Parental vaccination to reduce measles immunity gaps in Italy.


Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
03 09 2019
Historique:
received: 07 01 2019
accepted: 07 08 2019
entrez: 4 9 2019
pubmed: 4 9 2019
medline: 20 2 2020
Statut: epublish

Résumé

High-income countries are experiencing measles reemergence as the result of suboptimal vaccine uptake and marked immunity gaps among adults. In 2017, the Italian Government introduced mandatory vaccination at school entry for ten infectious diseases, including measles. However, sustainable and effective vaccination strategies targeting adults are still lacking. We use a data-driven model of household demography to estimate the potential impact on future measles epidemiology of a novel immunization strategy, to be implemented on top of the 2017 regulation, which consists of offering measles vaccine to the parents of children who get vaccinated. Model simulations suggest that the current vaccination efforts in Italy would not be sufficient to interrupt measles transmission before 2045 because of the frequency of susceptible individuals between 17 and 44 years of age. The integration of the current policy with parental vaccination has the potential to reduce susceptible adults by 17-35%, increasing the chance of measles elimination before 2045 up to 78.9-96.5%.

Identifiants

pubmed: 31477199
doi: 10.7554/eLife.44942
pii: 44942
pmc: PMC6721460
doi:
pii:

Substances chimiques

Measles Vaccine 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2019, Marziano et al.

Déclaration de conflit d'intérêts

VM, PP, FT, AM, MA, SM No competing interests declared

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Auteurs

Valentina Marziano (V)

Center for Information Technology, Fondazione Bruno Kessler, Trento, Italy.

Piero Poletti (P)

Center for Information Technology, Fondazione Bruno Kessler, Trento, Italy.

Filippo Trentini (F)

Center for Information Technology, Fondazione Bruno Kessler, Trento, Italy.

Alessia Melegaro (A)

Department of Social and Political Sciences, Bocconi University, Milano, Italy.
Carlo F Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milano, Italy.

Marco Ajelli (M)

Center for Information Technology, Fondazione Bruno Kessler, Trento, Italy.
Laboratory for the Modeling of Biological and Socio-Technical Systems, Northeastern University, Boston, United States.

Stefano Merler (S)

Center for Information Technology, Fondazione Bruno Kessler, Trento, Italy.

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