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Review of Neospora caninum and neosporosis in animals
Open accessAbstract
Neospora caninum is a coccidian parasite of animals. It is a major pathogen for cattle and dogs and it occasionally causes clinical infections in horses, goats, sheep, and deer. Domestic dogs are the only known definitive hosts for N. caninum. It is one of the most efficiently transmitted parasite of cattle and up to 90% of cattle in some herds are infected. Transplacental transmission is considered the major route of transmission of N. caninum in cattle. Neospora caninum is a major cause of abortion in cattle in many countries. To elicit protective immunity against abortion in cows that already harbor a latent infection is a major problem. This paper reviews information on biology, diagnosis, epidemiology and control of neosporosis in animals.
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Cited by
Neosporosis in animals—The last five years
Dubey, J. P., & Schares, G. (2011) · Veterinary Parasitology · doi:10.1016/j.vetpar.2011.05.031 · Cited by 698
Self-citationCanine neosporosis: perspectives on pathogenesis and management
Silva, R., & Machado, G. (2016) · Veterinary Medicine: Research and Reports · doi:10.2147/vmrr.s76969 · Cited by 62
“10,85 No breed predisposition or differential sex susceptibility to neosporosis in dogs is known, 33 but age can be a risk factor.”
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Metadata
- Authors
- Dubey, J. P.
- Venue
- The Korean Journal of Parasitology
- Publisher
- Korean Society for Parasitology
- Published
- 2003
- Volume
- 41
- Issue
- 1
- Pages
- 1
- ISSN
- 0023-4001 (ISSN-L)
- OpenAlex
- W1994958449
- Cited by
- 827
- References
- 0
- FWCI
- 30.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Dubey, J. P. (2003). Review of Neospora caninum and neosporosis in animals. The Korean Journal of Parasitology. https://doi.org/10.3347/kjp.2003.41.1.1
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
