Factors associated with the prevalence of antibodies against
            <i>Theileria equi</i>
            in equids of Western Pará, Brazil

Minervino, Antônio Humberto Hamad; Torres, Allana Cavalcante; Moreira, Thiago Rocha; Vinholte, Brena Peleja; Sampaio, Bruna Matarucco; Bianchi, Daniela Manila; Portela, Juliana Machado; Sarturi, Cristiane; Marcili, Arlei; Júnior, Raimundo Alves Barrêto; Gennari, Solange Maria; Machado, Rosangela Zacarias

doi:10.1111/tbed.13268

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…One reason for a lack of studies that include the explicit effect of barriers in animal disease epidemiology may be associated with the challenges of model implementation, which have been resolved by Bakka et al (2019). The relevance of non-stationary field approaches in animal disease epidemiology is mainly targeted at diseases that disseminate locally, such as West Nile virus (Siqueira et al, 2022), Brazilian spotted fever (Moraes Filho et al, 2019), and piroplasmosis (Minervino et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

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Coupling spatial statistics with social network analysis to estimate distinct risk areas of disease circulation to improve risk‐based surveillance

Cárdenas

Sanchez

Lopes

et al. 2022

Transbounding Emerging Dis

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Most animal disease surveillance systems concentrate efforts in blocking transmission pathways and tracing back infected contacts while not considering the risk of transporting animals into areas with elevated disease risk. Here, we use a suite of spatial statistics and social network analysis to characterize animal movement among areas with an estimated distinct risk of disease circulation to ultimately enhance surveillance activities. Our model utilized equine infectious anemia virus (EIAV) outbreaks, between-farm horse movements, and spatial landscape data from 2015 through 2017.We related EIAV occurrence and the movement of horses between farms with climate variables that foster conditions for local disease propagation. We then constructed a spatially explicit model that allows the effect of the climate variables on EIAV occurrence to vary through space (i.e., non-stationary). Our results identified important areas in which in-going movements were more likely to result in EIAV infections and disease propagation. Municipalities were then classified as having high 56 (11.3%), medium 48 (9.66%), and low 393 (79.1%) spatial risk. The majority of the movements were between low-risk areas, altogether representing 68.68% of all animal movements. Meanwhile, 9.48% were within high-risk areas, and 6.20% were within medium-risk areas. Only 5.37% of the animals entering low-risk areas came from highrisk areas. On the other hand, 4.91% of the animals in the high-risk areas came from low-and medium-risk areas. Our results demonstrate that animal movements and spatial risk mapping could be used to make informed decisions before issuing animal movement permits, thus potentially reducing the chances of reintroducing infection into areas of low risk.

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Section: Discussionmentioning

confidence: 99%

“…(2019). The relevance of non‐stationary field approaches in animal disease epidemiology is mainly targeted at diseases that disseminate locally, such as West Nile virus (Siqueira et al., 2022), Brazilian spotted fever (Moraes Filho et al., 2019), and piroplasmosis (Minervino et al., 2020).…”

Section: Discussionmentioning

confidence: 99%

Coupling spatial statistics with social network analysis to estimate distinct risk areas of disease circulation to improve risk‐based surveillance

Cárdenas

Sanchez

Lopes

et al. 2022

Transbounding Emerging Dis

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show abstract

“…In addition to horses, both parasites have been reported in other equids including domestic donkeys [109,137,138,181,[212][213][214][215][216][217][218][219], wild donkeys [214,220], mules [109,138,181,212,216], and zebras [102,214,[220][221][222][223][224][225]; and in non-equids, including dogs [145,[226][227][228][229][230], camels [231,232], cattle [233], and a tapir [234] (recently reviewed in: [5,214]). Donkeys are considered more resistant to infection than horses [217]; however, this assumption is not well established, since the data regarding domestic equids (donkeys and mules) is less comprehensive than in horses, and many surveys use a population of different equine species.…”

Section: A Review Of Ep Epidemiology In the Last 20 Yearsmentioning

confidence: 99%

Twenty Years of Equine Piroplasmosis Research: Global Distribution, Molecular Diagnosis, and Phylogeny

et al. 2020

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Equine piroplasmosis (EP), caused by the hemoparasites Theileria equi, Theileria haneyi, and Babesia caballi, is an important tick-borne disease of equines that is prevalent in most parts of the world. Infection may affect animal welfare and has economic impacts related to limitations in horse transport between endemic and non-endemic regions, reduced performance of sport horses and treatment costs. Here, we analyzed the epidemiological, serological, and molecular diagnostic data published in the last 20 years, and all DNA sequences submitted to GenBank database, to describe the current global prevalence of these parasites. We demonstrate that EP is endemic in most parts of the world, and that it is spreading into more temperate climates. We emphasize the importance of using DNA sequencing and genotyping to monitor the spread of parasites, and point to the necessity of further studies to improve genotypic characterization of newly recognized parasite species and strains, and their linkage to virulence.

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Serosurvey of spotted fever group Rickettsia in equids from western Pará, Amazon, Brazil

et al. 2022

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Factors associated with the prevalence of antibodies against Theileria equi in equids of Western Pará, Brazil

Cited by 3 publications

References 19 publications

Coupling spatial statistics with social network analysis to estimate distinct risk areas of disease circulation to improve risk‐based surveillance

Coupling spatial statistics with social network analysis to estimate distinct risk areas of disease circulation to improve risk‐based surveillance

Twenty Years of Equine Piroplasmosis Research: Global Distribution, Molecular Diagnosis, and Phylogeny

Serosurvey of spotted fever group Rickettsia in equids from western Pará, Amazon, Brazil

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