Evidence map›Paper›PMID 41413650›Full record

ArticleScientific reports2025

Impact of heavy rainfall on ambulance response time in Japan.

Athicha Uttajug, Xerxes Seposo, Muhammad Abdul Basit Ahmad Tajudin, Kayo Ueda

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  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

4 authors.

Athicha UttajugDepartment of Transdisciplinary Science and Engineering, School of Environmental and Society, Institute of Science Tokyo, Tokyo, Meguro-ku, Japan. uttajug.a.aa@m.titech.ac.jp.
Xerxes SeposoDepartment of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Muhammad Abdul Basit Ahmad TajudinDepartment of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Kayo UedaDepartment of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambulance response times (ART) are critical determinants of both acute and chronic patient outcomes. However, little is known about the impact of extreme weather events such as heavy rainfall on ART. The objective of this study was to examine the association between heavy rainfall and ART. ART was calculated as the interval between the receipt time of an emergency call and the arrival of the ambulance at the patient’s location. We analyzed 170,195 dispatch records collected during the rainy seasons (June–September) from 2012 to 2018. Each record was matched with hourly rainfall data corresponding to the call time. A linear threshold model was applied to identify rainfall thresholds and estimate delays in ART across 15 cities in the Kyushu region of Japan. The median ART was 8 min, with the majority of dispatches (59.3%) attributed to acute illness. Hourly rainfall was significantly associated with longer ART, increasing by 0.84 min on average (95%CI 0.48, 1.25) for each additional 1 mm of rainfall exceeding the threshold of 34 mm. The impact varied by case severity: severe cases (hospitalization ≥ 3 weeks) had a lower threshold of 10 mm, with an estimated delay of 0.33 min (95% CI 0.33, 0.64), while mild cases (no hospitalization) had a higher threshold of 35 mm and a longer delay of 1.63 min (95% CI 0.64, 2.32). In the Kyushu region of Japan, there was a significant delay in ART when rainfall intensity reached 30 mm/hour. Transports involving severe patients were more sensitive to heavy rainfall events. These results highlight that extreme weather such as heavy rainfall can reduce the performance of emergency medical services.

Indexed as

Ambulance response timeExtreme weather eventsHeavy rainfallLinear threshold model

Identifiers

PMID41413650
PMCPMC12830736

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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.