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An extensive gastroenteritis outbreak after drinking-water contamination by sewage effluent, Finland

Published online by Cambridge University Press:  15 September 2010

J. LAINE*
Affiliation:
National Institute for Health and Welfare, Helsinki and Kuopio, Finland Tampere University Hospital, Tampere, Finland
E. HUOVINEN
Affiliation:
National Institute for Health and Welfare, Helsinki and Kuopio, Finland
M. J. VIRTANEN
Affiliation:
National Institute for Health and Welfare, Helsinki and Kuopio, Finland
M. SNELLMAN
Affiliation:
National Institute for Health and Welfare, Helsinki and Kuopio, Finland
J. LUMIO
Affiliation:
Tampere University Hospital, Tampere, Finland University of Tampere, Tampere, Finland
P. RUUTU
Affiliation:
National Institute for Health and Welfare, Helsinki and Kuopio, Finland
E. KUJANSUU
Affiliation:
Nokia Health Centre, Nokia, Finland
R. VUENTO
Affiliation:
University of Tampere, Tampere, Finland Centre for Laboratory Medicine, Tampere, Finland
T. PITKÄNEN
Affiliation:
National Institute for Health and Welfare, Helsinki and Kuopio, Finland
I. MIETTINEN
Affiliation:
National Institute for Health and Welfare, Helsinki and Kuopio, Finland
J. HERRALA
Affiliation:
Tampere University Hospital, Tampere, Finland
O. LEPISTÖ
Affiliation:
Environmental Health Control Unit, Pirkkala, Finland
J. ANTONEN
Affiliation:
Tampere University Hospital, Tampere, Finland Nokia Health Centre, Nokia, Finland
J. HELENIUS
Affiliation:
University of Tampere, Tampere, Finland
M.-L. HÄNNINEN
Affiliation:
University of Helsinki, Helsinki, Finland
L. MAUNULA
Affiliation:
University of Helsinki, Helsinki, Finland
J. MUSTONEN
Affiliation:
Tampere University Hospital, Tampere, Finland Nokia Health Centre, Nokia, Finland
M. KUUSI
Affiliation:
National Institute for Health and Welfare, Helsinki and Kuopio, Finland
*
*Author for correspondence: Dr J. Laine, Lylykuja 3, 33100 Tampere, Finland. (Email: janne.laine@fimnet.fi)
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Summary

An inappropriate cross-connection between sewage- and drinking-water pipelines contaminated tap water in a Finnish town, resulting in an extensive waterborne gastroenteritis outbreak in this developed country. According to a database and a line-list, altogether 1222 subjects sought medical care as a result of this exposure. Seven pathogens were found in patient samples of those who sought treatment. To establish the true disease burden from this exposure, we undertook a population-based questionnaire investigation with a control population, infrequently used to study waterborne outbreaks. The study covered three areas, contaminated and uncontaminated parts of the town and a control town. An estimated 8453 residents fell ill during the outbreak, the excess number of illnesses being 6501. Attack rates were 53% [95% confidence interval (CI) 49·5–56·4] in the contaminated area, 15·6% (95% CI 13·1–18·5) in the uncontaminated area and 6·5% (95% CI 4·8–8·8) in the control population. Using a control population allowed us to differentiate baseline morbidity from the observed morbidity caused by the water contamination, thus enabling a more accurate estimate of the disease burden of this outbreak.

Information

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2010
Figure 0

Fig. 1. Weekly number of patients attending with gastrointestinal symptoms at Nokia health centre from 1 April 2007 to 22 June 2008 (main figure). The inset represents the daily number of patients attending with gastrointestinal symptoms during the outbreak period.

Figure 1

Fig. 2. Age distribution of visitors attending Nokia health centre with gastrointestinal symptoms, 28 November to 31 December 2007; data from patient register.

Figure 2

Table 1. Background characteristics of the three populations in the questionnaire study (only respondent data included)

Figure 3

Fig. 3. The epidemic curve. Cases of acute gastroenteritis by onset of illness in two areas of Nokia, 28 November 2007 to 20 January 2008, according to the questionnaire study.

Figure 4

Fig. 4. Frequency of the most common symptoms in the three study populations, according to the questionnaire study.

Figure 5

Table 2. Background populations, response rates and main findings in the three study populations according to questionnaire data

Figure 6

Table 3. Microbial findings in water and stool specimens