| Course | MPH 510 Epidemiology in Public Health |
|---|---|
| Module | Module 4 |
| Paper type | Outbreak investigation paper |
| Length | About 1,088 words, 6 pages |
| Format | APA 7 student paper |
| School | Aspen University |
| Program | Master of Public Health |
| Updated | September 2026 |
Free sample paper for MPH 510 Module 4
Tracing the Source: Investigating a Salmonella Outbreak After a Community Dinner
Student Name
Master of Public Health Program, Aspen University
MPH 510: Epidemiology in Public Health
Instructor Name
Month Day, Year
Tracing the Source: Investigating a Salmonella Outbreak After a Community Dinner
Outbreak investigations are epidemiology in its most urgent form. Investigators must quickly identify who is ill, find the source and stop further cases, often before laboratory results are complete. This paper applies the standard steps of an outbreak investigation to a composite Salmonella outbreak following a church fundraising dinner and places the event in the context of national foodborne disease data.
The Burden of Foodborne Illness
According to national modeling, the 31 leading foodborne pathogens cause roughly 9.4 million domestically acquired illnesses a year, leading to about 56,000 hospital stays and some 1,350 deaths. Nontyphoidal Salmonella accounts for 11% of these illnesses but 35% of hospitalizations and 28% of deaths, making it the leading cause of both (Scallan et al., 2011). Worldwide, nontyphoidal Salmonella causes an estimated 93.8 million cases of gastroenteritis and 155,000 deaths a year (Majowicz et al., 2010).
Step One: Verify the Outbreak
On a Tuesday, the county health department received calls from two urgent care clinics reporting several adults with diarrhea, fever and abdominal cramps who had all attended a Saturday evening church dinner. A cluster of similar illness linked to one event, well above the expected background, confirmed an outbreak.
Step Two: Case Definition
Investigators defined a case as diarrhea on three or more occasions in one 24-hour span, beginning between Saturday evening and the following Thursday in a person who attended the dinner. Confirmed cases had Salmonella isolated from stool. A clear definition kept counting consistent and separated outbreak cases from unrelated illness.
Step Three: Case Finding
The church provided a list of 212 attendees who had bought tickets. Investigators reached 196 of them by phone within three days using a standard questionnaire on symptoms and foods eaten. Of the 196, 74 met the case definition, an overall attack rate of 38%. Stool samples were collected from 22 ill attendees.
Step Four: Describe the Outbreak
The epidemic curve showed onset times clustered between 12 and 48 hours after the dinner, with a median of 22 hours, rising sharply and falling off over two days. That shape, a single peak soon after a shared meal, indicates a point-source outbreak, and the timing fits the usual incubation period of Salmonella. Cases ranged from 6 to 84 years old; nine were hospitalized and none died.
Step Five: Test Hypotheses
Investigators compared attack rates among attendees who did and did not eat each food. The table shows the key results.
| Food | Ate it: ill / total (rate) | Skipped it: ill / total (rate) | Relative risk |
|---|---|---|---|
| Chicken salad | 68 / 112 (61%) | 6 / 84 (7%) | 8.5 |
| Baked beans | 44 / 120 (37%) | 30 / 76 (39%) | 0.9 |
| Green salad | 40 / 101 (40%) | 34 / 95 (36%) | 1.1 |
| Rolls | 60 / 160 (38%) | 14 / 36 (39%) | 1.0 |
| Lemon cake | 39 / 98 (40%) | 35 / 98 (36%) | 1.1 |
Interpreting the Table
Chicken salad stood out. Attendees who ate it had an attack rate of 61% compared with 7% among those who did not, a relative risk of 8.5, and 68 of the 74 cases, 92%, had eaten it. Other foods showed relative risks near 1, meaning no association. The six cases who did not recall eating chicken salad may reflect recall error or cross-contamination of serving utensils.
Step Six: Laboratory and Environmental Evidence
Salmonella Enteritidis grew from 19 of 22 stool samples, all with the same genetic fingerprint on whole genome sequencing. A leftover sample of chicken salad yielded the same strain. Interviews with volunteers revealed that the chicken was cooked Friday afternoon, cooled slowly in deep pans in a home refrigerator, mixed with mayonnaise Saturday morning and held at room temperature for about five hours before serving.
Step Seven: Control Measures
Because the dinner was a single event, the immediate risk ended when leftovers were discarded. The department advised ill people on hydration and when to seek care, excluded ill volunteers who handle food at church events until symptoms resolved and two negative stool tests were obtained, and reported the strain to the national molecular surveillance network to check for links to other outbreaks.
Step Eight: Communicate and Prevent
The department sent a summary to the church, clinics and state health department and offered free food safety training for volunteers at community events. The training focused on cooling cooked foods quickly in shallow containers, keeping cold foods at 41 degrees Fahrenheit or below and limiting time at room temperature.
National Outbreak Patterns
National outbreak surveillance for 2009 to 2015 recorded 5,760 foodborne outbreaks causing 100,939 illnesses, 5,699 hospitalizations and 145 deaths. Norovirus caused the most outbreaks, but outbreaks caused by Listeria, Salmonella and Shiga toxin-producing E. coli accounted for 82% of hospitalizations and deaths, and chicken was the food category linked to the most outbreak illnesses (Dewey-Mattia et al., 2018). The composite outbreak fits this pattern closely.
