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Preventive veterinary medicine2021; 190; 105319; doi: 10.1016/j.prevetmed.2021.105319

Impact of changes of horse movement regulations on the risks of equine infectious anemia: A risk assessment approach.

Abstract: Equine infectious anemia virus (EIAV) is a transboundary disease affecting a large number of equines worldwide. In this study, we assessed the transmission risk of EIAV in Rio Grande do Sul, Brazil. Serum samples from 1010 animals from 341 farms were initially analyzed using agar gel immunodiffusion to detect viral antibodies, and no antibody-positive animals were found. A risk assessment stochastic model was applied to generate the expected number of potential infections per month and to estimate the time to new infections. Our results estimated 6.5 months as the interval for new infections in the worst-case scenario. Among the variables evaluated, the number of transported animals and the test sensitivity influenced the model the most. These results were then used to revisit the impact of EIAV control regulations, which triggered a change in the diagnostic testing required for animal movement, in which the validity of a negative test for EIAV was extended from 60 to 180 days. Finally, revisiting the annual average of infected farms before and after the new regulation, the number of infected farms increased pre-implementation, and then, the number of culled animals increased, which should impact future EIAV incidence in this region. Our results demonstrated the importance of constant reviews of disease control programs and provided quantitative-based knowledge for decision-makers in official veterinary services.
Publication Date: 2021-03-03 PubMed ID: 33713963DOI: 10.1016/j.prevetmed.2021.105319Google Scholar: Lookup
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  • Journal Article

Summary

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The article researches the risks associated with the transmission of Equine Infectious Anemia Virus (EIAV), with particular emphasis on changes to horse movements in Rio Grande do Sul, Brazil. The findings indicate that changes in regulations in diagnostic testing for animal movement could impact the incidence of this virus in the area.

Methodology and Findings

  • The research’s starting point is the collection of serum samples from 1010 animals across 341 farms. An agar gel immunodiffusion test was used to reveal the presence of antibodies to the EIAV, yet none were found in the initial analysis.
  • A risk assessment model, specifically stochastic in nature, was then applied to understand the potential for disease spread. Using this model, researchers could project the expected number of infections per month and estimate the time till new infections would occur.
  • In the worst-case scenario, new infections were expected to surface every 6.5 months. Among the identified variables, two were highly influential on the model’s outcomes: the number of animals transported and the sensitivity of the test used to detect the virus.

The Impact of Regulatory Change

  • This study also re-evaluated the repercussions of a change in EIAV control regulation. It particularly focused on a change in the diagnostic testing requirement for animal movement. Specifically, the validity period of a negative test for EIAV got extended from 60 to 180 days.
  • Upon the regulation’s reevaluation, an increase was detected in the average annual number of infected farms before the rule was put into effect. Post-implementation of these regulations culminated in an increased number of culled animals, thereby forecasting a future increase in EIAV incidence in the evaluated region.

Implication and Conclusions

  • This research enhances understanding of the possible implications of disease control regulatory changes. It also illustrates the importance of consistent reviews of control programs from a quantitative perspective. The findings of this comprehensive risk assessment study provide valuable data to aid officials in veterinary services make informed decisions about disease control strategies.

Cite This Article

APA
Machado G, Corbellini LG, Frias-De-Diego A, Dieh GN, Dos Santos DV, Jara M, de Freitas Costa E. (2021). Impact of changes of horse movement regulations on the risks of equine infectious anemia: A risk assessment approach. Prev Vet Med, 190, 105319. https://doi.org/10.1016/j.prevetmed.2021.105319

Publication

ISSN: 1873-1716
NlmUniqueID: 8217463
Country: Netherlands
Language: English
Volume: 190
Pages: 105319
PII: S0167-5877(21)00063-5

Researcher Affiliations

Machado, Gustavo
  • Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, NC, USA. Electronic address: gmachad@ncsu.edu.
Corbellini, Luis Gustavo
  • Laboratory of Veterinary Epidemiology (Epilab), Department of Preventive Veterinary Medicine, Universidade Federal do Rio Grande do Sul, RS, Brazil.
Frias-De-Diego, Alba
  • Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, NC, USA.
Dieh, Gustavo Nogueira
  • Secretary of Agriculture, Livestock and Agribusiness of State of Rio Grande do Sul (SEAPA-RS), Av. Getúlio Vargas, 1384, CEP: 95150-900, Porto Alegre, RS, Brazil.
Dos Santos, Diego Viali
  • Departamento de Saúde Animal, Secretaria de Defesa Agropecuária, Ministério da Agricultura Pecuária e Abastecimento, Brasília, Brazil.
Jara, Manuel
  • Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, NC, USA.
de Freitas Costa, Eduardo
  • Laboratory of Veterinary Epidemiology (Epilab), Department of Preventive Veterinary Medicine, Universidade Federal do Rio Grande do Sul, RS, Brazil.

MeSH Terms

  • Animals
  • Antibodies, Viral
  • Brazil / epidemiology
  • Equine Infectious Anemia / epidemiology
  • Horse Diseases / epidemiology
  • Horse Diseases / virology
  • Horses
  • Infectious Anemia Virus, Equine
  • Risk Assessment
  • Transportation

Citations

This article has been cited 1 times.
  1. Cardenas NC, Sanchez F, Lopes FPN, Machado G. Coupling spatial statistics with social network analysis to estimate distinct risk areas of disease circulation to improve risk-based surveillance.. Transbound Emerg Dis 2022 Sep;69(5):e2757-e2768.
    doi: 10.1111/tbed.14627pubmed: 35694801google scholar: lookup