Sample· ranked cards below are a demonstration dataset
--:--:--
Global Outbreak Watch
Behind every number here is someone who just wanted a safe meal. This workspace shows how foodborne illness clusters are triaged — ranked by severity, case load and containment status — so contaminated products can be spotted early.
The ranked cards further down are an illustrative sample dataset — none of them is a current public-health alert. Real, source-linked outbreak surveillance from CDC, ECDC, EFSA and INFOSAN is shown in the live feed below, and refreshes automatically.
Sample records
12
Sample active
5
Sample critical
3
Sample cases
528
Sample hospitalized
115
Sample deaths
8
Sample data — not a current public-health alert. Every record in this section is illustrative and is excluded from alerts, exports and AI answers. Do not use these figures for operational or regulatory decisions.
Real, source-linked surveillance records from WHO, CDC, ECDC, EFSA, PAHO, UKHSA, Africa CDC, INFOSAN and national/multilingual feeds — unlike the illustrative sample cards further down. Repeated reports of the same event are grouped and ranked by recency, corroboration across sources, severity and geographic spread.
Severity mix
Top pathogens by case load
1Salmonella Enteritidis
214
2Norovirus
88
3Salmonella Typhimurium
56
4Vibrio parahaemolyticus
41
5Listeria monocytogenes
31
Most-affected countries
1United States
231
2France
88
3Belgium
56
4Thailand
41
5Canada
31
Regional pressure
Why this matters
Every cluster starts as one person feeling unwell
Lab confirmation, genome sequencing and cross-border tracing usually take days. This workspace is designed to compress that gap: each cluster is shown with the commodity, the countries involved and how far the product travelled, so buyers, QA teams and regulators can read the same picture at the same time.
· Outbreak records on this page are a static sample dataset· No automatic refresh — the dataset does not change· Live, source-linked data: see Recall Intelligence and Incident Search
