Approaches to the detection of very small, common, and easily missed outbreaks that together contribute substantially to human Cryptosporidium infection.

A D M Briggs, N S Boxall, D Van Santen, R M Chalmers, N D McCarthy
Author Information
  1. A D M Briggs: Thames Valley Public Health England Centre, Chilton,UK.
  2. N S Boxall: Field Epidemiology Service,Public Health England,London,UK.
  3. D Van Santen: Thames Valley Public Health England Centre, Chilton,UK.
  4. R M Chalmers: UK Cryptosporidium Reference Unit,Public Health Wales Microbiology,Swansea,UK.
  5. N D McCarthy: Thames Valley Public Health England Centre, Chilton,UK.

Abstract

Water supply-associated cryptosporidiosis outbreaks have decreased in England since the application of risk reduction measures to public water supplies. We hypothesized that smaller outbreaks were occurring which could be better detected by enhanced surveillance. Rolling analysis of detailed questionnaire data was applied prospectively in a population of 2·2 million in the south of England in 2009 and 2010. Detection of spatiotemporal clusters using SaTScan was later undertaken retrospectively. Together these approaches identified eight outbreaks, compared to an expectation of less than one based on national surveillance data. These outbreaks were small and associated with swimming pool use or, less commonly, direct (e.g. petting-farm) contact with animals. These findings suggest that frequent small-scale transmission in swimming pools is an important contributor to disease burden. Identification of swimming pool-level risk factors may inform preventative measures. These findings and the approaches described may be applicable to many other populations and to some other diseases.

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MeSH Term

Cryptosporidiosis
Disease Outbreaks
England
Humans
Models, Biological
Monte Carlo Method
Water Supply

Word Cloud

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