Literature DB >> 20619076

Epidemiology of anthroponotic and zoonotic human cryptosporidiosis in England and Wales, 2004-2006.

R M Chalmers1, R Smith, K Elwin, F A Clifton-Hadley, M Giles.   

Abstract

In order to monitor epidemiological trends, Cryptosporidium-positive samples (n=4509) from diarrhoeic patients were typed. Compared to the previous 4 years, the proportion of Cryptosporidium hominis cases in 2004-2006 increased to 57·3%, while 38·5% were C. parvum. The remaining 4·2% cases included mixed C. parvum and C. hominis infections, C. meleagridis, C. felis, C. ubiquitum and a novel genotype. When the typing results were combined with enhanced surveillance data to monitor risk exposures, C. hominis was linked to urban dwelling, previous diarrhoea in the household, any travel especially abroad, and using a swimming or paddling pool. C. parvum was linked to having a private water supply, contact with surface water, visiting or living on a farm, and contact with farm animal faeces. The proportion of laboratory-confirmed indigenous cases acquired from direct contact with farm animals was estimated to be 25% for C. parvum and 10% of all reported Cryptosporidium cases.

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Year:  2010        PMID: 20619076     DOI: 10.1017/S0950268810001688

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  50 in total

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Review 5.  Cryptosporidium pathogenicity and virulence.

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6.  Detection and differentiation of Cryptosporidium spp. in human clinical samples by use of real-time PCR.

Authors:  Stephen J Hadfield; Guy Robinson; Kristin Elwin; Rachel M Chalmers
Journal:  J Clin Microbiol       Date:  2010-12-22       Impact factor: 5.948

7.  Zoonotic linkage and variation in Cryptosporidium parvum from patients in the United Kingdom.

Authors:  Rachel M Chalmers; Richard P Smith; Stephen J Hadfield; Kristin Elwin; Michaela Giles
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9.  Spatiotemporal analysis of Cryptosporidium species/genotypes and relationships with other zoonotic pathogens in surface water from mixed-use watersheds.

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Journal:  Clin Infect Dis       Date:  2018-11-28       Impact factor: 9.079

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