Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study.

OSINT Ukraine artificial intelligence contamination data source early warning emergency response environmental health open source open-source intelligence power plant public health radiation radiobiological events radiological sensor

Journal

JMIR infodemiology
ISSN: 2564-1891
Titre abrégé: JMIR Infodemiology
Pays: Canada
ID NLM: 9918249014806676

Informations de publication

Date de publication:
28 Jun 2023
Historique:
received: 27 05 2022
accepted: 11 04 2023
revised: 26 01 2023
medline: 28 6 2023
pubmed: 28 6 2023
entrez: 28 6 2023
Statut: epublish

Résumé

On February 25, 2022, Russian forces took control of the Chernobyl power plant after continuous fighting within the Chernobyl exclusion zone. Continual events occurred in the month of March, which raised the risk of potential contamination of previously uncontaminated areas and the potential for impacts on human and environmental health. The disruption of war has caused interruptions to normal preventive activities, and radiation monitoring sensors have been nonfunctional. Open-source intelligence can be informative when formal reporting and data are unavailable. This paper aimed to demonstrate the value of open-source intelligence in Ukraine to identify signals of potential radiological events of health significance during the Ukrainian conflict. Data were collected from search terminology for radiobiological events and acute radiation syndrome detection between February 1 and March 20, 2022, using 2 open-source intelligence (OSINT) systems, EPIWATCH and Epitweetr. Both EPIWATCH and Epitweetr identified signals of potential radiobiological events throughout Ukraine, particularly on March 4 in Kyiv, Bucha, and Chernobyl. Open-source data can provide valuable intelligence and early warning about potential radiation hazards in conditions of war, where formal reporting and mitigation may be lacking, to enable timely emergency and public health responses.

Sections du résumé

BACKGROUND BACKGROUND
On February 25, 2022, Russian forces took control of the Chernobyl power plant after continuous fighting within the Chernobyl exclusion zone. Continual events occurred in the month of March, which raised the risk of potential contamination of previously uncontaminated areas and the potential for impacts on human and environmental health. The disruption of war has caused interruptions to normal preventive activities, and radiation monitoring sensors have been nonfunctional. Open-source intelligence can be informative when formal reporting and data are unavailable.
OBJECTIVE OBJECTIVE
This paper aimed to demonstrate the value of open-source intelligence in Ukraine to identify signals of potential radiological events of health significance during the Ukrainian conflict.
METHODS METHODS
Data were collected from search terminology for radiobiological events and acute radiation syndrome detection between February 1 and March 20, 2022, using 2 open-source intelligence (OSINT) systems, EPIWATCH and Epitweetr.
RESULTS RESULTS
Both EPIWATCH and Epitweetr identified signals of potential radiobiological events throughout Ukraine, particularly on March 4 in Kyiv, Bucha, and Chernobyl.
CONCLUSIONS CONCLUSIONS
Open-source data can provide valuable intelligence and early warning about potential radiation hazards in conditions of war, where formal reporting and mitigation may be lacking, to enable timely emergency and public health responses.

Identifiants

pubmed: 37379069
pii: v3i1e39895
doi: 10.2196/39895
pmc: PMC10365590
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e39895

Informations de copyright

©Haley Stone, David Heslop, Samsung Lim, Ines Sarmiento, Mohana Kunasekaran, C Raina MacIntyre. Originally published in JMIR Infodemiology (https://infodemiology.jmir.org), 28.06.2023.

Références

Antimicrob Resist Infect Control. 2018 May 30;7:69
pubmed: 29876100
Lancet. 2020 Mar 28;395(10229):1054-1062
pubmed: 32171076
Lancet. 2007 Oct 20;370(9596):1453-7
pubmed: 18064739
Western Pac Surveill Response J. 2021 Feb 17;12(1):40-45
pubmed: 34094623
BMC Public Health. 2019 Jun 14;19(1):761
pubmed: 31200692
JMIR Public Health Surveill. 2020 Sep 18;6(3):e18939
pubmed: 32598290
Euro Surveill. 2022 Sep;27(39):
pubmed: 36177867
Cell Rep Med. 2022 Dec 20;3(12):100867
pubmed: 36543103
Western Pac Surveill Response J. 2018 Dec 18;9(4):28-36
pubmed: 30766745
Int J Infect Dis. 2017 Oct;63:77-87
pubmed: 28765076

Auteurs

Haley Stone (H)

Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, Australia.

David Heslop (D)

School of Population Health, Faculty of Medicine, University of New South Wales, Sydney, Australia.

Samsung Lim (S)

School of Civil & Environmental Engineering, University of New South Wales, Sydney, Australia.

Ines Sarmiento (I)

Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, Australia.

Mohana Kunasekaran (M)

Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, Australia.

C Raina MacIntyre (CR)

Biosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, Australia.
College of Public Service & Community Solutions, Arizona State University, Tempe, AZ, United States.

Classifications MeSH