Literature DB >> 10718494

Cryptosporidia on dairy farms and the role these farms may have in contaminating surface water supplies in the northeastern United States.

W M Sischo1, E R Atwill, L E Lanyon, J George.   

Abstract

The prevalence and risk factors for shedding of cryptosporidia by dairy cattle and calves and the prevalence and risk factors for cryptosporidia in surface waters associated with dairy farms were determined for a well-defined watershed in the northeastern United States. Eleven dairy farms were enrolled in the study and subjected to monthly sampling over a 6-month period. Animal-, water-, and manure-management practices were determined by survey and fecal, on-farm water, and stream samples were obtained monthly and evaluated for the presence of cryptosporidia. Ninety-one percent of the dairy farms in our study had Cryptosporidium on their premises. Fifteen percent of the sampled calves 0-3 weeks of age were shedding cryptosporidia. The risk factors for calves shedding cryptosporidia were contact between calves and frequent bedding changes. The probability of shedding cryptosporidia decreased with age. Nine percent of farm-associated stream samples were cryptosporidia-positive. The single risk factor for detecting cryptosporidia in surface water was increasing frequency of spreading of manure on fields. The probability of detecting cryptosporidia in streams decreased as 5-day cumulative precipitation increased. There were no animal-associated or barnyard-management features associated with detecting cryptosporidia in farm-impacted streams.

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Year:  2000        PMID: 10718494     DOI: 10.1016/s0167-5877(99)00107-5

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  27 in total

1.  Prevalence and genotyping of Cryptosporidium isolated from HIV/AIDS patients in urban areas of Thailand.

Authors:  M Srisuphanunt; W Saksirisampant; P Karanis
Journal:  Ann Trop Med Parasitol       Date:  2011-09

2.  Development of an immunomagnetic bead separation-coupled quantitative PCR method for rapid and sensitive detection of Cryptosporidium parvum oocysts in calf feces.

Authors:  Shanshan Gao; Min Zhang; Said Amer; Jing Luo; Chengmin Wang; Shaoqiang Wu; Baohua Zhao; Hongxuan He
Journal:  Parasitol Res       Date:  2014-04-01       Impact factor: 2.289

3.  Linking on-farm dairy management practices to storm-flow fecal coliform loading for California coastal watersheds.

Authors:  D J Lewis; E R Atwill; M S Lennox; L Hou; B Karle; K W Tate
Journal:  Environ Monit Assess       Date:  2005-08       Impact factor: 2.513

4.  Longitudinal Poisson regression to evaluate the epidemiology of Cryptosporidium, Giardia, and fecal indicator bacteria in coastal California wetlands.

Authors:  Jennifer N Hogan; Miles E Daniels; Fred G Watson; Patricia A Conrad; Stori C Oates; Melissa A Miller; Dane Hardin; Barbara A Byrne; Clare Dominik; Ann Melli; David A Jessup; Woutrina A Miller
Journal:  Appl Environ Microbiol       Date:  2012-03-16       Impact factor: 4.792

5.  Transport of Cryptosporidium parvum oocysts through vegetated buffer strips and estimated filtration efficiency.

Authors:  Edward R Atwill; Lingling Hou; Betsy M Karle; Thomas Harter; Kenneth W Tate; Randy A Dahlgren
Journal:  Appl Environ Microbiol       Date:  2002-11       Impact factor: 4.792

Review 6.  Watershed management and public health: an exploration of the intersection of two fields as reported in the literature from 2000 to 2010.

Authors:  Martin J Bunch; Margot Parkes; Karla Zubrycki; Henry Venema; Lars Hallstrom; Cynthia Neudorffer; Marta Berbés-Blázquez; Karen Morrison
Journal:  Environ Manage       Date:  2014-06-18       Impact factor: 3.266

7.  Risk factors for sporadic cryptosporidiosis among immunocompetent persons in the United States from 1999 to 2001.

Authors:  Sharon L Roy; Stephanie M DeLong; Sara A Stenzel; Beletshachew Shiferaw; Jacquelin M Roberts; Asheena Khalakdina; Ruthanne Marcus; Suzanne D Segler; Dipti D Shah; Stephanie Thomas; Duc J Vugia; Shelley M Zansky; Vance Dietz; Michael J Beach
Journal:  J Clin Microbiol       Date:  2004-07       Impact factor: 5.948

8.  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

9.  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

10.  Genetic diversity of Cryptosporidium spp. in cattle in Michigan: implications for understanding the transmission dynamics.

Authors:  Michael M Peng; Mark L Wilson; Robert E Holland; Steven R Meshnick; Altaf A Lal; Lihua Xiao
Journal:  Parasitol Res       Date:  2003-02-26       Impact factor: 2.289

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