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

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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