Evidence map›Paper›PMID 41641049›Full record

ArticleFrontiers in public health2025

Development of a compound hazard risk index for natural and nuclear disasters and establishment of a prefecture-wide support system in Aomori.

Ryusei Maekawa, Takakiyo Tsujiguchi, Masato Naraoka, Kanako Yamanouchi, Katsuhiro Ito

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ryusei MaekawaGraduate School of Health Sciences, Hirosaki University, Hirosaki, Japan.
Takakiyo TsujiguchiHirosaki University Radiation Emergency Medicine and Cooperation Promotion Education Center for Disaster and Radiation Emergency Medicine, Hirosaki, Japan.
Masato NaraokaAdvance Emergency and Critical Care Center, Hirosaki University Hospital, Hirosaki, Japan.
Kanako YamanouchiGraduate School of Health Sciences, Hirosaki University, Hirosaki, Japan.
Katsuhiro ItoHirosaki University Radiation Emergency Medicine and Cooperation Promotion Education Center for Disaster and Radiation Emergency Medicine, Hirosaki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Japan is highly susceptible to various disasters, as exemplified by the recent Noto Peninsula Earthquake. This study targeted Aomori Prefecture, located at the northernmost tip of Japan's main island, which faces the compound risks of natural and nuclear disasters. Methods: A vulnerability assessment was conducted for 108 medical institutions using a seven-item risk index to create a "pre-disaster list" (PL). Simulations based on Cabinet Office damage projections were integrated to develop a Hospital Support List (HSL). Results: The simulations revealed a potential need for the emergency evacuation of up to 2,859 patients. Critical vulnerabilities were identified across multiple indicators, including structural integrity, lifelines (power, oxygen, and water supply), and radiation protection systems. Conclusion: The findings indicate an urgent need to clarify the cooperative roles of Disaster Medical Assistance Teams (DMAT) and the Nuclear Emergency Medical Assistance Team (NEMAT). Establishing a comprehensive support system is essential for maintaining hospital functions and mitigating damage in future compound disasters.

Indexed as

Disaster PlanningDisastersNatural DisastersRadioactive Hazard ReleaseEarthquakesHumansJapanRisk Assessmentdamaged hospital continuation supportdisaster medicinehospital function maintenancenuclear disasterpre-disaster list

Identifiers

PMID41641049
PMCPMC12864454

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Registered trials

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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.