- Home/
- Our Work/
- Health Emergencies/
- Research Methods/
- Sections and chapters/
- Section 4: Study design/
- Chapter 4.8 Geographic information systems
Section 4: Study design
Chapter 4.8 Geographic information systems

Research Methods for Health EDRM
Section navigation
- Section 4: Study design
- Chapter 4.8 Geographic information systems
- Chapter 4.1 Basic principles in designing studies to assess the effects of interventions
- Chapter 4.2 Measuring the problem: Basic statistics
- Chapter 4.3 Cluster randomized trials
- Chapter 4.4 Collection and management of good quality data
- Chapter 4.5 Advanced statistical techniques
- Chapter 4.6 Health-related risk modelling
- Chapter 4.7 Evaluating economic impacts in health emergency and disaster risk management
- Chapter 4.9 Real-time syndromic surveillance
- Chapter 4.10 Using logic models in research and evaluation of Health EDRM interventions
- Chapter 4.11 Researching communication and communicating research in Health EDRM
- Chapter 4.12 Qualitative research
- Chapter 4.13 Addressing complexity through mixed methods
- Chapter 4.14 Natural experiments in a hazard context
- Chapter 4.15 Monitoring and evaluation
Authors: Ye Q, Guo S.
Chapter 4.8 describes the following about geographic information systems (GIS):
- The basics of GIS.
- The role of geospatial analysis in disaster health.
- The use and challenges of GIS in Health EDRM.
What is this chapter about?
Collecting and understanding location-based information is a challenge in Health EDRM. However, such information can help decision-makers to better understand relationships, patterns and trends of various components in a social-ecological system.
This chapter introduces the general concept of geographic information systems (GIS), beginning with how, in 1854, John Snow mapped the locations of water pumps and the homes of people who died of cholera to end a cholera outbreak in the Soho district of London, UK. It outlines current applications of GIS in disaster health, the use of and challenges associated with GIS in Health EDRM, and future developments.
Case studies presented in the chapter:
- Mapping of health vulnerability and disaster risk in 147 countries.
- Transmission of Chikungunya fever in Columbia.
- Health risk distribution during high temperature disasters.
- GIS for population-wide health monitoring in Germany.
What are the key messages of this chapter?
- A main strength of GIS lies in its powerful ability to combine, analyse and display spatial and attribute data.
- This will help to satisfy the need for large-scale data analysis and processing in disaster response planning and improve Health EDRM.