Evidence map›Paper›PMID 42120508›Full record

Observational studyScientific reports2026

Spatial accessibility to healthcare and wide-area evacuation following the 2024 Noto Peninsula Earthquake: a GIS-based cross-sectional study.

Ryohei Kida, Naomi Kubota, Michiko Toya

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2026. 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

3 authors.

Ryohei KidaDepartment of Disaster Nursing Practice and Science, Ishikawa Prefectural Nursing University, Gakuendai 1-1, Kahoku-shi, Ishikawa, 929-1210, Japan. rkida-tky@ns-adm.com.
Naomi KubotaDepartment of Disaster Nursing Practice and Science, Ishikawa Prefectural Nursing University, Gakuendai 1-1, Kahoku-shi, Ishikawa, 929-1210, Japan.
Michiko ToyaDepartment of Disaster Nursing Practice and Science, Ishikawa Prefectural Nursing University, Gakuendai 1-1, Kahoku-shi, Ishikawa, 929-1210, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wide-area evacuation beyond disaster-affected regions can disrupt continuity of healthcare and increase health risks, particularly for older adults and individuals requiring long-term care. However, the community-level factors associated with such evacuation remain poorly understood. This retrospective observational study examined community-level characteristics associated with wide-area evacuation following the 2024 Noto Peninsula Earthquake in Japan. Aggregated and anonymized human mobility data at the 250-m mesh level were used to identify population displacement outside the affected region during January 2024. Explanatory variables included demographic characteristics, spatial accessibility indicators (distance to evacuation shelters and healthcare-related facilities), and measures of earthquake-related damage. Multivariable logistic regression analysis was performed to evaluate independent associations with wide-area evacuation. Among 375 analyzed meshes, wide-area evacuation occurred in 27 (7.2%). Greater distance to evacuation shelters, shelters with dispatched nurses, hospitals, and home-visit nursing care offices were independently associated with wide-area evacuation, whereas demographic characteristics, including population aging and estimated prevalence of long-term care needs, were not. Residential building damage was also not independently associated. These findings indicate that spatial accessibility to essential services, rather than demographic vulnerability alone, plays a key role in shaping evacuation patterns, highlighting the importance of incorporating structural accessibility into disaster preparedness and response planning.

Indexed as

EarthquakesHealth Services AccessibilityCross-Sectional StudiesDisaster PlanningDisastersGeographic Information SystemsHumansJapanRetrospective StudiesDisaster responseHealthcare accessibilityOlder adultsSpatial analysisWide-area evacuation

Identifiers

PMID42120508
PMCPMC13572496

What OpenQuestion holds

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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.