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Titlebook: Environmental Change and Malaria Risk; Global and Local Imp Willem Takken,Pim Martens,Robert J. Bogers Book Feb 20061st edition Springer Sc

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https://doi.org/10.1007/978-3-662-24625-2ria epidemic based on seasonal climate forecasts, in areas of unstable transmission, which may be used to provide early warning. Here we describe a mathematical biological model of the weatherdependent parasite transmission dynamics, within-host and within-vector. The biological structure and the ma
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https://doi.org/10.1007/978-3-642-56062-0on measures, as well as to monitor disease outbreaks. Standardizing the techniques used for rapid assessment could enable comparison of malaria risk in different ecological and epidemiological settings..Keywords: malaria; mosquito; epidemiology; entomological infection rate, rapid assessment, transm
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Book Feb 20061st editionent many hours in the type editing of the chapters, making publication of this book possible. The editors, Willem Takken Pim Martens Rob Bogers Wageningen, March 2005 Colour pages Chapter 2. Pim Martens and Chris Thomas; Figures 2 and 3 Figure 2. MARA/ARMA index of climatic suitability for P. falcip
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ecology and vector-borne diseasesThe workshop “Environmental Change and Malaria Risk: Global and Local Implications” was held to conclude a 5-year collaborative research project on environmental change and malaria risk, with field research in Kenya and Brazil. It was fitting that such a large group
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Climate change and malaria risk: complexity and scaling,explore the conceptual and methodological approaches to studying these relationships, modelling their future realization, providing estimates of health impacts, and communicating the attendant uncertainties..Keywords: complexity; scale; modelling
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https://doi.org/10.1007/978-3-662-24627-6of gas emission rates. This has now changed with the activation of the Kyoto Protocol of the United Nations Framework Convention on Climate Change. This protocol became active in February 2005 and recognizes the harmful effects of greenhouse gases on the environment.
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https://doi.org/10.1007/978-3-662-29425-3rives heterogeneities in the distribution of mosquitoes and mosquito-borne diseases can help to design better, more efficient control programmes that maximize the use of limited resources..Keywords: geographic information systems; remote sensing; mosquitoes; malaria
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