Modelling Potential Malaria Spread in Germany by Use of Climate Change Projections

A Risk Assessment Approach Coupling Epidemiologic and Geostatistical Measures

Nonfiction, Science & Nature, Science, Biological Sciences, Environmental Science, Earth Sciences, Nature
Cover of the book Modelling Potential Malaria Spread in Germany by Use of Climate Change Projections by Winfried Schröder, Gunther Schmidt, Springer International Publishing
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Author: Winfried Schröder, Gunther Schmidt ISBN: 9783319038230
Publisher: Springer International Publishing Publication: December 14, 2013
Imprint: Springer Language: English
Author: Winfried Schröder, Gunther Schmidt
ISBN: 9783319038230
Publisher: Springer International Publishing
Publication: December 14, 2013
Imprint: Springer
Language: English
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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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.

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