Using Serology to Anticipate Measles Post-honeymoon Period Outbreaks.


Journal

Trends in microbiology
ISSN: 1878-4380
Titre abrégé: Trends Microbiol
Pays: England
ID NLM: 9310916

Informations de publication

Date de publication:
08 2020
Historique:
received: 27 02 2020
revised: 13 04 2020
accepted: 14 04 2020
pubmed: 4 5 2020
medline: 1 6 2021
entrez: 4 5 2020
Statut: ppublish

Résumé

Measles vaccination is a public health 'best buy', with the highest cost of illness averted of any vaccine-preventable disease (Ozawa et al., Bull. WHO 2017;95:629). In recent decades, substantial reductions have been made in the number of measles cases, with an estimated 20 million deaths averted from 2000 to 2017 (Dabbagh et al., MMWR 2018;67:1323). Yet, an important feature of epidemic dynamics is that large outbreaks can occur following years of apparently successful control (Mclean et al., Epidemiol. Infect. 1988;100:419-442). Such 'post-honeymoon period' outbreaks are a result of the nonlinear dynamics of epidemics (Mclean et al., Epidemiol. Infect. 1988;100:419-442). Anticipating post-honeymoon outbreaks could lead to substantial gains in public health, helping to guide the timing, age-range, and location of catch-up vaccination campaigns (Grais et al., J. Roy. Soc. Interface 2008003B6:67-74). Theoretical conditions for such outbreaks are well understood for measles, yet the information required to make these calculations policy-relevant is largely lacking. We propose that a major extension of serological studies to directly characterize measles susceptibility is a high priority.

Identifiants

pubmed: 32359782
pii: S0966-842X(20)30102-5
doi: 10.1016/j.tim.2020.04.009
pmc: PMC7167541
pii:
doi:

Substances chimiques

Antibodies, Viral 0
Measles Vaccine 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

597-600

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Références

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Nat Commun. 2017 May 25;8:15585
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pubmed: 29635277

Auteurs

C J E Metcalf (CJE)

Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA. Electronic address: cmetcalf@princeton.edu.

A Wesolowski (A)

Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

A K Winter (AK)

Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

J Lessler (J)

Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

S Cauchemez (S)

Institut Pasteur, Paris, France.

W J Moss (WJ)

Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

A R McLean (AR)

Department of Zoology, Oxford University, Oxford, UK.

B T Grenfell (BT)

Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.

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Classifications MeSH