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Research in veterinary science2025; 189; 105628; doi: 10.1016/j.rvsc.2025.105628

Clusters of high transmission risk and time series for Equine Infectious Anemia in Brazil.

Abstract: This study identifies high-risk areas for Equine Infectious Anemia (EIA) in Brazil and analyzes the temporal trend of the disease across regions and Federative Units over an 18-year period (2006-2023), using data from the National Animal Health Information System (SIZ). During the analyzed period, 111,826 cases of EIA were reported in Brazil, with a predominance in the Northeast (39.75 %), Central-West (27.56 %), and North (20.95 %) regions. The state of Mato Grosso recorded the highest number of cases (17.02 %), while Sergipe had the lowest (0.36 %). In the incidence risk analysis, the states of Ceará (8287.84/100,000 horses), Roraima (7024.92/100,000 horses), and Maranhão (6761.95/100,000 horses) were particularly notable. High-risk clusters were observed in the states of Amapá, Pará, Maranhão, Roraima, Tocantins, Piauí, Amazonas, Ceará, Mato Grosso, Rondônia, Rio Grande do Norte, and Pernambuco. Although Brazil showed a reduction in the EIA virus infection rate (AAPC: -8.4; CI: -11.2 to -5.4), the South region displayed an increasing trend (AAPC: 6.5; CI: 2.9 to 10.3). The results highlight the importance of spatial, spatiotemporal, and temporal trend analyses in monitoring EIA, enabling the identification of high-risk areas and guiding more effective control policies under the National Equine Health Program.
Publication Date: 2025-03-28 PubMed ID: 40209541DOI: 10.1016/j.rvsc.2025.105628Google Scholar: Lookup
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  • Journal Article

Summary

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Overview

  • This study mapped and analyzed the patterns and trends of Equine Infectious Anemia (EIA) cases reported in Brazil over an 18-year period, identifying key high-risk regions and temporal changes in disease incidence across different states and regions.

Introduction to Equine Infectious Anemia and Study Goals

  • Equine Infectious Anemia (EIA) is a viral disease affecting horses, which can lead to significant health issues and economic losses in the equine industry.
  • The study’s primary objective was to identify geographic clusters with higher risk of EIA transmission in Brazil and to analyze how the incidence of EIA changed over time from 2006 to 2023.
  • Understanding spatial and temporal trends assists in improving disease surveillance and informing targeted control strategies under Brazil’s National Equine Health Program.

Data and Methodology

  • Data Source: The study utilized reported EIA cases from the National Animal Health Information System (SIZ) in Brazil.
  • Time Period: Data spanned from 2006 to 2023, covering 18 years of reported cases.
  • Analysis Focus:
    • Spatial Analysis: Identifying clusters or hotspots where infection risk was higher.
    • Spatiotemporal Analysis: Understanding how these clusters changed or persisted over time.
    • Temporal Trend Analysis: Examining year-to-year changes in incidence rates within regions and states.

Key Findings

  • Total Cases: 111,826 EIA cases were reported nationwide over the study period.
  • Regional Distribution:
    • Northeast Region accounted for the largest proportion of cases at nearly 40%.
    • Central-West and North regions followed, contributing approximately 27.56% and 20.95% of cases respectively.
  • State-Level Incidence:
    • Mato Grosso (Central-West) had the highest absolute number of cases (17.02%).
    • Sergipe (Northeast) had the fewest cases (0.36%).
    • When considering incidence risk relative to the horse population, Ceará, Roraima, and Maranhão showed extremely high risk rates, exceeding 6,700 cases per 100,000 horses, highlighting localized intense transmission.
  • High-Risk Clusters: Identified in multiple states primarily across the North, Northeast, and parts of the Central-West regions, including Amapá, Pará, Maranhão, Roraima, Tocantins, Piauí, Amazonas, Ceará, Mato Grosso, Rondônia, Rio Grande do Norte, and Pernambuco.
  • Temporal Trends:
    • Overall, Brazil showed a significant decreasing trend in EIA infection rates (average annual percentage change [AAPC] of -8.4%), indicating improved control or decreased transmission nationally.
    • Contrastingly, the South region exhibited an increasing trend in EIA incidence (AAPC of 6.5%), which requires targeted attention and investigation.

