, Kaja Abbas2, Emily D Carter3, Hannah E Clapham4, Andrew Clark2, Margaret J de Villiers1, Kirsten Eilertson5, Matthew Ferrari6, Ivane Gamkrelidze7, Timothy B Hallett1, Wes R Hinsley1, Daniel Hogan8, John H Huber9, Michael L Jackson10, Kevin Jean1,11, Mark Jit2,12, Andromachi Karachaliou13, Petra Klepac2, Alicia Kraay14, Justin Lessler3, Xi Li15, Benjamin A Lopman14, Tewodaj Mengistu8, C Jessica E Metcalf16, Sean M Moore9, Shevanthi Nayagam1,17, Timos Papadopoulos18,19, T Alex Perkins9, Allison Portnoy20, Homie Razavi7, Devin Razavi-Shearer7, Stephen Resch20, Colin Sanderson2, Steven Sweet20, Yvonne Tam3, Hira Tanvir2, Quan Tran Minh9, Caroline L Trotter13, Shaun A Truelove3, Emilia Vynnycky18, Neff Walker3, Amy Winter3, Kim Woodruff1, Neil M Ferguson1, Katy Am Gaythorpe1.   

Abstract

Background: Vaccination is one of the most effective public health interventions. We investigate the impact of vaccination activities for Haemophilus influenzae type b, hepatitis B, human papillomavirus, Japanese encephalitis, measles, Neisseria meningitidis serogroup A, rotavirus, rubella, Streptococcus pneumoniae, and yellow fever over the years 2000-2030 across 112 countries.
Methods: Twenty-one mathematical models estimated disease burden using standardised demographic and immunisation data. Impact was attributed to the year of vaccination through vaccine-activity-stratified impact ratios.
Results: We estimate 97 (95%CrI[80, 120]) million deaths would be averted due to vaccination activities over 2000-2030, with 50 (95%CrI[41, 62]) million deaths averted by activities between 2000 and 2019. For children under-5 born between 2000 and 2030, we estimate 52 (95%CrI[41, 69]) million more deaths would occur over their lifetimes without vaccination against these diseases. Conclusions: This study represents the largest assessment of vaccine impact before COVID-19-related disruptions and provides motivation for sustaining and improving global vaccination coverage in the future. Funding: VIMC is jointly funded by Gavi, the Vaccine Alliance, and the Bill and Melinda Gates Foundation (BMGF) (BMGF grant number: OPP1157270 / INV-009125). Funding from Gavi is channelled via VIMC to the Consortium's modelling groups (VIMC-funded institutions represented in this paper: Imperial College London, London School of Hygiene and Tropical Medicine, Oxford University Clinical Research Unit, Public Health England, Johns Hopkins University, The Pennsylvania State University, Center for Disease Analysis Foundation, Kaiser Permanente Washington, University of Cambridge, University of Notre Dame, Harvard University, Conservatoire National des Arts et Métiers, Emory University, National University of Singapore). Funding from BMGF was used for salaries of the Consortium secretariat (authors represented here: TBH, MJ, XL, SE-L, JT, KW, NMF, KAMG); and channelled via VIMC for travel and subsistence costs of all Consortium members (all authors). We also acknowledge funding from the UK Medical Research Council and Department for International Development, which supported aspects of VIMC's work (MRC grant number: MR/R015600/1).JHH acknowledges funding from National Science Foundation Graduate Research Fellowship; Richard and Peggy Notebaert Premier Fellowship from the University of Notre Dame. BAL acknowledges funding from NIH/NIGMS (grant number R01 GM124280) and NIH/NIAID (grant number R01 AI112970). The Lives Saved Tool (LiST) receives funding support from the Bill and Melinda Gates Foundation.This paper was compiled by all coauthors, including two coauthors from Gavi. Other funders had no role in study design, data collection, data analysis, data interpretation, or writing of the report. All authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.
© 2021, Toor et al.

Entities:  

Keywords:  LMICs; epidemiology; global health; mathematical modelling; vaccine impact; virus

Mesh:

Substances:

Year:  2021        PMID: 34253291      PMCID: PMC8277373          DOI: 10.7554/eLife.67635

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  141 in total

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