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Home / Equine Research Bank / Equine Vet J / What can mathematical models bring to the control of equine ...
Equine veterinary journal2013; 45(6); 784-788; doi: 10.1111/evj.12104

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

Abstract: Mathematical modelling of infectious disease is increasingly regarded as an important tool in the development of disease prevention and control measures. This article brings together key findings from various modelling studies conducted over the past 10 years that are of relevance to those on the front line of the battle against equine influenza.
© 2013 The Authors. Equine Veterinary Journal published by John Wiley & Sons Ltd on behalf of EVJ Ltd.
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Publication Date: 2013-08-02 PubMed ID: 23679041PubMed Central: PMC3935405DOI: 10.1111/evj.12104Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research article focuses on how mathematical models can enhance prevention and control measures against equine influenza by analyzing past studies.

Importance of Mathematical Models

  • The article primarily focuses on the value of mathematical models in developing more efficient strategies in preventing and controlling equine influenza – a common and highly contagious respiratory disease in horses.
  • These models are seen as important tools as they allow scientists to simulate different scenarios and understand how the disease spreads, which can then guide the implementation of appropriate strategies.

Analysis of Previous Modelling Studies

  • The researchers have conducted a comprehensive review of various modelling studies done in the past decade. This empowers them to pinpoint successful measures and procedures as well as identify gap areas in the control of equine influenza.
  • By bringing together key findings from these studies, the researchers have created an integrated understanding about the disease’s dynamics, offering considerable insights into its control.

Relevance to the Battle Against Equine Influenza

  • The findings of this research are particularly useful for policy makers, veterinary scientists, horse owners, and trainers who are on the front line of the battle against equine influenza.
  • These relevant parties can make use of the information gained from the mathematical models to determine the most effective course of action for combating the disease, essentially improving the health outcomes for horses.

Cite This Article

APA
Daly JM, Newton JR, Wood JL, Park AW. (2013). What can mathematical models bring to the control of equine influenza? Equine Vet J, 45(6), 784-788. https://doi.org/10.1111/evj.12104

Publication

Equine veterinary journal
ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English
Volume: 45
Issue: 6
Pages: 784-788

Researcher Affiliations

Daly, J M
  • School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, UK.
Newton, J R
    Wood, J L N
      Park, A W

        MeSH Terms

        • Animals
        • Horse Diseases / prevention & control
        • Horses
        • Influenza Vaccines / immunology
        • Models, Biological
        • Orthomyxoviridae Infections / prevention & control
        • Orthomyxoviridae Infections / veterinary

