الفهرس 
GIS AND SPATIAL ANALYSISOnly 14 pages are availabe for public view
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Abstract
I
ABSTRACT
Mas/a/a Mohamed Ahmed. On GIS modeling for future health reform.
For the degree of PhD Ain Shams university, Computers and System
Engineering Department, Cairo 2002.
GIS is used in modeling, simulation, forecasting, prediction and
prescription. To help planners and policy makers. GIS is a systems for
the collection, storage, analysis and display of spatially referenced
data such data in this research, associated with health and diseases.
GIS has been used as decision support tool to plan the spatial
configuration of health care services and the response of health system
to major disasters and emergencies. Since proprietary GIS is not fully
support analytical modeling, it is important to integrate GIS with
spatial analysis to achieve a comprehensive tool for GIS modeling.
We use spatial analysis tools integrated with GIS to overcome these
lack. The integration of SA and GIS provide useful and valuable
perspectives.
Socioecononic data is an important factor affecting public health,
and we can not perform health reform without studying the strong
relation between health and socioeconomic data. Surface model
approach is the suitable data representation tools for integrating,
displaying and analyzing socioeconomic and health information. We
deal with many approaches which cover health GIS modeling
applications such as: locational modeling, spatial forecasting modeling
and space-time modeling. Tailored tools for building dynamic models
are linked with GIS to make use of its properties and to integrate most
of the tools necessary in time-geographic research: animated figures
and maps, spatio-temporal management, and dynamic modeling.
The case study will cover the application of GIS modeling in future
health reform (FHR) and diseases distribution in Sohag governorate .:
In future health reform, we analyse the relations between the available
health care units and the target areas to find out the unserviced areas
to improve its quality of service. One of the important problems is to
determine accurately the serviced and unserviced areas according to
available health care units and required demands. This problem can be
IIIsolved by two approaches; spatial model and GIS mathematical
model.
These two approaches were discussed and tested and compared
with respect to their assumption and constrains, input and output data
and accuracy. The author concludes that a developed GISMathematical
model is most suitable to GtS-Modelling for FHR. The
results of the model gave that there are 160 unserviced urban areas. So
it is required to construct 27 new PHC unit and to reallocate some of
the current ones to reach complete health care coverage for Sohag
governorate.
In diseases distribution, Bilharziases disease cases were collected
at the level of Sohag governorate districts and then perform analysis
about the causes of the disease such as, environmental factors and area
of residence and also, analyze the linkage between Bilharziases cases
and other diseases such as renal failure. There are strong relations
between Bilharzia and these factors. Also in cancer incidence cases,
analysis was performed for different factors affecting its rate of spread
as environmental features, emissions, land use patterns and high
power transmission lines, and it was found that there are strong
relations between these factors and cancer incidence cases.
Keywords:
Auto Correlation
Choropleth Maps
Clustering
Correlation
Disease Distribution
Dynamic Modelling
Dynamic Spatial Model
Ecological Fallacy
Epidemiology
Future Health Reform
Geographical Aggregation
GIS Modelling
Local Statistics
Locational Modelling
Modelled Representation
Modifiable Areal Unit Problem
Network Analysis
Population Density Model
Quantitative Analysis
Raster Representation
Spatial Analysis
Spatial Decision Support System
Spatial Forecasting
Spatial Statistics
Spatio-Temporal Managment
Statistical Theory
Vector Representation
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