Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS

This timely and groundbreaking work demonstrates how to develop models of vector-borne disease risks based on different environmental and socioeconomic variables and to assess the association between these variables and their vectors in a geographic information system (GIS) environment. It addresses new spatial approaches and techniques based on location and environment. The book also introduces methods to identify, determine, and analyze the trend, movement, and distribution of diseases and the vectors that transmit disease.

Auteur

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.

Résumé
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

Contenu

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.