Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS
Published on 1. May 2015
262 pages
978-1-4987-6036-2 (ISBN)
Description
Master GIS Applications on Modelling and Mapping the Risks of DiseasesInfections 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
Reviews / Votes
"... 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
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Product notice
Reflowable
File size
17,54 MB
ISBN-13
978-1-4987-6036-2 (9781498760362)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Hassan M. Khormi | Lalit Kumar
Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS
Book
03/2021
1st Edition
CRC Press
€112.10
Shipment within 10-20 days
Hassan M. Khormi | Lalit Kumar
Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS
Book
05/2015
1st Edition
CRC Press
€216.50
Article not available for order
Persons
Dr. 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.
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.
Content
Introduction. Modelling and Simulating the Prevalence of Vector-Borne Diseases Around the World and Efforts for Combat and Control. Cartographies and Maps of Vector-Borne Diseases. Spatial Data. Common Spatial Methods for Modelling and Analyzing Spatial and Temporal Patterns and Distributions of Mosquito-Borne Diseases. Spatial Variation Risk. Modelling Associations between Mosquito-Borne Diseases and Environmental and Socioeconomic Factors. Global Climate Change and Modelling the Potential Distribution of Vector-Borne Disease. Conclusion.
