Global environmental data for mapping infectious disease distribution.

Global environmental data for mapping infectious disease distribution. Research Abstract Details 

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Global environmental data for mapping infectious disease distribution. Abstract Text:

S I Hay,A J Tatem,A J Graham,S J Goetz,D J Rogers,

This contribution documents the satellite data archives, data processing methods and temporal Fourier analysis (TFA) techniques used to create the remotely sensed datasets on the DVD distributed with this volume. The aim is to provide a detailed reference guide to the genesis of the data, rather than a standard review. These remotely sensed data cover the entire globe at either 1x1 or 8x8km spatial resolution. We briefly evaluate the relationships between the 1x1 and 8x8km global TFA products to explore their inter-compatibility. The 8x8km TFA surfaces are used in the mapping procedures detailed in the subsequent disease mapping reviews, since the 1x1km products have been validated less widely. Details are also provided on additional, current and planned sensors that should be able to provide continuity with these environmental variable surfaces, as well as other sources of global data that may be used for mapping infectious disease.

Global environmental data for mapping infectious disease distribution. Publishing Authors By Initials

SI Hay,AJ Tatem,AJ Graham,SJ Goetz,DJ Rogers,

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Global environmental data for mapping infectious disease distribution. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Advances in parasitology

VOLUME: 62

Page Numbers: 37-77

Journal Abbreviation: Adv. Parasitol.

ISSN: 0065-308X

DAY: 1

MONTH: 05

YEAR: 2006

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LANGUAGE: eng

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AFFILIATION: TALA Research Group, Tinbergen Building, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK; Malaria Public Health & Epidemiology Group, Centre for Geographic Medicine, KEMRI, P.O. Box 43640, 00100 Nairobi GPO, Kenya.

Country: England

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MEDLINETA: Adv Parasitol

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