An Outbreak of Gastroenteritis Among Warehouse Workers

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Centers for Disease Control and Prevention Case Studies in Applied Epidemiology No. 055-710 An Outbreak of Gastroenteritis Among Warehouse Workers Participant s Guide Learning Objectives After completing this case study, the participant should be able to: Develop a case definition for an outbreak of gastroenteritis, Discuss why an epidemiologic study with a comparison group is useful in the investigation of an outbreak, Discuss the types of studies one might conduct in an outbreak setting, Calculate appropriate measures of association for the type of study selected, Conduct a stratified analysis to address possible confounding. This case study is loosely based on an investigation in 2003 conducted by Rose Devasia, EIS Officer assigned to the Tennessee State Health Department. The investigation was presented at the Regional EIS Conference in April 2004. This case study was developed by Richard Dicker in 2005 for the Threat Agent Detection and Response project.

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 2 Part I On Wednesday, August 20, 2003, the local health department received a telephone call from a worker at a warehouse. The caller said that she and several of her workers had been ill with diarrhea and vomiting during the past few days. The caller mentioned that, on the previous Thursday and Friday, the warehouse had conducted a comprehensive inventory, requiring workers to work long hours. The warehouse had provided dinner on Thursday and lunch on Friday for the workers. The caller had become ill on Sunday, August 17, and had been sick until today. The epidemiologist at the health department called the warehouse supervisor to gather additional information. Question 1: What questions might you ask the warehouse supervisor to further characterize the situation?

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 3 Question 2: List the broad categories of diseases that must be considered in the differential diagnosis of an outbreak of gastrointestinal illness. The health department decided to conduct an epidemiologic study to determine the cause of the outbreak, and to implement appropriate control measures. Question 3: Would you limit the investigation to the warehouse?

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 4 The health department called area hospitals and a sample of physicians, and found no increase in cases of gastroenteritis unrelated to the warehouse. They therefore decided to focus their attention on the warehouse. The warehouse employs 64 people, including supervisors. All worked on Thursday and Friday and had access to the catered meals. One local catering company catered the Thursday dinner and another, unrelated to the first, catered the Friday lunch. The meals were served at the warehouse in self-serve buffet style. No dishwasher or kitchen is present at the warehouse, so utensils were washed after the meals in the bathroom sinks. The health department learned that the most prominent symptoms among persons who became ill were diarrhea and cramps, with some fever, and some nausea or vomiting. The health department s EIS Officer, her colleagues, and her supervisors discussed what type of epidemiologic study to conduct. Some suggested conducting a retrospective cohort study. Others suggested a case-control study. Question 4: What are the arguments for a retrospective cohort study over a case-control study? What are the arguments for conducting a case-control study over a cohort study? Question 5: Develop a case definition.

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 5 The dinner on Thursday included barbequed pork, barbequed chicken, buns, cole slaw, potato salad, beans, barbeque sauce, peach cobbler for dessert, iced tea, and lemonade. Buckets of ice were also provided. The lunch on Friday consisted of fried catfish, chicken strips, French fries, cole slaw, and hush puppies, and banana pudding for dessert. Condiments included tartar sauce, ketchup, honey-mustard sauce, and hot sauce. Iced tea, lemonade, and ice were also provided. Question 6a: Review the categories or types of information to include on a questionnaire. Question 6b: Design your questionnaire.

