title: Cross sectional study of prevalence, genetic diversity and zoonotic potential of Cryptosporidium parvum cycling in New Zealand dairy farms.
abstract: BACKGROUND
  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 genetic variants of unproven clinical and public health impact are found in cattle. However, robust C. parvum prevalence estimates in cattle are lacking and comparative data of bovine and human isolates collected from the same regions are scarce. Thus, the relative contribution of the C. parvum oocysts released by farmed animals to animal and human cryptosporidiosis burden is, in general, poorly understood.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  Phenotypic tests offered by New Zealand veterinary diagnostic laboratories for the diagnosis of C. parvum may have moderate to high positive predictive values for this species. The genetic similarities observed between the human and bovine parasites 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.
authors.affiliation: mEpiLab, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand. j.almawly@massey.ac.nz.
authors.forename: Julanda
authors.initials: J
authors.lastname: Al Mawly
authors.affiliation: Infectious Diseases Group, Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11-222, Palmerston North, New Zealand. a.grinberg@massey.ac.nz.
authors.forename: Alex
authors.initials: A
authors.lastname: Grinberg
authors.affiliation: Infectious Diseases Group, Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11-222, Palmerston North, New Zealand. n.velanthrani@massey.ac.nz.
authors.forename: Niluka
authors.initials: N
authors.lastname: Velathanthiri
authors.affiliation: mEpiLab, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand. N.P.french@massey.ac.nz.
authors.forename: Nigel
authors.initials: N
authors.lastname: French
mesh_terms: D000818:Animals; D002417:Cattle; D002418:Cattle Diseases / Q000453:epidemiology / Q000469:parasitology*; D003430:Cross-Sectional Studies; D003457:Cryptosporidiosis / Q000453:epidemiology / Q000469:parasitology*; D016785:Cryptosporidium parvum / Q000235:genetics*; D014644:Genetic Variation; D005838:Genotype; D006801:Humans; D009520:New Zealand / Q000453:epidemiology; D015995:Prevalence; D015047:Zoonoses