        References

        This article includes 29 references
        1. Smyth GB, Dagley K, Tainsh J. Insights into the economic consequences of the 2007 equine influenza outbreak in Australia.. Aust Vet J 2011 Jul;89 Suppl 1:151-8.
          pubmed: 21711317doi: 10.1111/j.1751-0813.2011.00777.xgoogle scholar: lookup
        2. Singh G. Characterization of A/eq-1 virus isolated during the equine influenza epidemic in India.. Acta Virol 1994 Feb;38(1):25-6.
          pubmed: 8067310
        3. Newton JR, Daly JM, Spencer L, Mumford JA. Description of the outbreak of equine influenza (H3N8) in the United Kingdom in 2003, during which recently vaccinated horses in Newmarket developed respiratory disease.. Vet Rec 2006 Feb 11;158(6):185-92.
          pubmed: 16474051doi: 10.1136/vr.158.6.185google scholar: lookup
        4. Newton JR, Lakhani KH, Wood JL, Baker DJ. Risk factors for equine influenza serum antibody titres in young thoroughbred racehorses given an inactivated vaccine.. Prev Vet Med 2000 Jul 20;46(2):129-41.
          pubmed: 10878300doi: 10.1016/s0167-5877(00)00144-6google scholar: lookup
        5. Newton JR, Townsend HG, Wood JL, Sinclair R, Hannant D, Mumford JA. Immunity to equine influenza: relationship of vaccine-induced antibody in young Thoroughbred racehorses to protection against field infection with influenza A/equine-2 viruses (H3N8).. Equine Vet J 2000 Jan;32(1):65-74.
          pubmed: 10661388doi: 10.2746/042516400777612116google scholar: lookup
        6. Morley PS, Townsend HG, Bogdan JR, Haines DM. Risk factors for disease associated with influenza virus infections during three epidemics in horses.. J Am Vet Med Assoc 2000 Feb 15;216(4):545-50.
          pubmed: 10687010doi: 10.2460/javma.2000.216.545google scholar: lookup
        7. Morley PS, Townsend HG, Bogdan JR, Haines DM. Descriptive epidemiologic study of disease associated with influenza virus infections during three epidemics in horses.. J Am Vet Med Assoc 2000 Feb 15;216(4):535-44.
          pubmed: 10687009doi: 10.2460/javma.2000.216.535google scholar: lookup
        8. Park AW, Daly JM, Lewis NS, Smith DJ, Wood JL, Grenfell BT. Quantifying the impact of immune escape on transmission dynamics of influenza.. Science 2009 Oct 30;326(5953):726-8.
          pmc: PMC3800096pubmed: 19900931doi: 10.1126/science.1175980google scholar: lookup
        9. Anderson RM, May RM. Infectious Diseases of Humans. Dynamics and Control.. Oxford: Oxford University Press; 1991.
        10. Glass K, Wood JL, Mumford JA, Jesset D, Grenfell BT. Modelling equine influenza 1: a stochastic model of within-yard epidemics.. Epidemiol Infect 2002 Jun;128(3):491-502.
          pmc: PMC2869847pubmed: 12113495doi: 10.1017/s0950268802006829google scholar: lookup
        11. Satou K, Nishiura H. Basic reproduction number for equine-2 influenza virus a (H3N8) epidemic in racehorse facilities in Japan, 1971.. J. Equine Vet. Sci. 2006;26:310–316.
        12. de la Rua-Domenech R, Reid SW, González-Zariquiey AE, Wood JL, Gettinby G. Modelling the spread of a viral infection in equine populations managed in Thoroughbred racehorse training yards.. Prev Vet Med 1999 Oct 19;47(1-2):61-77.
          pubmed: 11018735doi: 10.1016/s0167-5877(00)00161-6google scholar: lookup
        13. Park AW, Wood JL, Newton JR, Daly J, Mumford JA, Grenfell BT. Optimising vaccination strategies in equine influenza.. Vaccine 2003 Jun 20;21(21-22):2862-70.
          pubmed: 12798628doi: 10.1016/s0264-410x(03)00156-7google scholar: lookup
        14. Park AW, Wood JL, Daly JM, Newton JR, Glass K, Henley W, Mumford JA, Grenfell BT. The effects of strain heterology on the epidemiology of equine influenza in a vaccinated population.. Proc Biol Sci 2004 Aug 7;271(1548):1547-55.
          pmc: PMC1691760pubmed: 15306299doi: 10.1098/rspb.2004.2766google scholar: lookup
        15. WADDELL GH, TEIGLAND MB, SIGEL MM. A NEW INFLUENZA VIRUS ASSOCIATED WITH EQUINE RESPIRATORY DISEASE.. J Am Vet Med Assoc 1963 Sep 15;143:587-90.
          pubmed: 14077956
        16. Kawaoka Y, Bean WJ, Webster RG. Evolution of the hemagglutinin of equine H3 influenza viruses.. Virology 1989 Apr;169(2):283-92.
          pubmed: 2705299doi: 10.1016/0042-6822(89)90153-0google scholar: lookup
        17. Bryant NA, Rash AS, Russell CA, Ross J, Cooke A, Bowman S, MacRae S, Lewis NS, Paillot R, Zanoni R, Meier H, Griffiths LA, Daly JM, Tiwari A, Chambers TM, Newton JR, Elton DM. Antigenic and genetic variations in European and North American equine influenza virus strains (H3N8) isolated from 2006 to 2007.. Vet Microbiol 2009 Jul 2;138(1-2):41-52.
          pubmed: 19346084doi: 10.1016/j.vetmic.2009.03.004google scholar: lookup
        18. Koelle K, Khatri P, Kamradt M, Kepler TB. A two-tiered model for simulating the ecological and evolutionary dynamics of rapidly evolving viruses, with an application to influenza.. J R Soc Interface 2010 Sep 6;7(50):1257-74.
          pmc: PMC2894885pubmed: 20335193doi: 10.1098/rsif.2010.0007google scholar: lookup
        19. Barquero N, Daly JM, Newton JR. Risk factors for influenza infection in vaccinated racehorses: lessons from an outbreak in Newmarket, UK in 2003.. Vaccine 2007 Oct 23;25(43):7520-9.
          pubmed: 17889409doi: 10.1016/j.vaccine.2007.08.038google scholar: lookup
        20. Baguelin M, Newton JR, Demiris N, Daly J, Mumford JA, Wood JL. Control of equine influenza: scenario testing using a realistic metapopulation model of spread.. J R Soc Interface 2010 Jan 6;7(42):67-79.
          pmc: PMC2839373pubmed: 19364721doi: 10.1098/rsif.2009.0030google scholar: lookup
        21. Morton JM, Dups JN, Anthony ND, Dwyer JF. Epidemic curve and hazard function for occurrence of clinical equine influenza in a closed population of horses at a 3-day event in southern Queensland, Australia, 2007.. Aust Vet J 2011 Jul;89 Suppl 1:86-8.
          pubmed: 21711298doi: 10.1111/j.1751-0813.2011.00730.xgoogle scholar: lookup
        22. Cowled B, Ward MP, Hamilton S, Garner G. The equine influenza epidemic in Australia: spatial and temporal descriptive analyses of a large propagating epidemic.. Prev Vet Med 2009 Nov 1;92(1-2):60-70.
          pubmed: 19748691doi: 10.1016/j.prevetmed.2009.08.006google scholar: lookup
        23. Garner MG, Cowled B, East IJ, Moloney BJ, Kung NY. Evaluating the effectiveness of early vaccination in the control and eradication of equine influenza--a modelling approach.. Prev Vet Med 2011 Apr 1;99(1):15-27.
          pubmed: 20236718doi: 10.1016/j.prevetmed.2010.02.007google scholar: lookup
        24. Fournié G, Rushton J, Pfeiffer D. Disease modelling and the human factor.. Vet Rec 2012 Feb 11;170(6):157-8.
          pubmed: 22331784doi: 10.1136/vr.e588google scholar: lookup
        25. Firestone SM, Ward MP, Christley RM, Dhand NK. The importance of location in contact networks: Describing early epidemic spread using spatial social network analysis.. Prev Vet Med 2011 Dec 1;102(3):185-95.
          pubmed: 21852007doi: 10.1016/j.prevetmed.2011.07.006google scholar: lookup
        26. Pawelek KA, Huynh GT, Quinlivan M, Cullinane A, Rong L, Perelson AS. Modeling within-host dynamics of influenza virus infection including immune responses.. PLoS Comput Biol 2012;8(6):e1002588.
          pmc: PMC3386161pubmed: 22761567doi: 10.1371/journal.pcbi.1002588google scholar: lookup
        27. Saenz RA, Quinlivan M, Elton D, Macrae S, Blunden AS, Mumford JA, Daly JM, Digard P, Cullinane A, Grenfell BT, McCauley JW, Wood JL, Gog JR. Dynamics of influenza virus infection and pathology.. J Virol 2010 Apr;84(8):3974-83.
          pmc: PMC2849502pubmed: 20130053doi: 10.1128/jvi.02078-09google scholar: lookup
        28. Hughes J, Allen RC, Baguelin M, Hampson K, Baillie GJ, Elton D, Newton JR, Kellam P, Wood JL, Holmes EC, Murcia PR. Transmission of equine influenza virus during an outbreak is characterized by frequent mixed infections and loose transmission bottlenecks.. PLoS Pathog 2012 Dec;8(12):e1003081.
          pmc: PMC3534375pubmed: 23308065doi: 10.1371/journal.ppat.1003081google scholar: lookup
        29. Restif O, Hayman DT, Pulliam JR, Plowright RK, George DB, Luis AD, Cunningham AA, Bowen RA, Fooks AR, O'Shea TJ, Wood JL, Webb CT. Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics.. Ecol Lett 2012 Oct;15(10):1083-94.
          pmc: PMC3466409pubmed: 22809422doi: 10.1111/j.1461-0248.2012.01836.xgoogle scholar: lookup

