Spatial Analysis in Health Geography / edited by Pavlos Kanaroglou, Eric Delmelle and Antonio Paez.
Contributor(s): Kanaroglou, Pavlos [editor.] | Delmelle, Eric [editor.] | Paez, Antonio [editor.].
Series: Geographies of Health. Publisher: New York : Routledge, 2015Description: xxii, 321p.ISBN: 9781138546615.Subject(s): -- Spatial epidemiology | Health Care -- Geographic information systemsDDC classification: 614.42 Summary: This book provides an overview of current research in spatial epidemiology, covering topics such as exposure to environmental factors, chronic and infectious diseases, accessibility to healthcare settings, and new methods in Geographical Information Science and Systems. Spatial epidemiology helps health care administrators and policymakers understand the spatial dynamics of disease, including areas of high incidence and prevalence, which can aid resource allocation and planning during disease outbreaks. The book highlights the importance of new methodologies, such as clustering algorithms, visualization, and space-time modelling, in spatial epidemiology. These techniques are increasingly used in commercial Geographic Information Systems, allowing for more efficient analysis of large spatial datasets. The book will be useful for epidemiologists, health care administrators, and policymakers who want to understand the spatial dynamics of disease and develop effective strategies to prevent and treat illness.| Item type | Current location | Call number | Status | Date due | Barcode |
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NASSDOC Library Book Cart | 614.42 SPA (Browse shelf) | Available | 52574 |
Includes Index
This book provides an overview of current research in spatial epidemiology, covering topics such as exposure to environmental factors, chronic and infectious diseases, accessibility to healthcare settings, and new methods in Geographical Information Science and Systems. Spatial epidemiology helps health care administrators and policymakers understand the spatial dynamics of disease, including areas of high incidence and prevalence, which can aid resource allocation and planning during disease outbreaks. The book highlights the importance of new methodologies, such as clustering algorithms, visualization, and space-time modelling, in spatial epidemiology. These techniques are increasingly used in commercial Geographic Information Systems, allowing for more efficient analysis of large spatial datasets. The book will be useful for epidemiologists, health care administrators, and policymakers who want to understand the spatial dynamics of disease and develop effective strategies to prevent and treat illness.
English
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