Analysis of Spatial Distribution, Spatiotemporal Dynamics, and Temporal Trends of Equine Infectious Anemia, Glanders, and Rabies in Equines in Brazil
Infectious diseases; Geographic analysis; Space-time clusters; Zoonosis; Epidemiological surveillance.
Equine farming in Brazil is a highly relevant agricultural sector both economically and socially, and infectious diseases such as Equine Infectious Anemia (EIA), Glanders, and Rabies pose significant challenges to the production chain as they impact animal health. This study aimed to map and identify high-risk areas for Equine Infectious Anemia, Glanders, and Rabies in horses in Brazil through spatial, spatiotemporal, and temporal trend analyses from 2006 to 2023, using data from the Animal Health Information System (SIZ). For EIA, a total of 111,826 cases were reported, with the highest frequency in the Northeast (39.75%), Central-West (27.56%), and North (20.95%) regions. The state of Mato Grosso (MT) recorded the highest number of cases (17.02%), while Ceará (CE) presented the highest incidence risk (8,287.84/100,000 horses). High-risk clusters were identified in the states of Amapá (AP), Pará (PA), Maranhão (MA), Roraima (RR), Tocantins (TO), Piauí (PI), Amazonas (AM), Ceará (CE), Mato Grosso (MT), Rondônia (RO), Rio Grande do Norte (RN), and Pernambuco (PE). Data analysis revealed an overall reduction in the EIA virus infection rate in Brazil (AAPC: -8.4%; CI: -11.2 to -5.4), except in the South region, which showed an increasing trend (AAPC: 6.5%; CI: 2.9 to 10.3). Regarding Glanders, 2,654 cases were recorded, predominantly in the Northeast (52.19%), where Pernambuco (PE) had the highest incidence risk (342.58/100,000). Primary clusters were identified in the states of Rio Grande do Norte (RN), Paraíba (PB), Pernambuco (PE), Alagoas (AL), Ceará (CE), and Piauí (PI), while secondary clusters were observed in Amazonas (AM), Santa Catarina (SC), Rio Grande do Sul (RS), Mato Grosso (MT), Rio de Janeiro (RJ), São Paulo (SP), and the Federal District (DF). Temporal analysis indicated overall stability in Brazil, but with increasing trends in the North, South, and Central-West regions. For Rabies, 2,170 cases were reported, with the Southeast region registering the highest number of cases (41.66%), followed by the Central-West (24.47%) and South (14.01%). The highest incidence risk was observed in the Southeast (45.73/100,000 horses), particularly in São Paulo (69.97/100,000 horses) and Espírito Santo (124.68/100,000 horses). Spatiotemporal scan analysis identified high-risk clusters in São Paulo (SP), Mato Grosso (MT), Espírito Santo (ES), Rio de Janeiro (RJ), and Amazonas (AM). Temporal trend analysis showed a decline in incidence in Brazil (APC: -3.9%; CI: -6.2 to -1.5), with the greatest reduction observed in the Central-West region (APC: -8.4%; CI: -14.3 to 2.2). The results underscore the importance of spatial, spatiotemporal, and temporal trend analyses in the surveillance of infectious diseases, enabling the identification of priority areas and supporting preventive and control measures, such as sanitary regulations, integrated surveillance, equine movement control, investments in early diagnosis, and health education.