Modelling Potential Malaria Spread in Germany by Use of Climate Change Projec...-image

Modelling Potential Malaria Spread in Germany by Use of Climate Change Projec...

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Item Width: 6.1 in width: 6.1 in Subject: Environmental Science (See Also Chemistry / Environmental), Life Sciences / Microbiology, Public Health, Earth Sciences / Meteorology & Climatology, Infectious Diseases, Epidemiology Subject Area: Science, Medical ISBN: 9783319038223 Publisher: Springer International Publishing A&G Series: Springerbriefs in Environmental Science Ser. Item Weight: 41.7 Oz Item Length: 9.3 in Publication Year: 2014 Author: Gunther Schmidt, Winfried Schröder Format: Trade Paperback Publication Name: Modelling Potential Malaria Spread in Germany by Use of Climate Change Projections : A Risk Assessment Approach Coupling Epidemiologic and Geostatistical Measures Book Title: Modelling Potential Malaria Spread in Germany by Use of Climate C Type: Textbook Language: English Number of Pages: VIII, 58 Pages

Description

Modelling Potential Malaria Spread in Germany by Use of Climate Change Projec.... 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. Modelling Potential Malaria Spread in Germany by Use of Climate Change Projections : A Risk Assessment Approach Coupling Epidemiologic and Geostatistical Measures, Paperback by Schröder, Winfried; Schmidt, Gunther, ISBN 3319038222, ISBN-13 9783319038223, Brand New, Free shipping in the US 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 (1) 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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