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

  • A. D.M. Briggs
  • , Naomi Boxall
  • , D. Van Santen
  • , R. M. Chalmers
  • , N. D. McCarthy*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1869-1876
Number of pages8
JournalEpidemiology and Infection
Volume142
Issue number9
DOIs
Publication statusPublished - Sept 2014

Bibliographical note

Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cryptosporidium
  • outbreaks
  • spatial modelling
  • surveillance
  • waterborne infections

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