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An outbreak of cryptosporidiosis at a swimming club – can rapid field epidemiology limit the spread of illness?

Published online by Cambridge University Press:  14 May 2013

R. McCANN*
Affiliation:
Greater Manchester Health Protection Unit, Manchester, UK
R. JONES
Affiliation:
Environmental Health Department, Salford City Council, UK
J. SNOW
Affiliation:
Environmental Health Department, Salford City Council, UK
P. CLEARY
Affiliation:
Health Protection Agency, North West Regional Unit, Liverpool, UK
S. BURGESS
Affiliation:
Greater Manchester Health Protection Unit, Manchester, UK
V. BOTHRA
Affiliation:
Greater Manchester Health Protection Unit, Manchester, UK
R. M. CHALMERS
Affiliation:
Cryptosporidium Reference Unit, Public Health Wales Microbiology, Swansea, Wales, UK
*
* Author for correspondence: Dr R. McCann, Greater Manchester Public Health England Centre, Public Health England, Floor 7b, Sentinel House, Albert Street, Eccles, Manchester M30 0NJ, UK. (Email: Rosemary.mccann@phe.gov.uk)
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Summary

In September 2010, an outbreak of cryptosporidiosis affected members of a swimming club. A cohort study was undertaken to identify the number affected and risk factors for infection. Of 101 respondents, 48 met the case definition for probable cryptosporidiosis. Multivariate analysis demonstrated a strong and highly significant association between illness and attendance at a training session on 13 September 2010 (adjusted odds ratio 28, P < 0·0001). No faecal incidents were reported and pool monitoring parameters were satisfactory. The competitive nature of club swimming requires frequent training and participation in galas, potentially facilitating contamination into other pools and amplification of outbreaks among wider groups of swimmers. There was a lack of awareness of the 2-week exclusion rule among swimmers and coaches, and a high level of underreporting of illness. The study demonstrates the benefits of rapid field epidemiology in identifying the true burden of illness, the source of infection and limiting spread.

Information

Type
Short Report
Copyright
Copyright © Cambridge University Press 2013 
Figure 0

Table 1. Risk factor analysis of exposure and illness

Figure 1

Fig. 1 [colour online]. Epidemic curve by date of onset of probable cases.