Evidence map›Paper›PMID 37379069›Full record

ArticleJMIR infodemiology2023

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

Haley Stone, David Heslop, Samsung Lim, Ines Sarmiento, Mohana Kunasekaran, C Raina MacIntyre

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR infodemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 2 countries.

Haley StoneBiosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, Australia.ORCID https://orcid.org/0000-0003-1997-0042
David HeslopSchool of Population Health, Faculty of Medicine, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-1978-770X
Samsung LimSchool of Civil & Environmental Engineering, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0001-9838-8960
Ines SarmientoBiosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, Australia.ORCID https://orcid.org/0009-0006-6710-5001
Mohana KunasekaranBiosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, Australia.ORCID https://orcid.org/0000-0001-5779-7979
C Raina MacIntyreBiosecurity Program, The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, Australia.ORCID https://orcid.org/0000-0002-3060-0555
UNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOn 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.

objectiveThis 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.

methodsData 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.

resultsBoth EPIWATCH and Epitweetr identified signals of potential radiobiological events throughout Ukraine, particularly on March 4 in Kyiv, Bucha, and Chernobyl.

conclusionsOpen-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.

Indexed as

artificial intelligencecontaminationdata sourceearly warningemergency responseenvironmental healthopen sourceopen-source intelligenceOSINTpower plantpublic healthradiationradiobiological eventsradiologicalsensorUkraine

Identifiers

PMID37379069
PMCPMC10365590
OpenAlexW4365129597

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.