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Titlebook: Spatial Mapping and Modelling for Kala-azar Disease; Gouri Sankar Bhunia,Pravat Kumar Shit Book 2020 The Editor(s) (if applicable) and The

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书目名称Spatial Mapping and Modelling for Kala-azar Disease
编辑Gouri Sankar Bhunia,Pravat Kumar Shit
视频video
概述Discusses the measurement, modeling and mapping of Kala-azar disease transmission.Covers the use of spatial analysis techniques in vector-borne disease through open source software.Describes sustainab
丛书名称SpringerBriefs in Medical Earth Sciences
图书封面Titlebook: Spatial Mapping and Modelling for Kala-azar Disease;  Gouri Sankar Bhunia,Pravat Kumar Shit Book 2020 The Editor(s) (if applicable) and The
描述This book addresses the current challenges in controlling Kala-azar disease (.Visceral leishmaniasis.) in India and other VL-endemic areas, and aims to develop and apply a geo-environmental risk model based on primary and secondary data with the aid of remote sensing and GIS technologies to assess and mitigate Kala-azar transmission. Through case studies carried out in India, the book provides insight into the relationship between geo-environmental variables and encroachments of Kala-azar, and identifies potential pathways for VL introduction to develop mitigation strategies using GIS and remote sensing technologies. The book critically assesses existing VL mitigation measures that do not adequately account for geo-environmental conditions, and analyzes the environmental factors that aid Kala-azar transmission using remote sensing, spatial statistics and data mining techniques. The book will be of interest to epidemiologists, researchers and practitioners using geospatial data practices to study disease transmission and associated monitoring technologies. 
出版日期Book 2020
关键词Kala-azar disease; Geoinformatics; Open source GIS; Disease ecology; Cloud computing; Remote sensing; medi
版次1
doihttps://doi.org/10.1007/978-3-030-41227-2
isbn_softcover978-3-030-41226-5
isbn_ebook978-3-030-41227-2Series ISSN 2523-3610 Series E-ISSN 2523-3629
issn_series 2523-3610
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-030-41227-2Kala-azar disease; Geoinformatics; Open source GIS; Disease ecology; Cloud computing; Remote sensing; medi
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978-3-030-41226-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Geoinformatics and Kala-azar Disease Transmission,lization, plotting, and graph in a systematized form. The spatial distribution of the disease and vectors encompasses the practice of computational investigation and illustration of geographic data using the so-called geoinformatics. Moreover, several environmental variables derived from satellite d
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