Title |
Cross sectional study of prevalence, genetic diversity and zoonotic potential of Cryptosporidium parvum cycling in New Zealand dairy farms
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Published in |
Parasites & Vectors, April 2015
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DOI | 10.1186/s13071-015-0855-9 |
Pubmed ID | |
Authors |
Julanda Al Mawly, Alex Grinberg, Niluka Velathanthiri, Nigel French |
Abstract |
The estimation of the prevalence and zoonotic potential of Cryptosporidium parvum cycling in bovine populations requires the use of genotyping as several morphologically similar non-parvum variants of unproven clinical and public health impact are found in cattle. Robust C. parvum prevalence estimates in cattle are lacking and comparative data of bovine and human parasites collected from the same regions are scarce. Thus, the relative contribution of the oocysts released by farmed animals to human cryptosporidiosis burden is, in general, poorly understood. The New Zealand farm-level C. parvum prevalence was estimated using a cross-sectional sample of 1283 faecal specimens collected from newborn calves on 97 dairy farms. Faeces were analysed by immunofluorescence and the Cryptosporidium parasites were genetically identified. Finally, bovine C. parvum were genetically compared with historical human clinical isolates using a bilocus subtyping scheme. Immunofluoresence-positive faeces were found in 63/97 (65%) farms. C. parvum was identified in 49 (50.5%) farms, C. bovis in 6 (6.1%) farms, and on 8 (8.2%) farms the species could not be identified. The dominant C. parvum genetic variants were geographically widespread and found in both host populations, but several variants were found in humans only. Phenotypic tests offered by New Zealand veterinary diagnostic laboratories for the diagnosis of C. parvum may have moderate to high positive predictive values. The genetic similarities observed between human and bovine C. parvum support a model considering calves as significant amplifiers of zoonotic C. parvum in New Zealand. However, data suggest that transmission routes not associated with dairy cattle should also be taken into account in future source-attribution studies of human cryptosporidiosis. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 21% |
Student > Master | 9 | 19% |
Student > Bachelor | 9 | 19% |
Researcher | 3 | 6% |
Student > Postgraduate | 3 | 6% |
Other | 6 | 13% |
Unknown | 8 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 13 | 27% |
Agricultural and Biological Sciences | 12 | 25% |
Medicine and Dentistry | 5 | 10% |
Immunology and Microbiology | 3 | 6% |
Environmental Science | 2 | 4% |
Other | 2 | 4% |
Unknown | 11 | 23% |