Campylobacter sp. (2/56), norovirus GI and GII (11/56), rotavirus (1/56) and Giardia lamblia (3/56) were detected in stool samples. On 6 December 2010 there was a fire in a textile factory in the centre of Hemiksem, Belgium. Fireghters used water from two hydrants, connected to the tap water network, and from a unit hydrosub, which is used for pumping surface and river water. Car pumps collected water from both sources in a pressurized water tank. The hydrosub was connected to the river Vliet, a small river that ows to the river Scheldt. On 7 December three out of four routinely taken tap water samples in Hemiksem and Schelle suggested fecal contamination. Local general practitioners (GPs) reported an increase in consultations for gastroenteritis on 8 December. On 9 December the residents were advised not to consume or use tap water. The water avoidance notice was lifted on 20 December 2010. Tap water in the neighbouring municipalities of Hemiksem and Schelle (n=18620 residents), is supplied by one water supply company that uses purified ground water. The company takes care of collecting, cleaning and distributing drinking water. The surveillance, done according to the specic legislation, is a responsibility of the water company. Belgium has no specic surveillance system on waterborne outbreaks. We conducted an epidemiological study to describe the size and identify the source of the outbreak. METHODS The study population comprised of all the residents of Hemiksem and Schelle. We included no other municipalities given that elsewhere no faecal contamination in routinely taken samples of drinking water had been reported, and no increase of gastroenteritis had been registered. Considering that symptoms of gastroenteritis can be very mild, we combined a physicians case-finding survey with a randomly sampled survey among the subscribers of the water company in Hemiksem and Schelle. Case reporting by physicians On 9 December all 18 local GPs were asked to report cases of gastroenteritis. Additionally, the emergency department of a neighbouring hospital was contacted and asked to report any resident of Hemiksem or Schelle who presented with gastroenteritis. Inclusion criteria were patients who lived in Hemiksem or Schelle, and who had symptoms of diarrhoea (53 loose stools per 24 h) or vomiting from 6 to 13 December 2010. Retrospective cohort study A retrospective cohort study was conducted among a randomly selected sample of 1000 households from Hemiksem and Schelle. The sample was selected from a list of customers of the water supply company. A household was identifed as all persons living at the same address. Through a postal survey every house- hold member was asked for his personal usage of tap water (consumption, cooking, teeth brushing, cleaning), the usage of other water (ground water, bottled water), symptoms, with a focus on gastrointestinal symptoms, and the onset date of these symptoms and treatments. Any person reporting diarrhoea (53 loose stools per 24 h) and/or vomiting between 6 and 13 December 2010, was identifed as a case. Patients with an onset of diarrhoea or vomiting between 14 and 31 December 2010 were considered as late or secondary cases. Non-cases were people who did not re- port any symptoms. Households in which symptoms of gastroenteritis were reported prior to 6 December 2010 and persons who spent time abroad in the week prior to the outbreak were excluded from the study. We did not correct for a baseline number of gastroenteritis cases as no adequate incidence data for gastroenteritis was present for this region and time period. Based on the address of the respondent, 712 T. Braeye and others https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0950268814001629 Downloaded from https://www.cambridge.org/core. IP address: 82.217.87.172, on 14 Oct 2021 at 12:20:23, subject to the Cambridge Core terms of use, available at the shortest distance, in metres, to the site of the re was calculated. Descriptive statistics were calculated for the retrospective cohort study. We performed univariate analysis (cross tables, 2 tests, linear trend analysis, relative risk) and multivariate analysis (Poisson regression). P<005 was considered statistically significant. Variables associated with the outcome at P<020 in uni- variate analysis were introduced in the multivariate regression model. The nal multivariate model was built using backwards elimination [22]. The data were entered using EpiData v. 3.1 (EpiData Associ- ation, Denmark) and analysed using SAS v. 9.2 (SAS Institute Inc., USA) and R 2.14 (R Foundation, Austria). An additional analysis focusing on the geo- graphical distribution of the cases was performed using the R package sparr [23]. With this software the spatial density of the cases and the spatial density of non-cases was compared. Microbiological study Patients included in the physicians survey were con- tacted and asked to provide a stool sample. These stool samples were tested for pathogenic gastrointestinal bacteria on culture media for isolation of entero- pathogens (MacConkey agar, XLD and CIN agar) in a laboratory with accreditation to ISO 15189. Antigen tests were used to test for Cryptosporidium and G. lamblia (Xpect Immunochromatographic Assays, Oxoid, UK). For the detection of NoV