Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27530
Title: Mathematical models and vaccination strategies
Authors: BERAUD, Guillaume 
Issue Date: 2018
Publisher: ELSEVIER SCI LTD
Source: VACCINE, 36(36), p. 5366-5372
Abstract: Infection transmission is a complex and dynamic process, and is therefore difficult to assess. Consequently, mathematical models are a useful tool to understand any leverage on this transmission, such as vaccination. Models can provide guidance to implement an optimal vaccination campaign whether it concerns the fraction of the population or the age-group to be vaccinated. Mathematical models can also provide insights on counter-intuitive collateral effects of vaccination campaign, given the possibility that the overall benefits for the general population may hide deleterious effects on some sub-groups. As a large proportion of the population is now vaccinated, complex modelling taking into account individual and population heterogeneity and behaviour is necessary although challenging. But the most crucial aspect in the future of mathematical modelling still consists in obtaining precise and exhaustive data. (C) 2017 Elsevier Ltd. All rights reserved.
Notes: [Beraud, Guillaume] CHU Poitiers, Med Interne & Malad Infect, Poitiers, France. [Beraud, Guillaume] Univ Droit & Sante Lille 2, EA2694, Lille, France. [Beraud, Guillaume] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Hasselt, Belgium.
Keywords: Mathematical models; Vaccination;Mathematical models; Vaccination
Document URI: http://hdl.handle.net/1942/27530
ISSN: 0264-410X
e-ISSN: 1873-2518
DOI: 10.1016/j.vaccine.2017.10.014
ISI #: 000444360200004
Category: A1
Type: Journal Contribution
Validations: ecoom 2019
Appears in Collections:Research publications

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