ArticlePrehospital and disaster medicine2022
Emergency Medical Teams' Responses during the West Japan Heavy Rain 2018: J-SPEED Data Analysis.
Article in Prehospital and disaster medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- From standard-setting to interoperability: emergency medical team data in the 2026 Venezuela earthquake response.Lancet regional health. Americas · 2027Article
- Characteristics of mental health needs following the 2024 Noto Peninsula Earthquake: Comparison with the 2016 Kumamoto Earthquake.PCN reports : psychiatry and clinical neurosciences · 2026Article
- Key Contributors to Fatigue in Disaster Responders: Analysis of the 2024 Noto Peninsula Earthquake.Safety and health at work · 2026Article
- Impact of heavy rainfall on ambulance response time in Japan.Scientific reports · 2025Article
- Non-Communicable Disease (NCD) Management During Disasters and Humanitarian Emergencies: A Review of the Experiences Reported by Emergency Medical Teams (EMTs).Journal of personalized medicine · 2025Review
- Relationship between days of work and presenteeism, and mediation of this relationship by fatigue among disaster responders.Journal of occupational health · 2025Article
- Predicting the Number of Consultations by Emergency Medical Teams During Disasters Using a Constant Attenuation Model: Analyzing the Data of 6 Disasters in Japan and Mozambique Between 2016-2020.Archives of academic emergency medicine · 2025Article
- Medical needs during the Kumamoto heavy rain 2020: analysis from emergency medical teams' responses.BMC emergency medicine · 2024Article
- Exploring the Gender and Age Demographics of Patients Treated by Emergency Medical Teams during Disasters.International journal of environmental research and public health · 2024Article
- Navigating into the unknown: exploring the experience of exposure to prehospital emergency stressors: a sequential explanatory mixed-methods.BMC emergency medicine · 2023Article
- Prevalence of Mental Health Problems among Patients Treated by Emergency Medical Teams: Findings from J-SPEED Data Regarding the West Japan Heavy Rain 2018.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRainfall-induced floods and landslides accounted for 20.7% of all disaster events in Japan from 1985 through 2018 and caused a variety of health problems, both directly and indirectly, including injuries, infectious diseases, exacerbation of pre-existing medical conditions, and psychological issues. More evidence of health problems caused by floods or heavy rain is needed to improve preparedness and preventive measures; however, collecting health data surrounding disaster events is a major challenge due to environmental hazards, logistical constraints, political and economic issues, difficulties in communication among stakeholders, and cultural barriers. In response to the West Japan Heavy Rain in July 2018, Emergency Medical Teams (EMTs) used Japan - Surveillance in Post-Extreme Emergencies and Disasters (J-SPEED) as a daily reporting template, collecting data on the number and type of patients they treated and sending it to an EMT coordination cell (EMTCC) during the response. STUDY
objectiveThe aim of the study was to conduct a descriptive epidemiology study using J-SPEED data to better understand the health problems during floods and heavy rain disasters.
methodsThe number and types of health problems treated by EMTs in accordance with the J-SPEED (Ver 1.0) form were reported daily by 85 EMTs to an EMTCC, where data were compiled during the West Japan Heavy Rain from July 8 through September 11, 2018. Reported items in the J-SPEED form were analyzed by age, gender, area (prefecture), and time period.
resultsThe analysis of J-SPEED data from the West Japan Heavy Rain 2018 revealed the characteristics of a total of 3,617 consultations with the highest number of consultations (2,579; 71.3%) occurring between Day 5 and Day 12 of the 65-day EMT response. During the response period, skin disease was the most frequently reported health event (17.3%), followed by wounds (14.3%), disaster stress-related symptoms (10.0%), conjunctivitis (6.3%), and acute respiratory infections (ARI; 5.4%).
conclusionDuring the response period, skin disease was the most frequently reported health event, followed by wounds, stress, conjunctivitis, and ARIs. The health impacts of a natural disaster are determined by a variety of factors, and the current study's findings are highly context dependent; however, it is expected that as more data are gathered, the consistency of finding will increase.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.