
Foodborne Illness Outbreak Investigation Assistant
Analyze foodborne illness outbreaks and identify contamination sources systematically
What You Can Do
You can rapidly analyze complex foodborne illness outbreak datasets by correlating case clusters with food exposure timelines, environmental sampling results, and laboratory findings. This skill helps you establish contamination source probabilities, create investigation timelines, and produce defensible reports that support regulatory enforcement and consumer protection measures across multi-jurisdictional supply chains.
Features
Plot temporal case patterns to identify exposure windows and outbreak onset timing
Trace contaminated products backward through supply chains to identify production sources and forward to affected consumers
Calculate contamination probabilities across potential sources using case-exposure correlations and environmental data
Establish chronological sequences linking production, distribution, case onset, and regulatory intervention points
Integrate clinical isolates, environmental swabs, food samples, and epidemiological data into coherent narratives
Produce structured outbreak summaries with findings, conclusions, and recommended actions for regulatory agencies
Identify gaps, inconsistencies, and limitations in outbreak datasets that affect investigation conclusions
Organize findings across state/federal boundaries when outbreaks span supply chain regions
Example Output
Example 1: Salmonella Outbreak Timeline
- Case 1 onset: March 12 | Location: Chicago
- Case 2 onset: March 14 | Location: Milwaukee
- Case 3 onset: March 15 | Location: Minneapolis
- Probable exposure window: March 8-10 (incubation period: 2-5 days)
- Traced product: Romaine lettuce from Farm X, harvested March 7
- Source identification: Environmental swabs from irrigation water tested positive for Salmonella enteritidis (same strain as clinical isolates)
- Recommendation: Recall lettuce lot; test irrigation source for contamination
Example 2: Contamination Source Probability Matrix
| Potential Source | Case Exposure | Lab Match | Timeline Fit | Probability |
|---|---|---|---|---|
| Farm X lettuce | 100% (3/3 cases) | Salmonella ST | Yes | HIGH |
| Supplier Y tomatoes | 67% (2/3 cases) | No growth | Yes | Low |
| Restaurant prep surfaces | 100% (3/3 cases) | No testing | Unclear | Medium |
Example 3: Investigation Summary Outbreak of 47 confirmed cases of Listeria monocytogenes serotype 1/2a across 5 states linked to deli turkey from Facility Z. Laboratory whole-genome sequencing matched all clinical isolates to environmental sample from production line 3. Traceback identified 12 affected retail distributions. Facility inspection revealed temperature control failure in cooling tunnel (March 1-8). Product recall initiated; facility closed for decontamination and process validation.
What's Included
- SKILL.md instruction file with outbreak investigation framework and methodology:
- Outbreak Investigation Checklist: Step-by-step process for case identification, data collection, and evidence synthesis
- Epidemiological Analysis Template: Structured worksheet for case clustering, exposure assessment, and timeline construction
- Contamination Source Attribution Framework: Decision matrix for evaluating source probability based on epidemiological and laboratory evidence
- Investigation Report Template: Professional report structure with sections for findings, conclusions, recommendations, and appendices for regulatory submission
Who It's For
- Environmental Health Specialists — Public health agencies investigating confirmed or suspected foodborne illness clusters
- Food Safety Epidemiologists — Disease surveillance personnel analyzing outbreak patterns and source attribution
- Regulatory Investigators — FDA, USDA, or state agency inspectors conducting traceback investigations and enforcement actions
- Food Safety Managers — Corporate food safety teams responding to contamination incidents in supply chains
- Public Health Officers — Officials coordinating multi-jurisdictional outbreak responses and inter-agency communications
Best For
- Analyzing case clusters to identify probable contamination sources and exposure timelines
- Tracing contaminated products across multi-state supply chains to origin and distribution
- Synthesizing laboratory, epidemiological, and environmental data into coherent investigation narratives
- Generating timelines for regulatory action, recalls, and consumer notifications
- Preparing evidence-based investigation reports for enforcement proceedings and inter-agency coordination







