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
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
e39895Informations 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.
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