Analyze Diet
Equine veterinary journal2026; doi: 10.1002/evj.70156

What happened after the epidemic? Equine influenza surveillance sheds light on sources and seasonal risk in the United Kingdom.

Abstract: The epidemiology of equine influenza (EI) in the United Kingdom has not been systematically described since the 2019 epidemic. Objective: To summarise UK EI surveillance (2020-2024), quantify outbreak seasonality and assess movement-related sources. Methods: Retrospective observational analysis of national surveillance and horse importation data. Methods: Epidemiological data for laboratory-confirmed EI cases in the United Kingdom were collated. Outbreaks (EI-infected premises) were defined as one or more laboratory-confirmed cases on the same premises within a 4-week period. Monthly outbreak counts were analysed using negative binomial regression with year, calendar-quarter and ordered quartiles of 1-month lagged Irish exports to the United Kingdom by equid commodity code. A subset of Q4-2022 sales-related EI outbreaks were mapped. Results: Epidemiological data were available for 149 cases on 126 premises. Outbreaks displayed a repeatable late-year pattern: Q4 (October to December) accounted for 52% (65/126), with a 3.25-fold higher per-month rate than the rest of the year. Over 75% (95/126) of premises reported a new arrival within ≤2 weeks; 56% (28/50) of index new-arrival cases with recorded origin came from Ireland. Q4 incidence exceeded Q1 (incidence rate ratio [IRR] 6.9, p < 0.001) and years 2021-2024 incidence exceeded 2020 (IRRs 4.5-5.6, p < 0.001). Adding lagged Irish imports other than pure-bred breeding animals, improved fit, attenuated the Q4 effect (IRR = 3.9, p < 0.001) and identified higher import quartiles as predictors (quartile-3: IRR 4.5, p < 0.001; quartile-4: IRR 3.7, p < 0.001). Conclusions: Under-ascertainment, UK-wide exposure data versus Great Britain-only outcomes, COVID-19 suppression of movements/testing in 2020. Conclusions: EI in the United Kingdom in 2020-2024 was characterised by a notable October to December risk window and strong links to horse movements. Trade in non-pure-bred horses aligns with outbreak timing and partly explains the seasonal excess. Control measures should prioritise vaccination of new arrivals, post-arrival quarantine and strengthened biosecurity during transport. Unassigned: Die Epidemiologie der Pferdegrippe, Equinen Infuluenza (EI), im Vereinigten Königreich (UK) wurde seit der Epidemie von 2019 nicht systematisch beschrieben. Unassigned: Zusammenfassung der EI‐Surveillance im Vereinigten Königreich (2020–2024), Quantifizierung der saisonalen Ausbrüche und Bewertung der mit Transporten verbundenen Ursachen. Methods: Retrospektive Beobachtungsanalyse nationaler Überwachungs‐ und Pferdeimportdaten. Methods: Es wurden epidemiologische Daten zu laborbestätigten EI‐Fällen im Vereinigten Königreich zusammengestellt. Ausbrüche (mit EI infizierte Betriebe) wurden als ein oder mehrere laborbestätigte Fälle in demselben Betrieb innerhalb eines Zeitraums von vier Wochen definiert. Die monatlichen Ausbruchszahlen wurden unter Verwendung einer negativen binomialen Regression mit Jahr, Kalenderquartal und geordneten Quartilen der um einen Monat verzögerten irischen Exporte in das Vereinigte Königreich nach Equiden‐Zolltarifnummern analysiert. Eine Untergruppe der verkaufsbezogenen EI‐Ausbrüche im vierten Quartal 2022 wurde kartografisch dargestellt. Results: Epidemiologische Daten lagen für 149 Fälle in 126 Einrichtungen vor. Die Ausbrüche zeigten ein wiederkehrendes Muster zum Jahresende: 52% (65/126) entfielen auf das 4. Quartal (Oktober bis Dezember), wobei die monatliche Rate 3,25‐mal höher war als im Rest des Jahres. Über 75% (95/126) der Einrichtungen meldeten innerhalb von ≤2 Wochen einen Neuzugang; 56% (28/50) der Indexfälle von Neuzugängen mit dokumentierter Herkunft stammten aus Irland. Die Inzidenz im vierten Quartal übertraf die des ersten Quartals (Inzidenzratenverhältnis [IRR] 6,9, p < 0,001) und die Inzidenz in den Jahren 2021–2024 übertraf die von 2020 (IRRs 4,5–5,6, p < 0,001). Durch Hinzufügen von verzögerten Importen aus Irland, die keine reinrassigen Zuchttiere waren, verbesserte sich die Anpassung, der Q4‐Effekt wurde abgeschwächt (IRR = 3,9, p < 0,001) und höhere Importquartile wurden als Prädiktoren identifiziert (Quartil 3: IRR 4,5, p < 0,001; Quartil 4: IRR 3,7, p < 0,001). HAUPTEINSCHRÄNKUNGEN: Untererfassung; britische Expositionsdaten im Vergleich zu Ergebnissen nur für Großbritannien; COVID‐19‐bedingte Einschränkung von Bewegungen/Tests im Jahr 2020. Unassigned: Die EI im Vereinigten Königreich in den Jahren 2020–2024 war durch einen auffälligen Risiko‐Zeitraum von Oktober bis Dezember und einen starken Zusammenhang mit Pferdetransporten gekennzeichnet. Der Handel mit nicht reinrassigen Pferden deckt sich mit dem Zeitpunkt des Ausbruchs und erklärt teilweise den saisonalen Anstieg. Kontrollmaßnahmen sollten die Impfung von Neuankömmlingen, die Quarantäne nach der Ankunft und eine verstärkte Biosicherheit während des Transports priorisieren.
Publication Date: 2026-03-05 PubMed ID: 41787702DOI: 10.1002/evj.70156Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