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 6 Investigators defined a case as illness in an employee of the warehouse with onset of gastroenteritis (diarrhea or vomiting or both fever and cramps) between the afternoon of August 14 and August 22. Investigators were able to interview all 64 employees of the warehouse, either in person or by telephone. Table 1 provides the clinical information from 10 of the employees. Table 1: Clinical information from 10 of 64 employees, gastroenteritis outbreak, Warehouse A, August 2003 First Date of Symptoms* Meets case ID Age Sex Ill Symptom Onset D N V C F B Stool definition? 1 27 F Y Vomiting 8/12 N Y Y N N N 2 29 F Y Diarrhea 8/16 Y Y N Y F N 7 25 M Y Diarrhea 8/18 Y N N Y N N 17 39 F Y Cramps 8/15 N Y N Y N N 22 55 M Y Other 8/17 Y N N N N N 29 43 M Y Diarrhea 8/17 Y Y N N N N 31 36 M N 33 43 F Y Other 8/16 N N N Y Y N 47 39 M Y Other 8/18 Y Y N Y N N 63 26 F Y Other 8/20 N N N N Y N * D=Diarrhea, N=nausea, V=vomiting, C=cramps, F=fever, B Stool= bloody stool Question 7: Using the data in Table 1 and the case definition used by the investigators, indicate whether each employee met or did not meet the case the case definition.

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 7 Because the investigators were able to interview all of the employees, they considered their study to be a retrospective cohort study. Table 2 provides clinical information about the 35 employees who met the case definition. The attack rates by age and sex are shown in Table 3. Figure 1 shows the epidemic curve for the outbreak. Table 2: Distribution of symptoms among cases (n=35), Warehouse A gastroenteritis outbreak, August 2003 Number Percent Total 35 100% Diarrhea 33 94% Cramps 26 74% Fever 11 31% Cramps + fever 10 16% Vomiting 1 3% Bloody stool 0 0% Duration of symptoms (median) 82 hours Table 3: Occurrence of gastroenteritis by age and sex, Warehouse A gastroenteritis outbreak, August 2003 Number of Attack Number Cases Rate (%) Age 20 29 years 14 8 57.1% 30 39 26 13 50.0% 40 49 13 9 69.2% 50 59 7 5 71.4% 60 69 0 1 0.0% Unknown 0 2 0.0% Sex Female 34 18 52.9% Male 29 17 58.6% Question 8: What do you conclude from the age and sex information in Table 2?

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 8 Figure 1. Number of cases of gastroenteritis by date of onset, Warehouse A outbreak, August 2003 16 14 Number of Cases 12 10 8 6 4 2 0 * Catered dinner Catered lunch 12th 13th 14th 15th 16th 17th 18th 19th 20th 21st Date of Symptom Onset, August 2003 * Not counted as a case Question 9: Does this epidemic curve appear to be consistent with a point source outbreak?

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 9 The meals and foods eaten most commonly by the cases are shown in Table 4. Table 4: Meals and foods eaten among cases, Warehouse A gastroenteritis outbreak, August 2003 Number Percent Total 35 100% Thursday dinner 32 91% BBQ Sauce (Thurs) 29 83% Ice (Thurs) 28 80% Buns (Thurs) 27 77% Cole slaw (Thurs) 23 66% Friday lunch 33 94% Cole slaw (Fri) 31 89% Catfish (Fri) 30 86% Ice (Fri) 28 80% Chicken strips (Fri) 27 77% Either meal 34 97% Ice (either meal) 33 94% Cole slaw (either meal) 31 89% Question 10: From the information in Table 4, can you implicate a particular food? If yes, which one? If no, what additional information would you like to have?

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 10 Part II Investigators realized that they needed to look at the food consumption information for the entire cohort. Question 11: What measure of association would you use during the analysis of food consumption and disease status? Data for the most important foods are shown in Table 5. Table 5: Foods consumed at Thursday dinner and Friday lunch by illness status, Warehouse A gastroenteritis outbreak, August 2003 Ate Food Did Not Eat Food Measure of Association Attack Attack Food Ill Well Total Rate Ill Well Total Rate Thursday 32 27 59 54.2% 3 1 4 75.0% 0.72 BBQ Sauce 29 22 51 6 6 12 Ice 28 26 54 7 2 11 Buns 27 24 51 8 4 12 Cole slaw 23 19 42 12 9 21 Friday 33 19 52 63.5% 2 9 11 18.2% 3.49 Cole slaw 31 7 38 4 21 35 Catfish 30 17 47 5 11 16 Ice 28 18 46 7 10 17 Chicken strips 27 19 46 8 9 17 Any ice 33 27 60 2 1 3 Any cole slaw 31 7 38 4 21 35

