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Related Experiment Video

Updated: Jul 11, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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Published on: September 20, 2018

Global Research on Natural Disasters and Human Health: a Mapping Study Using Natural Language Processing Techniques.

Xin Ye¹, Hugo Lin²

¹Institute for Global Public Policy; LSE-Fudan Research Centre for Global Public Policy, Fudan University, 220 Handan Road, Yangpu District, Shanghai, 200433, China. yexin@fudan.edu.cn.

Current Environmental Health Reports

|November 13, 2023

Summary

Natural language processing (NLP) mapped global research on natural disasters and human health. Earthquakes and hurricanes were frequent disasters, with PTSD and depression common outcomes, especially in high-income countries.

Keywords:

Health Natural disasters Natural language processing

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

Environmental Health
Public Health
Computational Linguistics

Background:

The growing body of literature on natural disasters and human health necessitates systematic synthesis.
Understanding the global research landscape is crucial for identifying knowledge gaps and future research directions.

Purpose of the Study:

To systematically synthesize the global evidence on natural disasters and human health.
To map the scientific literature using natural language processing (NLP) techniques.
To identify trends in disaster types, health outcomes, coping mechanisms, and geographical focus.

Main Methods:

Systematic literature search across multiple databases (Embase, PubMed, Scopus, PsycInfo, Web of Science).
Application of NLP techniques: text classification, topic modeling, and geoparsing.
Analysis of literature published between January 1, 2012, and April 3, 2022.

Main Results:

Identified 6105 studies on natural disasters and human health.
Most frequent disasters: earthquakes, hurricanes, tsunamis. Most studied outcomes: posttraumatic stress disorder (PTSD) and depression.
Mental health services were the most common coping strategy. Research predominantly from high-income countries.
Psychological distress frequently co-occurred with natural disasters globally, except in Africa where infectious diseases were prevalent.

Conclusions:

NLP is effective for mapping large-scale scientific literature on natural disasters and health.
Findings highlight key research areas and provide an empirical basis for public health interventions.
Identifies a need for more research from low- and middle-income countries and on infectious disease impacts in Africa.