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.

Overview

  • This study analyzed equine influenza (EI) surveillance data in the United Kingdom from 2020 to 2024 to identify patterns in outbreak timing and the role of horse movements, especially imports from Ireland, in disease spread.
  • The research found a strong seasonal peak in outbreaks during October to December, significantly linked to recent arrivals of horses, particularly non-pure-bred imports from Ireland, informing recommendations for targeted control measures.

Background and Objectives

  • Equine influenza is a contagious respiratory disease affecting horses, with notable outbreaks causing economic and animal health impacts.
  • After a major EI epidemic in 2019, systematic data on the disease’s epidemiology in the UK had not been reported.
  • The study aimed to summarize national EI surveillance between 2020 and 2024:
    • Quantify the seasonality of EI outbreaks across the UK.
    • Assess the influence of horse movements and imports, especially from Ireland, as sources of outbreaks.

Methods

  • The research was a retrospective observational analysis using two main datasets:
    • National surveillance data of laboratory-confirmed EI cases in the UK.
    • Records of horse importation, with a focus on equid commodity codes to categorize horses.
  • Outbreaks were defined as one or more confirmed EI cases on the same premises within a 4-week period.
  • Statistical analysis involved:
    • Negative binomial regression to analyze monthly counts of outbreaks.
    • Covariates included calendar year, calendar quarter, and quartiles of 1-month lagged Irish exports by horse type.
  • An additional mapping analysis was done for outbreaks linked to sales in the last quarter of 2022.

Key Results

  • A total of 149 EI cases were recorded on 126 premises across the UK during 2020-2024.
  • Seasonality:
    • 52% of outbreaks occurred in the fourth quarter (October-December).
    • The rate of outbreaks per month during Q4 was 3.25 times higher than other quarters.
  • Horse movements as outbreak sources:
    • Over 75% of affected premises reported receiving a new horse arrival within two weeks prior to outbreak detection.
    • Of index (first) new arrival cases with known origin, 56% came from Ireland.
  • Temporal trends:
    • Incidence in Q4 was significantly higher compared to Q1 (incidence rate ratio [IRR] 6.9, highly significant).
    • Years 2021 to 2024 showed higher outbreak incidences than 2020 (IRRs 4.5 to 5.6).
  • Role of Irish imports:
    • Including lagged import data for non-pure-bred horses from Ireland improved model fit and lessened the strength of the Q4 seasonal effect (IRR reduced to 3.9).
    • Higher import quartiles were strong predictors of outbreak risk (Quartile 3 IRR 4.5; Quartile 4 IRR 3.7, p < 0.001).

Limitations

  • Potential under-reporting or under-ascertainment of EI cases and outbreaks.
  • Difference in exposure data at UK-wide level versus case outcome data limited to Great Britain only (England, Scotland, Wales), possibly affecting interpretation.
  • Restrictions and disruptions caused by the COVID-19 pandemic in 2020 may have limited horse movements and testing, influencing data quality and outbreak frequency that year.

