This lib guide is designed to provide an overview of the key resources and tools available for those interested in using Geographic Information Systems (GIS) for spatial epidemiology. Spatial epidemiology is the study of the geographical distribution of diseases and the factors that influence their spread. GIS can be a powerful tool for understanding these patterns and developing strategies for public health interventions. In this guide, you'll find an introduction to GIS, important books and articles, data sources, software tools, and tutorials to help you get started.
Geographic Information Systems (GIS) are computer-based tools designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. GIS enables users to visualize, question, interpret, and understand data in ways that reveal relationships, patterns, and trends. This is achieved through the use of maps, charts, and other visual representations. GIS has applications in various fields, including urban planning, environmental management, natural resource management, and public health.
Spatial epidemiology is a sub-discipline of epidemiology that focuses on the study of the geographical distribution of diseases, health outcomes, and their determinants. It investigates the spatial patterns of diseases and other health-related events and the factors that influence their distribution and spread. Spatial epidemiology aims to identify disease clusters, determine risk factors, and inform public health interventions. By considering the spatial context of diseases, it helps identify at-risk populations, track the spread of diseases, and assess the impact of environmental and social factors on health outcomes.
GIS plays a significant role in spatial epidemiology by providing tools and techniques to visualize, analyze, and interpret spatial data related to health outcomes and their determinants.
The integration of GIS in spatial epidemiology can:
In summary, GIS provides essential tools and techniques for spatial epidemiology, enabling researchers and public health professionals to better understand the spatial distribution of diseases, identify risk factors, and develop effective interventions. By incorporating GIS into spatial epidemiology, researchers can gain valuable insights into the complex relationships between health outcomes and their spatial context.