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Measuring urbanization pattern and extent for malaria research: a review of remote sensing approaches

Measuring urbanization pattern and extent for malaria research: a review of remote sensing approaches
Measuring urbanization pattern and extent for malaria research: a review of remote sensing approaches
Within the next 30 years, the proportion of urban dwellers will rise from under half to two thirds of the world's population. Such a shift will entail massive public health consequences, and most of this urban transition will occur in low-income regions of the world. Urban populations face very different health risks compared to those in rural areas, particularly in terms of malaria. To target effective and relevant public health interventions, the need for clear, consistent definitions of what determines urban areas and urban communities is paramount. Decision makers are increasingly seeing remote sensing as a cost-effective solution to monitoring urbanization at a range of spatial scales. This review focuses on the progress made within the field of remote sensing on mapping, monitoring, and modeling urban environments and examines existing challenges, drawbacks, and future prospects. We conclude by exploring some of the particular relevance of these issues to malaria and note that they are of more general relevance to all those interested in urban public health
stellite imagery, un mapping, mria risk
1741-3842
363-36
Tatem, A.J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Hay, S.I.
18d621e0-2813-4c05-b2b7-09df3f24aca7
Tatem, A.J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Hay, S.I.
18d621e0-2813-4c05-b2b7-09df3f24aca7

Tatem, A.J. and Hay, S.I. (2004) Measuring urbanization pattern and extent for malaria research: a review of remote sensing approaches. Journal of Public Health, 81 (3), 363-36. (doi:10.1093/jurban/jth124). (PMID:15273262)

Record type: Article

Abstract

Within the next 30 years, the proportion of urban dwellers will rise from under half to two thirds of the world's population. Such a shift will entail massive public health consequences, and most of this urban transition will occur in low-income regions of the world. Urban populations face very different health risks compared to those in rural areas, particularly in terms of malaria. To target effective and relevant public health interventions, the need for clear, consistent definitions of what determines urban areas and urban communities is paramount. Decision makers are increasingly seeing remote sensing as a cost-effective solution to monitoring urbanization at a range of spatial scales. This review focuses on the progress made within the field of remote sensing on mapping, monitoring, and modeling urban environments and examines existing challenges, drawbacks, and future prospects. We conclude by exploring some of the particular relevance of these issues to malaria and note that they are of more general relevance to all those interested in urban public health

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More information

Published date: September 2004
Keywords: stellite imagery, un mapping, mria risk
Organisations: Geography & Environment, PHEW – S (Spatial analysis and modelling)

Identifiers

Local EPrints ID: 344464
URI: http://eprints.soton.ac.uk/id/eprint/344464
ISSN: 1741-3842
PURE UUID: 5178b667-b5c5-4bd5-8a94-4e963be90026
ORCID for A.J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

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Date deposited: 16 Nov 2012 14:33
Last modified: 15 Mar 2024 03:43

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Contributors

Author: A.J. Tatem ORCID iD
Author: S.I. Hay

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