Conclusions and Implications

  • EI outbreaks in the UK from 2020-2024 exhibit a distinct seasonal risk period in the last quarter of the year, roughly October to December.
  • This increased late-year risk is strongly associated with horse movements, particularly imports of non-pure-bred horses from Ireland.
  • Trade and movements of these horses align well with the timing of outbreaks, explaining much of the seasonal excess in cases.
  • Recommended control measures based on these insights include:
    • Prioritizing vaccination for newly arriving horses to reduce susceptibility.
    • Implementing post-arrival quarantine protocols to limit disease spread from new arrivals.
    • Enhancing biosecurity standards and practices, especially during transport.
  • These targeted interventions could effectively reduce the occurrence and impact of future EI outbreaks in the UK.

Cite This Article

APA
Whitlock F, Grewar J, Newton R. (2026). What happened after the epidemic? Equine influenza surveillance sheds light on sources and seasonal risk in the United Kingdom. Equine Vet J. https://doi.org/10.1002/evj.70156

Publication

ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English

Researcher Affiliations

Whitlock, Fleur
  • Equine Infectious Disease Surveillance (EIDS), Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Grewar, John
  • jDATA (Pty) Ltd, Sandbaai, South Africa.
Newton, Richard
  • Equine Infectious Disease Surveillance (EIDS), Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.

