Proceedings of the 17th Coordination Meeting of the WHO Radiation Emergency Medical Preparedness and Assistance Network—13-15 September, 2023—Seoul, Republic of Korea
Bibliographic record
Abstract
In an era of intensifying geopolitical instability, technological risk, and environmental disruption, the threat of radiological and nuclear emergencies looms large over public health systems worldwide.The 17th Coordination Meeting of the World Health Organization's Radiation Emergency Medical Preparedness and Assistance Network (REMPAN), held in Seoul, Republic of Korea, from 13 to 15 September 2023, convened global experts, institutions, and policymakers to confront this challenge head-on.This special issue of Disaster Medicine and Public Health Preparedness captures the breadth and depth of those proceedings, presenting 20 manuscripts that collectively advance the science, strategy, and solidarity required to protect populations from radiological harm.The meeting kindly hosted by the Korea Institute of Radiological and Medical Sciences (KIRAMS) underscored the critical importance of national preparedness frameworks, exemplified by Korea's National Radiological Emergency Medical System.KIRAMS has pioneered innovations in training, infrastructure, and biological dosimetry-integrating virtual reality tools, automated scoring systems, and high-throughput assays to enhance emergency response capabilities.Their work demonstrates how technical excellence and international collaboration can translate into scalable, life-saving interventions.Several manuscripts explore the evolving landscape of radiation epidemiology, particularly in the context of low-dose exposure.The Korean Radiation Workers Study encompassing over 200,000 individuals, offers a robust model for integrating occupational dose data with national health records.Complementary studies on aircrews and residents near nuclear facilities reflect growing public concern and scientific inquiry into the long-term health effects of low-dose radiation.These efforts are vital for informing risk communication, regulatory policy, and ethical decision-making.The legacy of the Fukushima Daiichi Nuclear Power Plant accident remains a focal point for both technical and community-based recovery.Multiple contributions detail the phased revitalization of affected areas, emphasizing the role of transparent communication, intergenerational knowledge transfer, and international scientific exchange.These lessons are not only historicalthey are foundational for building resilient, informed, and empowered communities in the face of future disasters.Clinical management of radiation injuries and internal contamination is another cornerstone of this issue.The collaboration between EURADOS and REMPAN on wound contamination protocols, the development of WHO's evidence-based guidelines for actinide exposure, and the European mass casualty preparedness framework all reflect a growing consensus: medical response must be multidisciplinary, standardized, and scalable.From cytogenetic assays to decontamination tents, from decision guides to simulation-based training, the tools of disaster medicine are evolving rapidly-and must be disseminated widely.The geopolitical context of radiological preparedness is also addressed with urgency.Ukraine's health sector, under constant threat of nuclear escalation, has received critical support from the WHO in the form of equipment, training, and strategic evaluation.Moldova's refugeeresponsive hospital preparedness initiative offers a replicable model for integrating radiological emergency planning into broader humanitarian response systems.These case studies remind us that radiological threats do not exist in isolation-they intersect with war, displacement, and global inequities.Finally, the editorial spotlight must fall on the role of harmonization and health diplomacy.The work of ISO Working Group 18 on retrospective dosimetry, the ICRP's expanded protection framework, and other partners and stakeholders all contribute to a shared Disaster Medicine and Public Health Preparedness www.cambridge.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.088 | 0.021 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".