Journal article
The global epidemiology of botulism outbreaks from open-source intelligence, 2017–2024
The American journal of emergency medicine, Vol.101, pp.71-78
03/2026
PMID: 41475035
Appears in Recent Faculty of Health Publications
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Abstract
Background: Botulism is a rare but potentially fatal illness caused by botulinum neurotoxin, with outbreaks reported globally in humans, animals, and the environment. In the absence of a global surveillance system, open-source intelligence (OSINT) offers real-time insight into botulism activity.
Methods: Using the Artificial-Intelligence-driven OSINT early warning system EPIWATCH®, we extracted a dataset published between 31 December 2016 and 1 January 2025 and filtered by our search terms to identify botulism outbreaks. Data collected included country, event date, location, symptoms, outbreak type (human/animal), case numbers, hospitalisations, antitoxin treatment, deaths, source and origin of outbreak, botulism type, toxin strain, and time from exposure to symptom onset. Analyses were conducted using STATA/BE 17.0.
Results: OSINT identified 296 botulism outbreaks, of which 259 (87.5 %) were in humans, totalling 1097 cases and 47 deaths. There were 37 animal outbreaks (12.5 %), accounting for 27,537 cases and 27,287 animal deaths. The highest number of human outbreaks occurred in Ukraine (56.0 %, n = 145), the Russian Federation (10.8 %, n = 28), and the United States of America (7.0 %, n = 18). Common symptoms included dysphagia (11.0 %), nausea (9.0 %), and generalised weakness (8.8 %). The primary transmission routes were foodborne (79.5 %), iatrogenic (3.1 %) and wound (3.1 %, n = 8). The most frequently implicated sources were dried fish (33.2 %), canned fish (5.4 %) and canned meat (4.6 %, n = 12). Toxin strain was rarely reported (97.7 %).
Conclusion: OSINT-based surveillance, despite some limitations, provides a new mechanism for insight into global botulism patterns, particularly where traditional reporting is limited.
Details
- Title
- The global epidemiology of botulism outbreaks from open-source intelligence, 2017–2024
- Creators
- Damian Alexander Honeyman - University of New South Wales (Australia, Sydney)David James Heslop - University of New South Wales (Australia, Sydney)Chandini Raina MacIntyre - University of New South Wales (Australia, Sydney)
- Publication Details
- The American journal of emergency medicine, Vol.101, pp.71-78
- Publisher
- Elsevier Inc
- Number of pages
- 8
- Grant note
- This research project has benefited from the Microsoft Accelerating Foundation Models Research (AFMR) grant program.
- Identifiers
- 991013376052002368
- Copyright
- © 2025 The Authors.
- Academic Unit
- Faculty of Health
- Language
- English
- Resource Type
- Journal article