GIS Automated Delineation of Hospital Service Areas
- Available for pre-order. Item will ship after October 15, 2021
Hospital Service Areas are the foundation for healthcare evaluation. This book represents the state-of-the-art approach in delineating HSA using GIS automated processes. It provides the best practices and solutions for defining HSA in scientific and geographically accurate manners and in real-time.
Longer travel times to hospitals and other medical resources are associated with decreasing health outcomes and increasing mortality risk. Hospital Service Areas (HSAs) and Hospital Referral Regions (HRRs) are considered more appropriate units for analyzing the performance of healthcare markets and policy implementation; both serve as the foundation for healthcare evaluation. This book represents the state-of-the-art approach in delineating HSA by using GIS automated processes. It provides the best practices for defining such areas scientifically, in a geographically accurate manner, and in real-time. Geographers and GIS practitioners widely recognize the methods used.
This book intends to mainly serve professionals in geography, urban and regional planning, public health, and related fields. It is also useful for scholars in the above fields who have research interests related to GIS and spatial analysis applications in health care. It can be used as a supplemental text for graduate students in a course related to GIS and Health.
Table of Contents
- Why Hospital Service Areas?
- Estimating Distance and Travel Time Matrices in GIS
- Analysis of Spatial Behavior of Health Care Utilization in Distance Decay
- Delineating Hospital Service Areas by the Dartmouth Method
- Delineating Hospital Service Areas by the Huff Model
- Delineating Hospital Service Areas by Network Community Detection Methods
7. Delineating Cancer Service Areas in the Northeast Region of the U.S.
Fahui Wang (ORCID #0000-0001-7765-3024) is Cyril & Tutta Vetter Alumni Professor in the Department of Geography and Anthropology, Louisiana State University. He earned a BS degree in geography from Peking University, China, an MA degree in economics and a PhD degree in city and regional planning from The Ohio State University. His research interests cover human geography (urban, economic, and transportation), public policy (crime and health) and planning. He has published 4 books, 2 edited volumes, and over 140 referred articles (including co-authorship
Changzhen Wang (ORCID #0000-0002-3065-1168) is Ph.D. Candidate of Geography in the Department of Geography and Anthropology, Louisiana State University. She earned a BS degree from Southwest Jiaotong University and MEng degree from Wuhan University, both in GIS, in China. Her research focuses on development and applications of GIS, computational methods, network analysis and geo-visualization in public health, urban studies, and transportation.