Spatial Analysis in Health Geography / edited by Pavlos Kanaroglou, Eric Delmelle and Antonio Paez.

Contributor(s):

Series: Geographies of HealthPublication details: New York : Routledge, 2015Description: xxii, 321pISBN:

9781138546615

Subject(s):

DDC classification:

614.42 SPA

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.

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Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Books	NASSDOC Library Book Cart				614.42 SPA (Browse shelf(Opens below))					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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