Consultations for infectious diseases during the aftermath of the 2024 Noto Peninsula Earthquake: Analysis of data from the J-SPEED reporting system

OBJECTIVES: To assess temporal patterns and factors associated with infectious disease (ID)-related consultations after the 2024 Noto Earthquake in Japan using emergency medical team (EMT) reports from the Japan Surveillance in Post Extreme Emergencies and Disasters (J-SPEED) system. METHODS: We analyzed 12,236 consultations by 672 EMTs between January 2 and May 26, 2024. Joinpoint regression of moving averages was used to define response phases, and multivariable logistic regression estimated adjusted odds ratios (aORs) were used for acute respiratory infection (ARI) and gastrointestinal infection or food poisoning (GI), by age group and geographic area. RESULTS: A total of 4597 (37.6%) consultations were ID-related. Children aged 0-14 years showed higher odds of ARI (aOR 1.90, 95% confidence interval [CI] 1.53-2.36) and GI (aOR 1.84, 95% CI 1.28-2.64) than adults aged ≥65 years. Northern Noto showed the highest odds of ARI (aOR 7.34, 95% CI 5.15-10.45). ARI was most frequent during phase 2, whereas GI predominated during phase 1. CONCLUSION: ID-related consultations showed distinct age-, geographic-, and phase-specific patterns. These findings support restoration of water, sanitation, and hygiene; improved shelter conditions; and linkage between EMT reporting, rapid analysis, and coordinated public health response to mitigate infectious disease threats in future disasters.

Authors

Institutions

Publication Details

Journal
International Journal of Infectious Diseases
Published
2026-04-13
DOI
https://doi.org/10.1016/j.ijid.2026.108699
Primary Topic
Disaster Response and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consultations for infectious diseases during the aftermath of the 2024 Noto Peninsula Earthquake: Analysis of data from the J-SPEED reporting system

Taizo Sakata, Yui Yumiya, Jun Sugihara, Hirofumi Kato et al.
International Journal of Infectious Diseases
Disaster Response and Management
article

Consultations for infectious diseases during the aftermath of the 2024 Noto Peninsula Earthquake: Analysis of data from the J-SPEED reporting system

Taizo Sakata, Yui Yumiya, Jun Sugihara, Hirofumi Kato, Ami Fukunaga, Odgerel Chimed-Ochir, Takayuki Shiomoto, Tatsuhiko Kubo, Taiki Taniguchi, Tomoe Shimada
article en

Abstract

OBJECTIVES: To assess temporal patterns and factors associated with infectious disease (ID)-related consultations after the 2024 Noto Earthquake in Japan using emergency medical team (EMT) reports from the Japan Surveillance in Post Extreme Emergencies and Disasters (J-SPEED) system. METHODS: We analyzed 12,236 consultations by 672 EMTs between January 2 and May 26, 2024. Joinpoint regression of moving averages was used to define response phases, and multivariable logistic regression estimated adjusted odds ratios (aORs) were used for acute respiratory infection (ARI) and gastrointestinal infection or food poisoning (GI), by age group and geographic area. RESULTS: A total of 4597 (37.6%) consultations were ID-related. Children aged 0-14 years showed higher odds of ARI (aOR 1.90, 95% confidence interval [CI] 1.53-2.36) and GI (aOR 1.84, 95% CI 1.28-2.64) than adults aged ≥65 years. Northern Noto showed the highest odds of ARI (aOR 7.34, 95% CI 5.15-10.45). ARI was most frequent during phase 2, whereas GI predominated during phase 1. CONCLUSION: ID-related consultations showed distinct age-, geographic-, and phase-specific patterns. These findings support restoration of water, sanitation, and hygiene; improved shelter conditions; and linkage between EMT reporting, rapid analysis, and coordinated public health response to mitigate infectious disease threats in future disasters.

International Journal of Infectious DiseasesVol. 168
Hiroshima University (JP), Ministry of Health Labour and Welfare (JP), National Institute of Infectious Diseases (JP)
National Center for Global Health and Medicine, Ministry of Health, Labour and Welfare, Japan Society for the Promotion of Science
Climate action
Openalex Percentile: Top 26%
Disaster Response and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.