Implications and Importance

  • The identification of geographic hotspots and temporal trends enhances understanding of where and when EIA poses the greatest risk, enabling resource prioritization.
  • Recognition of regions with increasing trends, like the South, can prompt focused epidemiological investigations and tailored intervention strategies.
  • Spatial and temporal surveillance is key to interrupting transmission chains and reducing the disease burden.
  • The study supports the National Equine Health Program in Brazil by providing evidence to:
    • Develop or improve location-specific control measures.
    • Implement more efficient vaccination or testing programs.
    • Support policy decisions and deploy veterinary public health resources more effectively.

Conclusion

  • This comprehensive study underscored persistent high-risk areas for EIA in Brazil, with notable geographic and temporal variability.
  • The findings recommend continued and enhanced surveillance using spatial and temporal techniques to monitor EIA and adapt control measures dynamically.
  • Such work is essential for reducing EIA transmission, safeguarding equine health, and minimizing economic impact in Brazil.

Cite This Article

APA
da Silva VV, de Sá Barreto Maia Leite DP, de Crasto Souza Carvalho Reis J, de Almeida Braz BM, Junior JWP, de Almeida JC, Mota RA. (2025). Clusters of high transmission risk and time series for Equine Infectious Anemia in Brazil. Res Vet Sci, 189, 105628. https://doi.org/10.1016/j.rvsc.2025.105628

Publication

ISSN: 1532-2661
NlmUniqueID: 0401300
Country: England
Language: English
Volume: 189
Pages: 105628
PII: S0034-5288(25)00102-X

Researcher Affiliations

da Silva, Valdir Vieira
  • Department of Veterinary Medicine, Federal Rural University of Pernambuco - UFRPE, R. Manuel de Medeiros, s/n, Dois Irmãos, Recife, PE 52171-900, Brazil. Electronic address: valdir.vieira@ufrpe.br.
de Sá Barreto Maia Leite, Denny Parente
  • Department of Veterinary Medicine, Federal Rural University of Pernambuco - UFRPE, R. Manuel de Medeiros, s/n, Dois Irmãos, Recife, PE 52171-900, Brazil.
de Crasto Souza Carvalho Reis, Jéssica
  • Department of Veterinary Medicine, Federal Rural University of Pernambuco - UFRPE, R. Manuel de Medeiros, s/n, Dois Irmãos, Recife, PE 52171-900, Brazil.
de Almeida Braz, Beatriz Maria
  • Department of Veterinary Medicine, Federal University of Alagoas - UFAL, Fazenda São Luiz, s/n, Viçosa, AL 57700-970, Brazil.
Junior, José Wilton Pinheiro
  • Department of Veterinary Medicine, Federal Rural University of Pernambuco - UFRPE, R. Manuel de Medeiros, s/n, Dois Irmãos, Recife, PE 52171-900, Brazil.
de Almeida, Jonatas Campos
  • Department of Veterinary Medicine, Federal University of Alagoas - UFAL, Fazenda São Luiz, s/n, Viçosa, AL 57700-970, Brazil.
Mota, Rinaldo Aparecido
  • Department of Veterinary Medicine, Federal Rural University of Pernambuco - UFRPE, R. Manuel de Medeiros, s/n, Dois Irmãos, Recife, PE 52171-900, Brazil.

MeSH Terms

  • Animals
  • Brazil / epidemiology
  • Horses
  • Equine Infectious Anemia / epidemiology
  • Equine Infectious Anemia / transmission
  • Risk Factors
  • Incidence
  • Infectious Anemia Virus, Equine / physiology
  • Cluster Analysis

Conflict of Interest Statement

Declaration of competing interest The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Citations

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