Literature DB >> 36113527

Feasibility of measles and rubella vaccination programmes for disease elimination: a modelling study.

Amy K Winter1, Brian Lambert2, Daniel Klein3, Petra Klepac4, Timos Papadopoulos5, Shaun Truelove6, Colleen Burgess7, Heather Santos2, Jennifer K Knapp8, Susan E Reef8, Lidia K Kayembe8, Stephanie Shendale9, Katrina Kretsinger9, Justin Lessler10, Emilia Vynnycky11, Kevin McCarthy3, Matthew Ferrari2, Mark Jit4.   

Abstract

BACKGROUND: Marked reductions in the incidence of measles and rubella have been observed since the widespread use of the measles and rubella vaccines. Although no global goal for measles eradication has been established, all six WHO regions have set measles elimination targets. However, a gap remains between current control levels and elimination targets, as shown by large measles outbreaks between 2017 and 2019. We aimed to model the potential for measles and rubella elimination globally to inform a WHO report to the 73rd World Health Assembly on the feasibility of measles and rubella eradication.
METHODS: In this study, we modelled the probability of measles and rubella elimination between 2020 and 2100 under different vaccination scenarios in 93 countries of interest. We evaluated measles and rubella burden and elimination across two national transmission models each (Dynamic Measles Immunisation Calculation Engine [DynaMICE], Pennsylvania State University [PSU], Johns Hopkins University, and Public Health England models), and one subnational measles transmission model (Institute for Disease Modeling model). The vaccination scenarios included a so-called business as usual approach, which continues present vaccination coverage, and an intensified investment approach, which increases coverage into the future. The annual numbers of infections projected by each model, country, and vaccination scenario were used to explore if, when, and for how long the infections would be below a threshold for elimination.
FINDINGS: The intensified investment scenario led to large reductions in measles and rubella incidence and burden. Rubella elimination is likely to be achievable in all countries and measles elimination is likely in some countries, but not all. The PSU and DynaMICE national measles models estimated that by 2050, the probability of elimination would exceed 75% in 14 (16%) and 36 (39%) of 93 modelled countries, respectively. The subnational model of measles transmission highlighted inequity in routine coverage as a likely driver of the continuance of endemic measles transmission in a subset of countries.
INTERPRETATION: To reach regional elimination goals, it will be necessary to innovate vaccination strategies and technologies that increase spatial equity of routine vaccination, in addition to investing in existing surveillance and outbreak response programmes. FUNDING: WHO, Gavi, the Vaccine Alliance, US Centers for Disease Control and Prevention, and the Bill & Melinda Gates Foundation.
Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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Year:  2022        PMID: 36113527      PMCID: PMC9557212          DOI: 10.1016/S2214-109X(22)00335-7

Source DB:  PubMed          Journal:  Lancet Glob Health        ISSN: 2214-109X            Impact factor:   38.927


  23 in total

Review 1.  Estimates of measles case fatality ratios: a comprehensive review of community-based studies.

Authors:  Lara J Wolfson; Rebecca F Grais; Francisco J Luquero; Maureen E Birmingham; Peter M Strebel
Journal:  Int J Epidemiol       Date:  2009-02       Impact factor: 7.196

Review 2.  Measles and Rubella Global Strategic Plan 2012-2020 midterm review report: Background and summary.

Authors:  Walter A Orenstein; Lisa Cairns; Alan Hinman; Benjamin Nkowane; Jean-Marc Olivé; Arthur L Reingold
Journal:  Vaccine       Date:  2018-01-11       Impact factor: 3.641

3.  Structured models of infectious disease: inference with discrete data.

Authors:  C J E Metcalf; J Lessler; P Klepac; A Morice; B T Grenfell; O N Bjørnstad
Journal:  Theor Popul Biol       Date:  2011-12-09       Impact factor: 1.570

4.  Controlling measles using supplemental immunization activities: a mathematical model to inform optimal policy.

Authors:  Stéphane Verguet; Mira Johri; Shaun K Morris; Cindy L Gauvreau; Prabhat Jha; Mark Jit
Journal:  Vaccine       Date:  2014-12-23       Impact factor: 3.641

Review 5.  Using Seroprevalence and Immunisation Coverage Data to Estimate the Global Burden of Congenital Rubella Syndrome, 1996-2010: A Systematic Review.

Authors:  Emilia Vynnycky; Elisabeth J Adams; Felicity T Cutts; Susan E Reef; Ann Marie Navar; Emily Simons; Lay-Myint Yoshida; David W J Brown; Charlotte Jackson; Peter M Strebel; Alya J Dabbagh
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

6.  The impact of COVID-19 nonpharmaceutical interventions on the future dynamics of endemic infections.

Authors:  Rachel E Baker; Sang Woo Park; Wenchang Yang; Gabriel A Vecchi; C Jessica E Metcalf; Bryan T Grenfell
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-09       Impact factor: 11.205

7.  Measles and the canonical path to elimination.

Authors:  Matthew Graham; Amy K Winter; Matthew Ferrari; Bryan Grenfell; William J Moss; Andrew S Azman; C Jessica E Metcalf; Justin Lessler
Journal:  Science       Date:  2019-05-10       Impact factor: 47.728

8.  Projecting social contact matrices in 152 countries using contact surveys and demographic data.

Authors:  Kiesha Prem; Alex R Cook; Mark Jit
Journal:  PLoS Comput Biol       Date:  2017-09-12       Impact factor: 4.475

9.  Quantifying the success of measles vaccination campaigns in the Rohingya refugee camps.

Authors:  Taylor Chin; Caroline O Buckee; Ayesha S Mahmud
Journal:  Epidemics       Date:  2020-01-09       Impact factor: 4.396

10.  Progress Toward Rubella and Congenital Rubella Syndrome Control and Elimination - Worldwide, 2000-2018.

Authors:  Gavin B Grant; Shalini Desai; Laure Dumolard; Katrina Kretsinger; Susan E Reef
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2019-10-04       Impact factor: 17.586

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