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Geoinformatics in Health Facility Analysis 1st ed. 2017 [Hardback]

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  • Formāts: Hardback, 231 pages, height x width: 235x155 mm, weight: 5486 g, 77 Illustrations, color; 22 Illustrations, black and white; XIX, 231 p. 99 illus., 77 illus. in color., 1 Hardback
  • Izdošanas datums: 13-Oct-2016
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319446231
  • ISBN-13: 9783319446233
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Geoinformatics in Health Facility Analysis 1st ed. 2017Palielināt
  • Formāts: Hardback, 231 pages, height x width: 235x155 mm, weight: 5486 g, 77 Illustrations, color; 22 Illustrations, black and white; XIX, 231 p. 99 illus., 77 illus. in color., 1 Hardback
  • Izdošanas datums: 13-Oct-2016
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319446231
  • ISBN-13: 9783319446233
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319446233.html
Keywords:
This book demonstrates how GIS techniques and statistical methods can be used to emphasise the characteristics of population and its related variables, vis-ą-vis care facilities and the status of vector borne diseases, as well as for malaria modeling. Concentrating on the Varanasi district of India, the main aim of the book is to determine and map the density areas of vector borne diseases using GIS techniques.The book explores how health GIS is an important sub-discipline of health science and medical geography, which is traditionally focused on the spatial aspects of disease ecology and health care facility analysis. 

1. Health Care System and Geospatial Technology: A Conceptual Framework of the Study.- 2. Varanasi District: Study Area Profile.- 3. Integration of Census Data with GIS for Analysis of Population Characteristics.- 4. Analysis of Health Care Facility Using GIS.- 5. GIS in Vector Borne Disease Mapping.- 6. Malaria Susceptibility Mapping Using Statistical Methods with GIS.- 7. A Geographical Survey for Utilization of Health Care Facilities.- 8. GIS in Health Care Planning.- Bibliography.- Appendix. 
1 Health Care System and Geospatial Technology: A Conceptual Framework of the Study
1(28)
1.1 Introduction
1(1)
1.2 Significance of the Study
2(1)
1.3 Role of Geospatial Technology in Health Care Analysis
3(2)
1.4 Medical Geography
5(13)
1.4.1 Determinant of Health
6(1)
1.4.2 Public Health
6(1)
1.4.3 Community Health
7(1)
1.4.4 Health Care
7(1)
1.4.5 Disease
7(1)
1.4.6 Spatial Epidemiology
8(1)
1.4.7 Concept of Primary Health Care
8(5)
1.4.8 Five-Year Plans-National Health Policy in India
13(5)
1.5 Review of Literatures
18(5)
1.6 Objective of the Study
23(1)
1.7 Hypotheses of the Work
24(1)
1.8 Data Used and Methodology for the Study
24(1)
1.9 Organization of
Chapters in This Study
25(4)
References
25(4)
2 Applying Remote Sensing and GIS in Study of Physical and Cultural Aspects of Varanasi District
29(34)
2.1 Locational Extent of the Area
29(2)
2.2 Geology of the Area
31(1)
2.3 Physiographic Divisions
32(2)
2.3.1 Upper Ganga-Varuna Plain
32(1)
2.3.2 Varuna-Gomati Interfluence
32(1)
2.3.3 The Ganga-Varuna Interfluence
33(1)
2.4 Drainage and Water Ponds
34(3)
2.4.1 The Ganga River
35(1)
2.4.2 The Gomati River
36(1)
2.4.3 The Varuna River
36(1)
2.4.4 The Assi River
36(1)
2.5 Climatic Characteristics of the Varanasi District
37(2)
2.5.1 Temperature
37(1)
2.5.2 Precipitation/Rainfall
38(1)
2.6 Ground Water: Present Status and Prospects