two methods were used. Three stool samples were send to the Scientic Institute of Public Health, Brussels, where they used a real-time RTPCR for the detection and differentiation of the two most important human genogroups of NoV, GI and GII. This method is de- scribed in ISO/TS 152161: 2013. The other 53 stool samples were send to the Clinical Virology Labora- tory, Leuven and were analysed with a NoV RT PCR. Two pairs of specic primers G1SKF/G1SKR and COG2F/G2SKR, that amplify the capsid gene, were used to respectively detect NoV GI (330 bp) and NoV GII (387 bp) [24]. An in-house RTPCR was developed for detection of astrovirus. The primer set used to amplify 272 bp in the capsid protein gene was HASTV-F: ACAGAAGAGCAACTCCATCGC and HASTV-R: TGACACCYTGTTTCCTGAGTTG. A RTPCR was used for rotavirus and adenovirus de- tection as described previously [25, 26]. The analyses of the tap water were performed by the water supply company. Samples were tested for bacterial indicators of faecal contamination: non-specic coliforms, Escherichia coli, Clostridium sp. and Pseudomonas aeruginosa. In two river water samples protozoa were isolated by the department of Parasitology of the University of Ghent. RESULTS Physicians case-finding study All 18 GPs participated in the study. We included 603 patients; 326 (54%) were men and 277 (46%) women. The age ranged from 1 to 91 years with a median age of 36 years. Three hundred and ninety-seven (66%) cases lived in Hemiksem, and 206 (34%) in Schelle. Consultations for gastroenteritis peaked on 8 December 2010. Six patients were hospitalized. One patient, aged 91 years, died due to intestinal bleeding on 12 December after being admitted to the hospital for gastroenteritis on 9 December 2010. Retrospective cohort study The questionnaire was distributed on 20 December. The response rate was 528% (n=528). The responses included information on a total of 1185 household members. This is 66% of the total population (n=18620) of Hemiksem and Schelle (December 2010). The respondents age ranged from 0 to 99 years and the median age was 39 years. Gender was balanced with 481% males and 519% females. Out of all respondents, 37% regularly drank tap water, with an average of 37 glasses a day, 99% used tap water to brush their teeth, and 98% used tap water to wash vegetables and fruit. Gastrointestinal symptoms were reported by 365% (n=432). The mean duration of ill- ness was 41 days. Diarrhoea was the most frequently reported symptom, present in 654% of those reporting symptoms, fever in 15%, vomiting in 39% and nausea in 60%. Thirty-four respondents reported symptoms prior to 6 December. A total of 222 [187%, 95% condence interval (CI) 164209] persons met the case definition (onset of symptoms 613 December) and 176 were late or secondary cases (onset after 13 December). The incidence of gastroenteritis followed a steep incline from 6 to 8 December and peaked on 8 December (Fig. 1). The density of the cases (n=222) over non-cases (n=753) shows the highest proportion of cases slightly Waterborne outbreak, Hemiksem, 2010 713 https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0950268814001629 Downloaded from https://www.cambridge.org/core. IP address: 82.217.87.172, on 14 Oct 2021 at 12:20:23, subject to the Cambridge Core terms of use, available at north of the site of the re (Fig. 2). The density of self- reported tap-water drinkers is compared to the den- sity of non-tap-water drinkers (see Fig. 3). A higher proportion of tap-water drinkers was observed east of Hemiksem. Univariate analysis Drinking tap water was associated with gastrointestinal symptoms [relative risk (RR) 228, 95% CI 194 267] (Table 1). The relative risk was higher for cases 80 70 60 50 40 30 20 10 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 December 2010 Stop consumption of tap water Fire 20 21 26 28 New cases Pre-load Early eases Late/secondary cases Fig. 1. Cases over time, subscribers study, Hemiksem and Schelle, 2010. Fig. 2. Density cases over non-cases. A redder region indicates a higher proportion of cases over non-cases; dotted line=contour line for signicance P<005; full line=contour line for signicance P<001; Hemiksem and Schelle, 2010. 714 T. Braeye and others https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0950268814001629 Downloaded from https://www.cambridge.org/core. IP address: 82.217.87.172, on 14 Oct 2021 at 12:20:23, subject to the Cambridge Core terms of use, available at (RR 367, 95% CI 286470) than for secondary or late cases (RR 191, 95% CI 147249) (Table 1). The distance from the home address of the respondent to the site of the re was signicantly shorter for cases com- pared to non-cases. Other variables such as gender, household size, age and the presence of young children (<12 years) in the family were not signicant (Table 2). Multivariate analysis The independent variables included in the multivari- ate model were: glasses of tap water a day, location and gender. Location (distance from the site of the re) as well as drinking tap water (glasses per day) were signicantly (P<005) associated with outcome in a Poisson regression model. For each glass of tap water consumed the risk was augmented by 21% (RR 121, 95% CI 116126). For each 250 m that families lived further away from the site of