Hospital service areas (HSAs) and hospital referral regions (HRRs) are considered more appropriate units than geopolitical units for analyzing the performance of health care markets and policy implementation. GIS Automated Delineation of Hospital Service Areas represents the state-of-the-art approach in delineating HSAs and HRRs by using GIS-automated processes. It provides the best practices for defining such areas scientifically, in a geographically accurate manner, and without a steep learning curve.
This book is intended 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 upper-level undergraduate and graduate students in courses related to GIS and public health.
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Fahui Wang, PhD, (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 refereed articles (including co-authorship
Changzhen Wang (ORCID #0000-0002-3065-1168) is PhD 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.
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.
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