References

This article includes 35 references
  1. Cullinane A, Newton JR. Equine influenza—a global perspective.. Vet Microbiol 2013;167(1‐2):205–214.
  2. Shittu I, Meseko CA, Sulaiman LP, Inuwa B, Mustapha M, Zakariya PS. Fatal multiple outbreaks of equine influenza H3N8 in Nigeria, 2019: the first introduction of Florida clade 1 to West Africa.. Vet Microbiol 2020;248.
  3. Paillot R, El Hage CM. The use of a recombinant canarypox‐based equine influenza vaccine during the 2007 Australian outbreak: a systematic review and summary.. Pathogens 2016;5(2).
    doi: 10.3390/pathogens5020042google scholar: lookup
  4. World Organisation for Animal Health (WOAH). Conclusions and recommendations of the expert surveillance panel on equine influenza vaccine composition.. WOAH Bulletin 2024.
  5. Waddell GH, Teigland MB, Sigel MM. A new influenza virus associated with equine respiratory disease.. J Am Vet Med Assoc 1963;143:587–590.
  6. 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;158(6):185–192.
    doi: 10.1136/vr.158.6.185google scholar: lookup
  7. Elton D, Bryant N. Facing the threat of equine influenza.. Equine Vet J 2011;43(3):250–258.
  8. Yamanaka T, Niwa H, Tsujimura K, Kondo T, Matsumura T. Epidemic of equine influenza among vaccinated racehorses in Japan in 2007.. J Vet Med Sci 2008;70(6):623–625.
    doi: 10.1292/jvms.70.623google scholar: lookup
  9. Virmani N, Bera BC, Singh BK, Shanmugasundaram K, Gulati BR, Barua S. Equine influenza outbreak in India (2008‐09): virus isolation, sero‐epidemiology and phylogenetic analysis of HA gene.. Vet Microbiol 2010;143(2–4):224–237.
  10. Perglione CO, Gildea S, Rimondi A, Miño S, Vissani A, Carossino M. Epidemiological and virological findings during multiple outbreaks of equine influenza in South America in 2012.. Influenza Other Respi Viruses 2016;10(1):37–46.
    doi: 10.1111/irv.12349google scholar: lookup
  11. Olguin‐Perglione C, Vissani MA, Alamos F, Tordoya MS, Barrandeguy M. Multifocal outbreak of equine influenza in vaccinated horses in Argentina in 2018: epidemiological aspects and molecular characterisation of the involved virus strains.. Equine Vet J 2020;52(3):420–427.
    doi: 10.1111/evj.13176google scholar: lookup
  12. Whitlock F, Grewar J, Newton R. An epidemiological overview of the equine influenza epidemic in Great Britain during 2019.. Equine Vet J 2023;55(1):153–164.
    doi: 10.1111/evj.13874google scholar: lookup
  13. Newton JR, Verheyen K, Wood JLN, Yates PJ, Mumford JA. Equine influenza in the United Kingdom in 1998.. Vet Rec 1999;145(16):449–452.
    doi: 10.1136/vr.145.16.449google scholar: lookup
  14. Lu Z, Chambers TM, Boliar S, Branscum AJ, Sturgill TL, Timoney PJ. Development and evaluation of one‐step TaqMan real‐time reverse transcription‐PCR assays targeting nucleoprotein, matrix, and hemagglutinin genes of equine influenza virus.. J Clin Microbiol 2009;47(12):3907–3913.
    doi: 10.1128/jcm.00598-09google scholar: lookup
  15. World Organisation for Animal Health. Equine influenza (Infection with equine influenza virus) (Chapter 3.6.7).. Manual of diagnostic tests and vaccines for terrestrial animals 13th ed. Paris: WOAH; 2024.
  16. Balasuriya UBR, Lee PYA, Tiwari A, Skillman A, Nam B, Chambers TM. Rapid detection of equine influenza virus H3N8 subtype by insulated isothermal RT‐PCR (iiRT‐PCR) assay using the POCKITTM nucleic acid analyzer. J Virol Methods 2014;207:66–72.
  17. Valot L, Prévost K, Legrand L, Hans A, Pronost S. LAMP: DNA/RNA amplification technology as a point of care tool to help diagnose pathogens causing respiratory diseases in horses. Equine Vet J 2024;56(S60):85.
    doi: 10.1111/evj.14359google scholar: lookup
  18. Wickham H, Ooms J, Müller K. RPostgres: C++ interface to PostgreSQL. CRAN: contributed packages 2017.
  19. Wickham H, François R, Henry L, Müller K, Vaughan D. Dplyr: a grammar of data manipulation. CRAN: contributed packages 2014.
  20. Wickham H, Chang W, Henry L, Pedersen TL, Takahashi K, Wilke C. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. CRAN: contributed packages 2007.
  21. Wickham H, Vaughan D, Girlich M. Tidyr: tidy messy data. CRAN: contributed packages 2014.
  22. QGIS Development Team. QGIS geographic information system. J Open Source Softw 2021;6(64):3673.
  23. Ripley B, Venables B. MASS: support functions and datasets for venables and Ripley's MASS. CRAN: contributed packages 2009.
  24. Bochtler P, Goers H, Muir C. Comtradr: interface with the United Nations Comtrade API. CRAN: contributed packages 2017.
  25. Equine Infectious Disease Surveillance (EIDS). EquiFluNet. [cited 2025 Oct 1]. Available from: https://equinesurveillance.org/equiflunet/.
  26. Mojsiejczuk L, Whitlock F, Chen H, Magill C, Aranday‐Cortes E, Bone J. Multiple introductions of equine influenza virus into the United Kingdom resulted in widespread outbreaks and lineage replacement. PLoS Pathog 2025;21(6):e1013227.
  27. Firestone SM, Christley RM, Ward MP, Dhand NK. Adding the spatial dimension to the social network analysis of an epidemic: investigation of the 2007 outbreak of equine influenza in Australia. Prev Vet Med 2012;106(2):123–135.
  28. Timoney PJ. Factors influencing the international spread of equine diseases. Vet Clin North Am Equine Pract 2000;16(3):537–551.
  29. McGlennon AA, Verheyen KL, Newton JR, van Tonder A, Wilson H, Parkhill J. Unwelcome neighbours: tracking the transmission of Streptococcus equi in the United Kingdom horse population. Equine Vet J 2026;58(2):533–548.
    doi: 10.1111/evj.14558google scholar: lookup
  30. Equine Infectious Disease Surveillance (EIDS). ICC Viewer. International Collating Centre. [cited 2025 Oct 1]. Available from: https://equinesurveillance.org/iccview/.
  31. Gildea S, Lyons P, Lyons R, Gahan J, Garvey M, Cullinane A. Annual booster vaccination and the risk of equine influenza to Thoroughbred racehorses. Equine Vet J 2020;52(4):509–515.
    doi: 10.1111/evj.13210google scholar: lookup
  32. Gildea S, Fitzpatrick DA, Cullinane A. Epidemiological and virological investigations of equine influenza outbreaks in Ireland (2010–2012). Influenza Other Respi Viruses 2013;7(SUPPL.4):61–72.
    doi: 10.1111/irv.12192google scholar: lookup
  33. Cullinane A. Equine influenza and air transport. Equine Vet Educ 2014;26(9):456–457.
    doi: 10.1111/eve.12215google scholar: lookup
  34. Firestone SM, Schemann KA, Toribio JALML, Ward MP, Dhand NK. A case‐control study of risk factors for equine influenza spread onto horse premises during the 2007 epidemic in Australia. Prev Vet Med 2011;100(1):53–63.
  35. 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;92(1–2):60–70.

Citations

This article has been cited 0 times.