39(10)
2.6.1 Current Status of Water Supply
41(1)
2.6.2 Available Resources
42(1)
2.6.3 Ponds as a Source of Recharge
43(1)
2.6.4 Pollution
44(5)
2.7 Soils
49(2)
2.7.1 Ganga Sandy Soil
50(1)
2.7.2 Western Low Land Soil
50(1)
2.7.3 Western Upland Soil
50(1)
2.7.4 Loamy Soil
51(1)
2.8 Land Use and Natural Vegetation
51(2)
2.9 Transportation Network and Connectivity
53(2)
2.10 Communication and Educational Facilities
55(1)
2.11 Solid Waste Generation and Management
56(7)
References
60(3)
3 Integration of Census Data with GIS for Analysis of Population Characteristics
63(30)
3.1 Population Characteristics
63(1)
3.2 Population Projection
64(2)
3.3 Population Density
66(4)
3.3.1 Arithmetic Density
66(1)
3.3.2 Physiological Density
66(1)
3.3.3 Agricultural Density
67(3)
3.4 Population Growth and Distribution
70(9)
3.4.1 Male-female Population Growth Rate
73(2)
3.4.2 Scheduled Caste/Scheduled Tribe (SC/ST) Population
75(4)
3.5 Spatial Pattern of Sex Ratio
79(2)
3.6 Spatial Pattern of Literacy
81(2)
3.7 Occupational Structure
83(10)
3.7.1 Main Workers
88(4)
3.7.2 Non-Workers
92(1)
References
92(1)
4 Analysis of Health Care Facility Using GIS and GPS
93(30)
4.1 Health Care Facilities
93(2)
4.2 Spatial Analysis of Social Indicator in Varanasi District
95(1)
4.3 Spatial Analysis of Health Care Facilities in Varanasi District
95(12)
4.3.1 Density of Health Care Facilities
100(1)
4.3.2 Distribution and Condition of Bed in the PHCs and CHCs/Hospitals
100(1)
4.3.3 Availability of Doctors and Paramedical Staff
100(3)
4.3.4 Distribution of Health Care Facilities in Terms of Per Lakh Population
103(4)
4.4 Physical Status and Other Available Facilities at Primary Health Centres
107(9)
4.5 Proximity/Buffer Area Analysis of PHCs/New PHCs/CHCs
116(3)
4.6 Shortest Road Estimation Through Network Analysis
119(4)
References
121(2)
5 GIS in Vector Born Disease Mapping
123(16)
5.1 Vector Born Disease
123(1)
5.2 Disease Mapping
124(1)
5.3 Important Vector-Borne Diseases
125(4)
5.3.1 Malaria
125(3)
5.3.2 Dengue Fever
128(1)
5.3.3 Filariasis
128(1)
5.3.4 Kala-Azar
128(1)
5.4 Data Required for GIS Based Vector Born Disease (VBD) Mapping
129(1)
5.5 Methodology Adopted for Vector Born Disease (VBD) Mapping
129(1)
5.6 Status of Vector Born Diseases (VBD) in the Varanasi District
130(9)
References
136(3)
6 A Study of Malaria Susceptibility Mapping Using Statistical Methods with GIS
139(38)
6.1 Introduction
139(1)
6.2 Data Collection and Methodology for Malaria Susceptibility Modeling
140(2)
6.2.1 Malaria Inventory Map
141(1)
6.3 Malaria Influencing Data Layers and Related Map Preparations
142(16)
6.3.1 Rainfall
142(1)
6.3.2 Temperature
143(1)
6.3.3 Population Density
144(2)
6.3.4 Distance to River/Streams
146(3)
6.3.5 Distance to Road
149(1)
6.3.6 Distance to Health Facilities
149(3)
6.3.7 Distance to Water Ponds
152(1)
6.3.8 Normalized Difference Vegetation Index (NDVI)
153(2)
6.3.9 Land Use Land Cover (LULC)
155(3)
6.4 Methods and Results of Statistical Methods
158(12)
6.4.1 Multiple Linear Regression Method (Step-Wise Method)
158(5)
6.4.2 Information Value Method (InfoVal)
163(3)
6.4.3 Heuristic Approach (Qualitative Map Combination)
166(4)
6.5 Comparison of Statistical Methods to Select Optimum Model for MSZ by Qs Method
170(3)
6.6 Verification of the Susceptibility Methods by Area Under Curve (AUC)
173(4)
References
176(1)
7 An Analysis of Geographical Survey for Utilization of Health Care Facilities
177(36)
