Master 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.
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