Evidence map›Paper›PMID 40445516›Full record

ArticleTropical animal health and production2025

Seroprevalence of Neospora spp. in horses reared in rural and urban areas in southern Brazil.

Milena Carol Sbrussi Granella, Rubens Peres Mendes, Mariana da Silva Casa, Gianlucca Simão Nadal Ribeiro, Luis Antônio Sangioni, Fernanda Silveira Flores Vogel, Patrícia Braünig, Paulo Eduardo Ferian, Fabiano Zanini Salbego, David Germano Gonçalves Schwarz and 1 more

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Article in Tropical animal health and production, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Milena Carol Sbrussi GranellaSanta Catarina State University, Lages, Santa Catarina, Brazil.
Rubens Peres MendesSanta Catarina State University, Lages, Santa Catarina, Brazil.
Mariana da Silva CasaSanta Catarina State University, Lages, Santa Catarina, Brazil.
Gianlucca Simão Nadal RibeiroSanta Catarina State University, Lages, Santa Catarina, Brazil.
Luis Antônio SangioniSanta Maria Federal University, Santa Maria, Rio Grande Do Sul, Brazil.
Fernanda Silveira Flores VogelSanta Maria Federal University, Santa Maria, Rio Grande Do Sul, Brazil.
Patrícia BraünigSanta Maria Federal University, Santa Maria, Rio Grande Do Sul, Brazil.
Paulo Eduardo FerianSanta Catarina State University, Lages, Santa Catarina, Brazil.
Fabiano Zanini SalbegoSanta Catarina State University, Lages, Santa Catarina, Brazil.
David Germano Gonçalves SchwarzSanta Catarina State University, Lages, Santa Catarina, Brazil.
Joandes Henrique FontequeSanta Catarina State University, Lages, Santa Catarina, Brazil. joandes.fonteque@udesc.br.ORCID http://orcid.org/0000-0003-1194-6048

Funding

Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina FAPESC - EDITAL DE CHAMADA PÚBLICA FAPESC Nº 04/2018 APOIO À INFRAESTRUTURA PARA GRUPOS DE PESQUISA DA UDESC - 2019TR608
6 · The paper itself

Abstract

Protozoan Neospora spp. is known to negatively affect horses reared in rural and urban environments, being studied for causing abortion, neonatal mortality and central nervous system disorders in horses. This study aimed to verify the occurrence of anti-Neospora spp. antibodies in horses bred in rural and urban areas from southern Brazil and the risk factors associated with infection. The study consisted of 400 horses, which 241 were bred in rural areas and 159 in urban areas. The detection of serum anti-Neospora spp. antibodies was determined using Immunofluorescence Antibody Test (IFAT). The epidemiological questionnaire was applied to owners to determine the factors associated with the infection. The total seropositivity of the animals was 11% (43/400, 95% CI = 7,71-13,78%), distributed into 10% (24/241, 95% CI = 6,18-13,74%) in the rural and 12% (19/159, 95% CI = 6,91 - 16,99%) in the urban group (serum titer ≥ 50). There was no significant difference between rural and urban groups (p = 0.642; OD = 1.31; 95% CI = 0.663-2.58). Stallions and geldings in the rural group were four times more predisposed to presenting anti-Neospora spp. antibodies (p = 0.028; OR = 4.36; 95% CI = 1.164; 14.000). In conclusion, the breeding area is not correlated with seropositivity for Neospora spp. and stallions and geldings raised in rural environments from southern Brazil are more predisposed to infection. There are still poorly elucidated aspects of the infection by Neospora spp. in horses of different sexes, reared in different breeding environments that deserve our concern and require further studies.

Indexed as

CoccidiosisHorse DiseasesNeosporaAnimalsAntibodies, ProtozoanBrazilFemaleHorsesMaleRisk FactorsRural PopulationSeroepidemiologic StudiesUrban PopulationAntibodies, ProtozoanEquus caballusImmunodiagnosisNeosporosisParasitologySeropositivity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.