Literature DB >> 12113495

Modelling equine influenza 1: a stochastic model of within-yard epidemics.

K Glass1, J L N Wood, J A Mumford, D Jesset, B T Grenfell.   

Abstract

This paper demonstrates that a simple stochastic model can capture the features of an epidemic of equine influenza in unvaccinated horses. When the model is modified to consider vaccinated horses, we find that vaccination dramatically reduces the incidence and size of epidemics. Although occasional larger outbreaks can still occur, these are exceptional. We then look at the effects of vaccination on a yard of horses, and in particular at the relationship between pre-challenge antibody level and quantity of virus shed when challenged with the virus. While on average, a high antibody level implies that less virus will be shed during the infectious period, we identify a high degree of heterogeneity in the response of horses with similar pre-challenge antibody levels. We develop a modified model that incorporates some heterogeneity in levels of infectivity, and compare this with the simpler model.

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Year:  2002        PMID: 12113495      PMCID: PMC2869847          DOI: 10.1017/s0950268802006829

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  9 in total

1.  Using a computer simulation model to examine the impact of biosecurity measures during a facility-level outbreak of equine influenza.

Authors:  Kelsey L Spence; Terri L O'Sullivan; Zvonimir Poljak; Amy L Greer
Journal:  Can J Vet Res       Date:  2018-04       Impact factor: 1.310

2.  Control of equine influenza: scenario testing using a realistic metapopulation model of spread.

Authors:  M Baguelin; J R Newton; N Demiris; J Daly; J A Mumford; J L N Wood
Journal:  J R Soc Interface       Date:  2009-04-01       Impact factor: 4.118

Review 3.  Equine influenza - surveillance and control.

Authors:  Ann Cullinane; Debra Elton; Jenny Mumford
Journal:  Influenza Other Respir Viruses       Date:  2010-11       Impact factor: 4.380

4.  Contact heterogeneity, rather than transmission efficiency, limits the emergence and spread of canine influenza virus.

Authors:  Benjamin D Dalziel; Kai Huang; Jemma L Geoghegan; Nimalan Arinaminpathy; Edward J Dubovi; Bryan T Grenfell; Stephen P Ellner; Edward C Holmes; Colin R Parrish
Journal:  PLoS Pathog       Date:  2014-10-23       Impact factor: 6.823

5.  A comparative antibody study of the potential susceptibility of Thoroughbred and non-Thoroughbred horse populations in Ireland to equine influenza virus.

Authors:  Sarah Gildea; Sean Arkins; Ann Cullinane
Journal:  Influenza Other Respir Viruses       Date:  2010-11       Impact factor: 4.380

6.  The effects of strain heterology on the epidemiology of equine influenza in a vaccinated population.

Authors:  A W Park; J L N Wood; J M Daly; J R Newton; K Glass; W Henley; J A Mumford; B T Grenfell
Journal:  Proc Biol Sci       Date:  2004-08-07       Impact factor: 5.349

7.  Transmission of equine influenza virus during an outbreak is characterized by frequent mixed infections and loose transmission bottlenecks.

Authors:  Joseph Hughes; Richard C Allen; Marc Baguelin; Katie Hampson; Gregory J Baillie; Debra Elton; J Richard Newton; Paul Kellam; James L N Wood; Edward C Holmes; Pablo R Murcia
Journal:  PLoS Pathog       Date:  2012-12-20       Impact factor: 6.823

8.  Measles on the edge: coastal heterogeneities and infection dynamics.

Authors:  Nita Bharti; Yingcun Xia; Ottar N Bjornstad; Bryan T Grenfell
Journal:  PLoS One       Date:  2008-04-09       Impact factor: 3.240

Review 9.  What can mathematical models bring to the control of equine influenza?

Authors:  J M Daly; J R Newton; J L N Wood; A W Park
Journal:  Equine Vet J       Date:  2013-08-02       Impact factor: 2.888

  9 in total

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