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OverviewMaster GIS Applications on Modelling and Mapping the Risks of Diseases Infections transmitted by mosquitoes, ticks, triatomine bugs, sandflies, and black flies cause significant rates of death and disease, especially in developing countries. Why are certain places more susceptible to vector-borne diseases? Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS reveals how using geographic information systems (GISs) can provide a greater understanding of how vector-borne diseases are spread and explores the use of geographical techniques in vector-borne disease monitoring, management, and control. This text provides readers with a better understanding of the vector-borne disease problem and its impact on public health. Introduces New Spatial Approaches Based on Location and Environment The book exposes readers to information on how to identify vector hotspots, determine when and where they can occur, and eliminate vector breeding sites. Utilizing simple illustrations based on real data, as well as the authors' more than 20 years of experience in the field, this text combines key spatial analysis techniques available in modern GIS with real-world applications. It offers step-by-step instruction on developing vector-borne disease risk models at different spatial and temporal scales and helps practitioners formulate disease causation hypotheses and identify areas at risk. In addition, it addresses medical geography, GIS, spatial analysis, and modelling, and covers other factors related to the spread of vector-borne diseases. This book: * Gives an overview of common vector-borne diseases, GIS-based mapping and modelling, impacts of climate change on vector distributions, and availability and importance of accurate epidemiologically relevant spatial data * Describes modelling and simulating the prevalence of vector-borne diseases around the world * Summarizes some key spatial techniques and how they can be used to aid in the analysis of geographical and attributed data * Defines the concept of establishing and characterizing spatial data systems, including their quality, errors, references, and issues of scale, and building such a system from often quite separate, disparate sources * Shows how to develop weather-based predictive modelling, which can be used to predict the weekly trend of vector abundance * Provides a GIS case study for modelling the future potential distribution of vector-borne disease based on different climatic change scenarios Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS combines spatial analysis techniques available in modern GIS, together with real-world applications to provide you with a better understanding of ways to map, model, prevent, and control vector-borne diseases. Full Product DetailsAuthor: Hassan M. Khormi , Lalita S. KumarPublisher: Taylor & Francis Ebooks Imprint: CRC Press ISBN: 9781482227406ISBN 10: 1482227401 Pages: 262 Publication Date: 11 May 2015 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Electronic book text Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsIntroduction Vector-Borne Diseases Mapping and Modelling Based on Geographic Information Systems Impacts of Climate Change on Vector Distributions Availability and Importance of Accurate Epidemiologically Relevant Spatial Data Structure of This Book References Modelling and Simulating the Prevalence of Vector-Borne Diseases Around the World and Efforts for Combat and Control Introduction GISs in Vector-Borne Disease Modelling Decision Support Systems Spatial Analysis Capabilities of GISs Examples of GIS-Based Modelling of Vector-Borne Diseases Conclusion References Cartographies and Maps of Vector-Borne Diseases Introduction Cartographies of Vector-Borne Diseases Mapping Vector-Borne Diseases Conclusion References Spatial Data Introduction The Importance of Spatial Data Characteristics of Spatial Data, Including Topology and Topological Relationships and Their Importance Relationship between Entities Topology Georeferencing Spatial Referencing Aggregating Geographic Data Data Types Spatial Data Acquisition Data Quality Issues Sources of Error in GISs Issues of Scale Measurement Scales: Nominal, Ordinal, Interval, and Ratio Satellite Imagery as a Source of Spatial Data Conclusion References Common Spatial Methods for Modelling and Analyzing Spatial and Temporal Patterns and Distributions of Mosquito-Borne Diseases Introduction Pattern Analysis Distribution Analysis Conclusion References Spatial Variation Risk Introduction Density Analysis Interpolation References Modelling Associations between Mosquito-Borne Diseases and Environmental and Socioeconomic Factors Introduction Verifying Required Data Modelling Spatial Associations References Global Climate Change and Modelling the Potential Distribution of Vector-Borne Disease Introduction Distribution of Dengue Disease and Its Vector CLIMEX, Climatic Models, and Data The Current and Potential Future Distribution Discussing the Potential Future Distribution Conclusion References Conclusion ReferencesReviews... really a good book. ... adds new information and experiences to the fields of medical geography, environmental impacts, and GIS analysis as a decision support system. -Gomaa Mohamed Dawod, Survey Research Institute, Giza, Egypt ... presented in a logical, simple to understand manner. Practical examples that are conxtualised to GIS techniques were used, making the story line relevant and ready to use by decision makers. -Prof Onisimo Mutanga, University of KwaZulu Natal Author InformationDr. Hassan M. Khormi is an assistant professor in the Department of Geography, Umm Al-Qura University (UQU), where he teaches geographic information systems (GISs) and remote sensing. Also, Dr. Hassan is a Vice Dean of the Institute of Consulting Research and Studies. In early 2013, he accepted his position as assistant professor in the Department of Geography and as deputy director of the GIS Technology Innovation Centre for administrative affairs. He is also a consultant (part-time) at Jeddah Municipality and an adjunct lecturer in the School of Environment and Rural Science, University of New England, Australia. His main research interests are in the fields of environmental modelling and GIS applications on vector-borne diseases. Dr. Lalit Kumar is an associate professor of spatial information technologies at the University of New England in Australia. He comes from Fiji, where he undertook his undergraduate and postgraduate studies in environmental science. Dr Kumar's expertise is in the use of GISs and remote-sensing technologies for mapping and modelling the environment, particularly natural resources and agricultural systems. In addition, he has contributed to over 150 publications, with over 100 journal articles in international peer-reviewed journals. Dr. Kumar is also an associate editor for the journal ISPRS Journal of Photogrammetry and Remote Sensing and an academic editor for PLoS ONE. Tab Content 6Author Website:Countries AvailableAll regions |