the re the risk dimin- ished by 84% (RR 092, 95% CI 084099) (Table 3). Microbiological patient data Sixteen of 56 stool samples were diagnosed with a pathogen. In the stool sample of 14 patients a single Table 1. Contingency table for drinking tap water and the different case denitions (for 46 respondents information on tap water consumption was missing), Hemiskem and Schelle, 2010 Non-cases Secondary and late cases Cases Total Tapwater No N 549 95 74 718 % 7369 5523 3303 Yes N 196 77 148 421 % 2631 4477 6697 Total N 745 172 222 1139 Table 2. Univariate analysis of risk factors in cases compared to non-cases, Hemiksem and Schelle, 2010 Variable RR 95% CI P value Tap water 367 286470 0001 Gender (male/female) 08 0611 008 Distance to re site (unit: 750 m) 089 082097 004 Young children (<12 years) 09 0712 06 Household size Linear trend  043 Age Linear trend  052 RR, Relative risk; CI, condence interval. Fig. 3. Density of tap-water drinkers over non-tap-water drinkers. A redder region indicates a higher proportion of tap-water drinkers; Hemiksen and Schelle, 2010. Waterborne outbreak, Hemiksem, 2010 715 https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0950268814001629 Downloaded from https://www.cambridge.org/core. IP address: 82.217.87.172, on 14 Oct 2021 at 12:20:23, subject to the Cambridge Core terms of use, available at pathogen was detected: Campylobacter sp. was detected in one, NoV GI in two and NoV GII in seven patients. Rotavirus was detected in one patient and G. lamblia was detected in three samples. Two patients were diagnosed with a multi-pathogen infec- tion: one patient with a double infection: NoV GI and GII, and one patient with a mixed infection with Campylobacter jejuni, NoV GI and GII. Environmental study Between 8 and 25 December 2010, 625 water samples were analysed in Hemiksem and Schelle. In Hemiksem, high densities of faecal pollution indicators were detected in tap water samples: >200 c.f.u./100 ml for E. coli and >1100 c.f.u./100 ml for enterococci. Parasites, G. lamblia and Cryptospori- dium sp. were isolated from samples taken from the river. Control measures There were different authorities involved in control- ling the outbreak and informing the population; the local municipal authorities, the environmental health team and the drinking water company. Bottled potable water was distributed to the population. Sanitation of water pipes (flushing, disinfection) was performed from 9 December 2010 to 25 December 2010. Our research pointed towards an incident during the firefighting on 6 December 2010 as the cause of the contamination. Additional research eliminated other possible reasons by checking installations in the surrounding area. An investigation into the actions taken by firefighters pointed towards the absence of reflux valves as the most likely cause. Once this hazard was identified, a warning was sent to other re brigades in Belgium to avoid similar incidents. DISCUSSION We have described a large community outbreak of gastroenteritis associated with the consumption of water contaminated by river water during fire extinguishing. This is the rst large waterborne outbreak described in Belgium. Waterborne disease, especially cryptosporidiosis, has been reported as a work- related disease exposure for firefighters, but it is the first time a community outbreak has been described in which the probable cause was associated with firefighting [27]. Our study estimated an attack rate of gastrointestinal infections of 18.7% without correction for baseline illness. The attack rate in our study can be explained by the high doses of pathogens in the tap water, a high daily consumption of tap water, a period of 3 days between the contamination and the water avoidance notice, and the low infectious dose of some pathogens. Attack rates in comparable studies vary and can be quite high, e.g. 514% in a tourist resort and new housing estate, 53% in a Finnish town [15, 20, 21, 28]. The number of cases per outbreak has been associated to the pathogens involved. Giardia- and Cryptosporidium-associated outbreaks have the lowest mean number of cases per outbreak (116 and 177, respectively). Viral outbreaks and out- breaks associated with Campylobacter sp. have the highest mean number of cases per outbreak (1545 and 1802, respectively) [1]. In a multi-pathogen out- break, as we have described, one can expect an even higher number of cases. The number of hospitalizations was limited, but gastrointestinal disease can be associated with severe illness, especially in hig- risk patients [6] such as AIDS patients [29]. We found an unadjusted relative risk of 367 and the doseresponse relationship was signicant. A threefold increased risk for illness with the con- sumption of tap water is commonly associated with waterborne outbreaks [13, 16, 18, 19]. In E. coli and Campylobacter sp. outbreaks with relative risks of 11 were reported [7, 9]. In waterborne outbreaks, the strength of evidence implicating water as the cause of an outbreak is deter- mined on the basis of ndings from epidemiological and microbiological investigations. Tillett et al. devel- oped a system of levels of evidence to link an outbreak to water [30]. We complement this by adding an important spatial component. We observed a steep increase in reported gastroen- teritis among the surveys responders on the 6 Table 3. Multivariate analysis (Poisson regression) for cases compared to non-cases, Hemiksem and Schelle, 2010 Variable RR 95% CI P value Tap water (glasses/day) 121 116127 <0001 Distance to re site (unit: 250 m) 092 084099 <004 RR, Relative risk; CI, condence interval. 