The Role of Molecular Surveillance
Whole genome sequencing has transformed outbreak detection. Isolates from ill people across the country are sequenced and compared, so cases that look unrelated, spread across states and weeks, can be linked to a common source. A local outbreak like this one may prove to be part of a larger event if the same strain appears elsewhere, for example from a contaminated batch of eggs or chicken.
Communication During the Investigation
Investigators kept the church pastor informed daily and agreed on a statement to attendees, which encouraged people to answer questions and submit stool samples. Clear, nonjudgmental communication with the group involved is essential to cooperation, particularly when volunteers fear blame. The final report emphasized system fixes, such as cooling practices, over individual fault.
Limits of the Investigation
Sixteen attendees could not be reached, and their exclusion could bias attack rates if their illness status differed. Food histories relied on memory three to five days after the event. People who ate small amounts of chicken salad may have reported not eating it. These limits did not change the conclusion, given the strength of the association and the matching laboratory results.
Timeliness
The investigation from first report to identified source took five days, fast enough to inform the public before the incubation window closed.
Conclusion
Following the standard steps, verifying the outbreak, defining cases, finding them, describing the pattern, testing hypotheses with attack rates, confirming with laboratory and environmental evidence and acting, led investigators from a handful of clinic reports to a single contaminated dish within days. The investigation shows how basic epidemiological tools protect communities and why food handling education remains essential.
References
Dewey-Mattia, D., Manikonda, K., Hall, A. J., Wise, M. E., & Crowe, S. J. (2018). Surveillance for foodborne disease outbreaks: United States, 2009-2015. MMWR Surveillance Summaries, 67(10), 1-11. https://doi.org/10.15585/mmwr.ss6710a1
Majowicz, S. E., Musto, J., Scallan, E., Angulo, F. J., Kirk, M., O'Brien, S. J., Jones, T. F., Fazil, A., & Hoekstra, R. M. (2010). The global burden of nontyphoidal Salmonella gastroenteritis. Clinical Infectious Diseases, 50(6), 882-889. https://doi.org/10.1086/650733
Scallan, E., Hoekstra, R. M., Angulo, F. J., Tauxe, R. V., Widdowson, M.-A., Roy, S. L., Jones, J. L., & Griffin, P. M. (2011). Foodborne illness acquired in the United States: Major pathogens. Emerging Infectious Diseases, 17(1), 7-15. https://doi.org/10.3201/eid1701.p11101
Reading the MPH 510 Module 4 assignment instructions
The MPH 510 catalog emphasizes finding causes of health problems, and with the fourth module's wording held in the classroom, this example follows an outbreak from first report to control. Outbreak assignments usually ask you to work through the standard steps, write a case definition, build an epidemic curve or describe one, calculate attack rates and relative risks, and recommend control measures. Check whether your instructor provides a data set, since many do. Keep your case definition specific in time, place and person. Present food-specific attack rates in a table. Combine epidemiological, laboratory and environmental evidence before naming a source. Include how findings were communicated. Explain what made the cluster an outbreak.
How this MPH 510 Module 4 example is built
Just over 1,000 words fill sixteen headings in this example, with a four-column attack rate table. It sets national context, then follows the steps: verify, define, find cases, describe the curve, test hypotheses with the table and interpret it. Laboratory and environmental evidence, control measures, communication and national outbreak patterns follow, along with molecular surveillance, communication during the investigation, limits and timeliness. The note in the margin by the case definition explains that stating boundaries of time, place and person makes the investigation explicit. The conclusion shows how basic tools moved investigators from clinic calls to a contaminated dish within days. Each step's heading matches the standard sequence so a grader can check the order at a glance.
Where the marks sit in the MPH 510 Module 4 rubric
Outbreak papers are commonly graded on following the investigation steps in order, a clear case definition, correct attack rate and relative risk calculations, integration of laboratory and environmental evidence, and sensible control measures. This paper cites national foodborne illness estimates, national outbreak surveillance and global Salmonella burden in APA style. The attack rate table shows numerators, denominators and percentages for each food, so the reader can verify each relative risk. The limits section addresses unreachable attendees and recall. Graders value investigations that explain why the evidence converges on one source. Clear timing, from first report to identified source, also shows command of the process, and a named control measure for each finding earns credit.
MPH 510 Module 4 help from the desk
Many students calculate attack rates without showing numerators and denominators, which makes errors hard to catch. Others pick a vehicle based on the highest attack rate among eaters alone, ignoring the rate among non-eaters. Always compare both groups and report the relative risk. Describe the epidemic curve's shape and what it implies. If your instructor provides a line list, one of our tutors can help you build the table and curve from it step by step. End with prevention steps aimed at the specific failure you found. Check that ill and well totals add up across every row of your table; a mismatched denominator is the most common arithmetic error in these papers. Report percentages to whole numbers for readability.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official Aspen University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
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MPH 510 Module 4 questions, answered
What does MPH 510 Module 4 usually ask for?
Aspen's MPH 510 applies epidemiology to finding causes of health problems, so an outbreak investigation is a typical assignment. Check your classroom prompt.
What is an attack rate?
The proportion of exposed people who become ill during an outbreak, usually expressed as a percentage.
What does a point-source epidemic curve look like?
A single sharp peak within one incubation period after a shared exposure, then a rapid decline.
Where can I find a free MPH 510 Module 4 sample paper?
This page holds the Salmonella outbreak paper, including its food-by-food attack rate table and the steps investigators followed.
How are food-specific attack rates used in MPH 510 Module 4?
Compare the attack rate among people who ate each food with the rate among those who did not; the food with a high ratio and most cases exposed is the likely vehicle.