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Modelling Potential Malaria Spread in Germany by Use of Climate Change Projections - A Risk Assessment Approach Coupling Epidemiologic and Geostatistical Measures (Paperback, 2014 ed.) Loot Price: R1,665
Discovery Miles 16 650
Repayment Terms: R156 pm x 12*
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Modelling Potential Malaria Spread in Germany by Use of Climate Change Projections - A Risk Assessment Approach Coupling...

Modelling Potential Malaria Spread in Germany by Use of Climate Change Projections - A Risk Assessment Approach Coupling Epidemiologic and Geostatistical Measures (Paperback, 2014 ed.)

Winfried Schroeder, Gunther Schmidt

Series: SpringerBriefs in Environmental Science

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Loot Price R1,665 Discovery Miles 16 650 | Repayment Terms: R156 pm x 12*

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This book investigates the spatial distribution of potential temperature-driven malaria transmissions, using the basic reproduction rate (R0) to model the reproduction of the malaria pathogen Plasmodium vivax. The authors mapped areas at risk of an outbreak of tertian malaria in the federal state of Lower Saxony (pre-study) and for whole Germany (main-study) by means of geostatistics for past (1947-2007) and future periods. Projections based on predicted monthly mean air temperature data derived from the IPCC and regionally discriminated by two regional climate models (REMO, WettReg) for the countrywide study.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: SpringerBriefs in Environmental Science
Release date: 2014
First published: 2014
Authors: Winfried Schroeder • Gunther Schmidt
Dimensions: 235 x 155 x 5mm (L x W x T)
Format: Paperback
Pages: 58
Edition: 2014 ed.
ISBN-13: 978-3-319-03822-3
Categories: Books > Earth & environment > Geography > Biogeography
Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
Books > Medicine > Other branches of medicine > Pathology > Medical parasitology
Books > Earth & environment > The environment > Pollution & threats to the environment > Global warming
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LSN: 3-319-03822-2
Barcode: 9783319038223

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