Literature DB >> 18093047

Cryptosporidium and dairy cattle in the Catskill/Delaware watershed: a quantitative risk assessment.

Simon R Starkey1, Maurice E White, Hussni O Mohammed.   

Abstract

We carried out a study to estimate the public health risk posed by dairy cattle located in New York City's Catskill/Delaware watershed, as measured by daily C. parvum-like oocyst loading. A Monte Carlo simulation model that takes into account the nature of the dairy cattle population within the target area, age-specific incidence/prevalence rates, as well as differential fecal production and oocyst-shedding intensity rates was used to address the objectives. Additionally, the model was designed to distinguish between zoonotic and nonzoonotic species/genotypes of Cryptosporidium. Total estimated daily C. parvum-like oocyst shedding across all age/production categories was estimated at 4.15 x 10(10). The zoonotic C. parvum comprised 93.5% of this load. It was estimated that preweaned calves produce 99.5% of the total daily C. parvum ocyst burden. The recently described nonzoonotic C. bovis was estimated to have a daily load of 2.2 x 10(9) oocysts across all age/production strata. C. parvum deer-like genotype was estimated to have a total daily load of 1.3 x 10(9) oocysts. The results of this study support earlier assertions that strategies aimed at reducing the cryptosporidial risk posed by dairy cattle to public health will be most efficacious if aimed at preweaned calves.

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Year:  2007        PMID: 18093047     DOI: 10.1111/j.1539-6924.2007.00982.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  5 in total

1.  Seasonal variation in the prevalence and molecular epidemiology of Cryptosporidium infection in dairy cattle in the New York City Watershed.

Authors:  Barbara Szonyi; Rebecca Bordonaro; Susan E Wade; Hussni O Mohammed
Journal:  Parasitol Res       Date:  2010-04-16       Impact factor: 2.289

2.  The first detection of Cryptosporidium deer-like genotype in cattle in Japan.

Authors:  Said Amer; Hajime Honma; Makoto Ikarashi; Ryu Oishi; Mikiko Endo; Kenichi Otawa; Yutaka Nakai
Journal:  Parasitol Res       Date:  2008-11-07       Impact factor: 2.289

3.  Temporal and spatial dynamics of Cryptosporidium parvum infection on dairy farms in the New York City Watershed: a cluster analysis based on crude and Bayesian risk estimates.

Authors:  Barbara Szonyi; Susan E Wade; Hussni O Mohammed
Journal:  Int J Health Geogr       Date:  2010-06-17       Impact factor: 3.918

4.  Global Cryptosporidium Loads from Livestock Manure.

Authors:  Lucie C Vermeulen; Jorien Benders; Gertjan Medema; Nynke Hofstra
Journal:  Environ Sci Technol       Date:  2017-07-11       Impact factor: 9.028

Review 5.  A One Health Approach to Tackle Cryptosporidiosis.

Authors:  Elisabeth A Innes; Rachel M Chalmers; Beth Wells; Mattie C Pawlowic
Journal:  Trends Parasitol       Date:  2020-01-23
  5 in total

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