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 11 Question 12: Using the data in Table 5, calculate food-specific attack rates for those who did and did not eat each food. Calculate the appropriate measure of association. One of the members of the investigative team expressed concern that cole slaw was served at both meals, and perhaps employees did not remember correctly at which meal they ate the cole slaw. Question 13 What besides a true association could account for cole slaw s apparent association with illness? Investigators identified two foods with risk ratios above 2.0. They wondered if one or both could have been responsible for the outbreak, or if one is confounding the other. Question 14 How would you disentangle the effects of the two foods, and determine whether one or both foods were associated with illness in this outbreak? Thirty-four employees ate both cole slaw and catfish at the Friday lunch, including 28 of the cases.

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 12 Question 15 Set up and perform an analysis to disentangle the effects of cole slaw and catfish. Question 16 What do you conclude about the two foods now?

CDC, 2005: Gastroenteritis Among Warehouse Workers (055-710) Participant s Guide Page 13 Part III Conclusion Inspectors from the health department visited the restaurant that catered the Friday lunch. The restaurant had prepared 800 servings of cole slaw on August 15. Fewer than 50 servings were delivered to the warehouse. As noted earlier, no other gastrointestinal illness in the community had been reported to the health department or to the restaurant, and no illness was reported among restaurant employees. No cole slaw was available for testing. Eighteen stool cultures were collected from warehouse employees. All 18 tested negative at the state laboratory for Salmonella, E. coli O157:H7, Campylobacter, and Clostridium perfringens. In 1982 Kaplan and colleagues proposed criteria for considering an outbreak to be caused by norovirus (1): Stool cultures negative for routine bacterial pathogens Median incubation period of 24 48 hours (if known) Median or mean duration of illness of 12 60 hours Vomiting in 50% of patients (alternatively, vomiting more common than fever (2)) In 1999, Dalton and colleagues proposed criteria for suspecting enterotoxigenic E. coli (ETEC) as the cause of an outbreak of gastroenteritis (3) Stool cultures negative for routine bacterial pathogens Median incubation period of 24 48 hours (if known) Median or mean duration of illness greater than 60 hours (if known) Diarrhea / vomiting ratio 2.5 Enterotoxigenic E. coli (ETEC) is a frequent cause of diarrhea among U.S. travelers to other countries such as Mexico. An increasing number of outbreaks in the U.S. have been attributed to ETEC. ETEC cannot be identified by conventional laboratory methods. However, ETEC can be identified by PCR that detects the gene for enterotoxin production, followed by serotyping. Sweeps of the 18 stool cultures were sent to CDC for additional testing. Twelve of the 18 tested positive for ETEC-producing heat-stabile enterotoxin. Serotyping identified the bacterium as E. coli O169:H41, which has been identified in 10 (63%) of 16 ETEC outbreaks between 1996 and 2003. Unfortunately, the health department was unable to obtain a stool specimen from the warehouse employee who had traveled to Mexico and developed gastroenteritis on August 12, nor were they able to determine whether any of the food preparers at the restaurant may have been infected. References 1. Kaplan JE, Feldman R, Campbell DS, Lookabaugh C, Gary GW. The frequency of a Norwalk-like pattern of illness in outbreaks of acute gastroenteritis. Am J Public Health 1982;72:1329 32. 2. Hedberg CW, Osterholm MT. Outbreaks of food-borne and waterborne viral gastroenteritis. Clin Microbiol Rev 1993;6:199-210. 3. Dalton CB, Mintz ED, Wells JG, Bopp CA, Tauxe RV. Outbreaks of enterotoxigenic Escherichia coli infection in American adults: a clinical and epidemiologic profile. Epidemiol Infect 1999:123:9-16.