Literature DB >> 20397026

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

Barbara Szonyi1, Rebecca Bordonaro, Susan E Wade, Hussni O Mohammed.   

Abstract

We conducted cross-sectional studies in the New York City Watershed to ensure a valid estimate of the risk associated with Cryptosporidium infection in dairy herds. Our aims were to obtain species-specific estimates of the prevalence of Cryptosporidium in dairy cattle and to investigate seasonal variations in prevalence. We validated our empirical estimates using a Bayesian approach. Samples were collected on 32 study farms, once in each of 3 different seasons using an age-stratified sampling design. The overall prevalence of Cryptosporidium parvum-like species and Cryptosporidium andersoni among the 1911 animals tested by the flotation method was 5% and 1%, respectively. Among preweaned calves (<65 days of age), the prevalence of C. parvum-like species was twice as high in the summer (26%) compared with the winter (11%). Herd prevalence showed the same seasonal trend. Preweaned calves were also shedding C. andersoni at an average intensity of 20 oocysts per gram of feces. We did not detect C. parvum-like oocysts in cattle older than 5 months. Sequencing of a portion of the 18s rRNA gene revealed that in the summer, 42% of the C. parvum-like oocysts shed by preweaned calves were zoonotic, compared with >74% during the rest of the year. Both empirical and stochastic methods revealed a summer peak in the prevalence of C. parvum-like oocysts in preweaned calves. Determining whether seasonal variation in the prevalence and proportion of Cryptosporidium species shed by preweaned calves is due to management practices or ecological factors will have important implications for effective control of this parasite.

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Year:  2010        PMID: 20397026     DOI: 10.1007/s00436-010-1864-4

Source DB:  PubMed          Journal:  Parasitol Res        ISSN: 0932-0113            Impact factor:   2.289


  47 in total

1.  Prevalence of species and genotypes of Cryptosporidium found in 1-2-year-old dairy cattle in the eastern United States.

Authors:  Ronald Fayer; Mónica Santín; James M Trout; Ellis Greiner
Journal:  Vet Parasitol       Date:  2005-09-12       Impact factor: 2.738

2.  Bayesian modeling of animal- and herd-level prevalences.

Authors:  A J Branscum; I A Gardner; W O Johnson
Journal:  Prev Vet Med       Date:  2004-12-15       Impact factor: 2.670

3.  Response to the newly proposed species Cryptosporidium pestis.

Authors:  Lihua Xiao; Ronald Fayer; Una Ryan; Steve J Upton
Journal:  Trends Parasitol       Date:  2006-12-05

4.  Overview of Cryptosporidium presentations at the 10th International Workshops on Opportunistic Protists.

Authors:  Lihua Xiao
Journal:  Eukaryot Cell       Date:  2009-01-23

5.  Prevalence of Cryptosporidium infection in dairy calves in western Washington.

Authors:  J E Ongerth; H H Stibbs
Journal:  Am J Vet Res       Date:  1989-07       Impact factor: 1.156

6.  Incidence of Cryptosporidium parvum in the dairy cattle population in a New York City Watershed.

Authors:  Simon R Starkey; Susan E Wade; Stephanie Schaaf; Hussni O Mohammed
Journal:  Vet Parasitol       Date:  2005-08-10       Impact factor: 2.738

7.  Prevalence of Cryptosporidium, Giardia and Eimeria infections in post-weaned and adult cattle on three Maryland farms.

Authors:  R Fayer; J M Trout; T K Graczyk; E J Lewis
Journal:  Vet Parasitol       Date:  2000-11-10       Impact factor: 2.738

8.  Prevalence of Cryptosporidium species and genotypes in mature dairy cattle on farms in eastern United States compared with younger cattle from the same locations.

Authors:  Ronald Fayer; Monica Santin; James M Trout
Journal:  Vet Parasitol       Date:  2007-02-06       Impact factor: 2.738

9.  Prevalence and age-related variation of Cryptosporidium species and genotypes in dairy calves.

Authors:  Mónica Santín; James M Trout; Lihua Xiao; Ling Zhou; Ellis Greiner; Ronald Fayer
Journal:  Vet Parasitol       Date:  2004-06-21       Impact factor: 2.738

10.  Quantitation of Giardia cysts and Cryptosporidium oocysts in fecal samples by direct immunofluorescence assay.

Authors:  L Xiao; R P Herd
Journal:  J Clin Microbiol       Date:  1993-11       Impact factor: 5.948

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  6 in total

1.  Characteristics of Cryptosporidium transmission in preweaned dairy cattle in Henan, China.

Authors:  Rongjun Wang; Helei Wang; Yanru Sun; Longxian Zhang; Fuchun Jian; Meng Qi; Changshen Ning; Lihua Xiao
Journal:  J Clin Microbiol       Date:  2010-12-22       Impact factor: 5.948

2.  Identification and characterization of a Chinese isolate of Cryptosporidium serpentis from dairy cattle.

Authors:  Fu Chen; Huiling Qiu
Journal:  Parasitol Res       Date:  2012-07-11       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.  Prevalence and genetic characterization of Cryptosporidium in yaks in Qinghai Province of China.

Authors:  Rongsheng Mi; Xiaojuan Wang; Chunhua Li; Yan Huang; Peng Zhou; Zhengfeng Li; Mengtong Lei; Jinzhong Cai; Zhaoguo Chen
Journal:  PLoS One       Date:  2013-09-23       Impact factor: 3.240

5.  Assessing the impact of environmental exposures and Cryptosporidium infection in cattle on human incidence of cryptosporidiosis in Southwestern Ontario, Canada.

Authors:  Gabrielle Brankston; Cyndi Boughen; Victoria Ng; David N Fisman; Jan M Sargeant; Amy L Greer
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

6.  High Occurrence of Zoonotic Subtypes of Cryptosporidiumparvum in Cypriot Dairy Farms.

Authors:  Sumaiya Hoque; Daphne E Mavrides; Pedro Pinto; Silvia Costas; Nisa Begum; Claudia Azevedo-Ribeiro; Maria Liapi; Martin Kváč; Stavros Malas; Eleni Gentekaki; Anastasios D Tsaousis
Journal:  Microorganisms       Date:  2022-02-28
  6 in total

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