        Citations

        This article has been cited 6 times.
        1. Whitlock F, Murcia PR, Newton JR. A Review on Equine Influenza from a Human Influenza Perspective. Viruses 2022 Jun 15;14(6).
          doi: 10.3390/v14061312pubmed: 35746783google scholar: lookup
        2. Fairbanks EL, Brennan ML, Mertens PPC, Tildesley MJ, Daly JM. Re-parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search. Transbound Emerg Dis 2022 Jul;69(4):e671-e681.
          doi: 10.1111/tbed.14420pubmed: 34921513google scholar: lookup
        3. Milwid RM, O'Sullivan TL, Poljak Z, Laskowski M, Greer AL. Comparing the effects of non-homogenous mixing patterns on epidemiological outcomes in equine populations: A mathematical modelling study. Sci Rep 2019 Mar 1;9(1):3227.
          doi: 10.1038/s41598-019-40151-2pubmed: 30824806google scholar: lookup
        4. Spence KL, O'Sullivan TL, Poljak Z, Greer AL. Using a computer simulation model to examine the impact of biosecurity measures during a facility-level outbreak of equine influenza. Can J Vet Res 2018 Apr;82(2):89-96.
          pubmed: 29755187
        5. Paillot R. A Systematic Review of Recent Advances in Equine Influenza Vaccination. Vaccines (Basel) 2014 Nov 14;2(4):797-831.
          doi: 10.3390/vaccines2040797pubmed: 26344892google scholar: lookup
        6. Chambers TM. Equine Influenza. Cold Spring Harb Perspect Med 2022 Jan 4;12(1).
          doi: 10.1101/cshperspect.a038331pubmed: 32152243google scholar: lookup
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