716 T. Braeye and others https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0950268814001629 Downloaded from https://www.cambridge.org/core. IP address: 82.217.87.172, on 14 Oct 2021 at 12:20:23, subject to the Cambridge Core terms of use, available at December which indicates a sudden contamination. Microbiological investigations during this increase identified multiple pathogens in the stool samples of patients. This is consistent with the hypothesis of a waterborne outbreak rather than a community-wide person-to-person transmission of e.g. a NoV [31]. Furthermore, tap water was a likely mode of trans- mission as there was a significant association between gastroenteritis and the consumption of tap water. Enterobacteriaceae were found in the tap water. We linked the firefighting to the outbreak by spatial and temporal analysis. We documented the association be- tween place of residence and the risk of gastroenteritis by comparing the ratio of cases (n=222) over non-cases (n=753) with the ratio of tap-water drinkers over non-tap-water drinkers. We observed that one peak in the ratio of cases over controls was not accompanied bya high ratio of tap-water drinkers over non-tap-water drinkers. This cluster was located slightly north of the site of the re. We have no data on quantitative difference of pathogen load in the pipelines. A major weakness of this study is the incomplete microbiological investigation. Drinking watercontami- nated by sewage is known to result in mixed bacterial and viral infections and severe acute gastroenteritis regardless of the aetiological agents [17, 32]. Investigation of the tap water was limited to indicator bacteria for faecal contamination and a one-time detection of Cryptosporidium sp. and G. lamblia. Patients were not tested for protozoa. Detection of e.g. levels of serum antibody to G. lamblia or testing of patients for Cryptosporidium should be performed in this kind of outbreak investigation [33, 34]. No attempt was made to match the clinical and environmental pathogens. Pathogens from the environmental samples were not stored and therefore not available for further testing. Since the incubation period of several gastrointestinal pathogens can vary from hours to weeks, we took the entire month of December 2010 as study period. However, the difference between cases and late or secondary cases is artificial and only used as a means to better analyse the data. Long incubation periods and secondary infections by person-to-person transmission are hard to differentiate. Self-reported information on symptoms and water consumption is known to be biased, especially after media attention [35]. However, the media did not report on possible sources and the connection to the fire. The media only started to report on the outbreak after the water avoidance notice. We tried to collect objective information by contacting healthcare personnel. The questionnaire was sent rather late, on 20 December 2010, which could generate recall bias. Moreover, persons affected by the outbreak might be more inclined to respond to the survey leading to selection bias. No information was collected on the costs of this outbreak. Previous research shows that the costs for preventive measures clearly are smaller than the costs of a waterborne outbreak [36]. We did not investigate compliance with the water avoidance notice. A study in The Netherlands estimated compliance with a boil water advice at 818% [37]. Several improvements can be recommended such as the development of a surveillance system and a wider and more thorough microbiological investigation. Syndromic surveillance combined with water incident and consumer complaints data can be used for the timely detection of outbreaks, but this needs to be further evaluated [38]. More intense microbiological investigations are necessary both during standard controls and outbreaks. Previous studies have indicated that water-treatment technologies have become inad- equate, and that a negative coliform test result does not guarantee that water is free from all pathogens, especially from protozoan agents [6]. Both enteric viruses, such as caliciviruses, and some protozoan agents, such as Cryptosporidium, are candidates for endemic transmission and outbreaks with these pathogens will go undetected with standard controls [39]. Furthermore, a more thorough microbiological investigation can be used to predict the likelihood of various transmission routes or vehicles [40]. This outbreak also highlights the need to rapidly connect an outbreak to its cause to reduce attack rates by implementing the correct measurements. This outbreak could have been detected quicker if additional surveillance systems had been in place. Rapid detection and intervention necessitates the collaboration between physicians, public health services, microbiologists and water providers. 

How was the event first detected?

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