Abstract: During 2019, an epidemic of equine influenza (EI) occurred in Europe. Objective: To describe the epidemiology of the 2019 EI epidemic within Great Britain (GB). Methods: Retrospective descriptive study of laboratory confirmed EI cases. Methods: Epidemiological data were obtained from veterinary surgeons referring samples for EI virus testing. Where available, data on confirmed cases and their wider resident population on EI-infected premises were collated and described. On a national level, spatial and temporal representations, consisting of choropleth maps and epidemic curves, described the spread of EI. EI-infected premises-level factors associated with the first of two epidemic phases were investigated using ordinary logistic regression analysis. Results: There were 412 confirmed cases and 234 EI-infected premises, with the first of two epidemic phases occurring between January and April, followed by a second phase through to August. The median age of confirmed cases was 5 years and Sports horses (24%) and Cobs (16%) made up the highest proportions by general horse type and breed. Among confirmed cases 72% were unvaccinated and 18% were vaccinated against EI. New horses arriving within 2 weeks of a confirmed case were reported by 42% of EI-infected premises. Investigation of EI-infected premises biosecurity measures indicated that 23% quarantined new arrivals, 37% had isolation facilities and 57% of resident horses were vaccinated. EI-infected premises were more likely in the first than second epidemic phase to be classified as professional, have a vaccinated confirmed case and EI confirmed in a newly arrived animal. Conclusions: Data were collected at a single time point for each EI-infected premises with no follow ups performed. Conclusions: During 2019, EI-infected premises generally had low levels of population vaccine coverage and implemented limited preventive biosecurity measures, particularly linked to horse movements. Without substantial improvements in infectious disease prevention and control, the GB equine population remains at risk of future EI epidemics.
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.
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.
The research examines the occurrence and spread of the 2019 equine influenza (EI) epidemic in Great Britain and the associated factors, including lack of vaccinations and preventive biosecurity measures.
Overview of the Research
The study is a retrospective analysis of the equine influenza (EI) epidemic that hit Great Britain in 2019.
Data used in the research was obtained from veterinary surgeons who submitted samples for EI virus testing. The investigators also collated information about confirmed cases and their local populations on infected premises.
The spatial and temporal spread of the disease was analyzed, and the risk factors linked to EI-infected premises were evaluated using logistic regression analysis.
Findings of the Study
The research reveals there were a total of 412 confirmed cases on 234 EI-infected premises. Two epidemic phases were observed – the first from January to April and the second extended until August.
The median age of confirmed cases was 5 years, with sports horses and cobs being the highest represented among general horse types and breed.
Of these confirmed cases, 72% had not been vaccinated, and 18% were vaccinated against EI. Interestingly, new horses were reported to have arrived within two weeks of a confirmed case on 42% of the infected premises.
The study disclosed significant information about the biosecurity measures, with merely 23% of the premises quarantining new arrivals, 37% having isolation facilities, and 57% of resident horses being vaccinated.
The research also found that premises affected in the first phase of the epidemic were more likely to be classified as professional, have a vaccinated confirmed case, and were more likely to have EI confirmed in a newly arrived animal.
Conclusions of the Study
The data in the study was collected only at single time points for each EI-infected premises, and no follow-up investigations were performed.
From the findings, it is apparent that there was generally low population vaccine coverage during the 2019 EI epidemic, and there were only limited preventive biosecurity measures implemented- particularly linked to horse movements.
Without significant improvements in measures to prevent and control infectious diseases, the study indicates that the equine population in Great Britain continues to face a substantial risk for future EI epidemics.
Cite This Article
APA
Whitlock F, Grewar J, Newton R.
(2022).
An epidemiological overview of the equine influenza epidemic in Great Britain during 2019.
Equine Vet J, 55(1), 153-164.
https://doi.org/10.1111/evj.13874
Fouchier RA, Bestebroer TM, Herfst S, Van Der Kemp L, Rimmelzwaan GF, Osterhaus AD. Detection of influenza A viruses from different species by PCR amplification of conserved sequences in the matrix gene.. J Clin Microbiol 2000 Nov;38(11):4096-101.
R Core Team, R Development Core Team. R: a language and environment for statistical computing. 2019.
Team Rs. RStudio: integrated development for R. 2020.
Conway J, Eddelbuettel D, Nishiyama T, Prayaga SK, Tiffin N. RPostgreSQL: R interface to the PostgreSQL database system. CRAN R package version 0.6‐2. 2017.
Wickham H, François R, Henry L, Müller K. dplyr: a grammar of data manipulation. R package version 2020.
Wickham H, Henry L. tidyr: Tidy Messy Data. R package version 102. 2020.
Gehlenborg N. UpSetR: an R package for the visualization of intersecting sets and their properties. UpSetR: a more scalable alternative to Venn and Euler diagrams for visualizing intersecting sets. 2019.
Hodgkinson CR, Slater J, Brennan ML, Robin CA, Dyson S, Ireland JL. Implementation of biosecurity on equestrian premises in Great Britain. Equine Vet J 2018;50(s52):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.
Walker-Panse L, Rash A, Huckstep J, Blake S, Whitlock F, Elton D. Equine influenza virus surveillance in the United Kingdom from 2019 to 2021. Equine Vet J 2021;53(s56):78–9.
Ou J, Dai Y, Jiang Y, Dai L, Xu L, Lu G, Lou G, Li S. Identification of the functional domains of canine tetherin in antiviral activity against canine influenza virus. Front Vet Sci 2025;12:1560273.