7.1 Utilization of Health Care Service
177(1)
7.2 Vaccination and Immunization
178(3)
7.2.1 Infant Immunization
179(1)
7.2.2 Extensive Vaccination and Immunization Programme
179(2)
7.3 Utilization of Family Welfare Programme
181(7)
7.3.1 Immunization to Pregnant Women
184(1)
7.3.2 Delivery
184(1)
7.3.3 Distribution of Vitamin A and Iron Tablets
185(1)
7.3.4 Contraception
185(1)
7.3.5 Treatment
185(3)
7.4 The Utilization of Health Care Facilities in Opinion of Respondents Through Personal Survey
188(25)
7.4.1 Distance Wise Respondent's Opinion Regarding Health Care Facilities
192(4)
7.4.2 Caste/Religion-Wise Respondent's Opinion Regarding Health Care Facilities
196(4)
7.4.3 Education-Wise Respondents Opinion Regarding Health Care Facilities
200(3)
7.4.4 House Type-Wise Respondents Opinion Regarding Health Care Facilities
203(2)
7.4.5 Occupation-Wise Respondents Opinion Regarding Utilization of Health Care Services
205(2)
7.4.6 Nature of Health Care Facilities and Their Availability
207(4)
References
211(2)
8 GIS Initiatives in Health Care Planning
213
8.1 Introduction
213(1)
8.2 Materials and Methodology
214(2)
8.3 Result & Discussion
216(4)
8.3.1 Distance to Road & Highway and Weightage
216(1)
8.3.2 Distance to Health Centres & City Hospitals and Weightage
217(1)
8.3.3 Weightage of Malaria Susceptible Model Map
218(2)
8.4 Hospital Requirement Index (HRI) and Hospital Requirement Zone (HRZ)
220(1)
8.5 Reasons for Systematic Planning of Health Facilities
221(8)
8.5.1 Inadequate Facilities and Network of Health Centres and Sub-Centres
221(2)
8.5.2 Poor Infrastructure Facilities at Primary Health Centres (PHCs)
223(1)
8.5.3 Distance Constraint
224(1)
8.5.4 Poor Socio-Economic Condition of the Villagers
225(1)
8.5.5 Less Availability of Doctors
226(1)
8.5.6 Lack of Awareness About the Services Available of PHCs/CHCs
226(1)
8.5.7 Cause of Dissatisfaction
227(2)
8.6 Education and Training
229(1)
8.7 Action Points
230
References
231
Dr. Praveen Kumar Rai is working as an Assistant Professor of Remote Sensing and GIS course in Department of Geography, Institute of Science Banaras Hindu University, Varanasi, India since 25th August 2008. He did his M.Sc. in Geography with Remote Sensing specialization from Banaras Hindu University (2004-06) and M.Tech. in Remote Sensing from Birla Institute of Technology, Mesra, Ranchi (2006-08). Dr. Rai also did his PhD. degree in Remote Sensing and GIS from Birla Institute of Technology, Mesra, Ranchi (2009-12). His area of specialization is Glacier Mapping Using Remote sensing. Land Use Land Cover Mapping, Health GIS, Natural Resource Mapping and Management, Regional & Urban Planning using GIS. He has published more than 38 international and national research papers in the various fields of Remote Sensing and GIS and has also written 2 books in the application of Remote Sensing and GIS. Prof. M.S.Nathawat is a well-known Geographer. After his M.A. in Geography from Rajasthan University (1980), he worked in South Asia Study Centre, University of Rajasthan as a Research Fellow (1982-1984) and then he joined as a Scientist/Lecturer (1985-93) and Senior Scientific Officer and in-charge (1993-98) in Dept. of Remote Sensing, B.M. Birla Science & Technology Centre, Jaipur. He also joined State NRDMS Centre, Dept. of Science & Technology, Govt. of Haryana as a Project Director (1998-2001). Prof. Nathawat headed Department of Remote Sensing & Geoinformatics, Birla Institute of Technology (BIT), Mesra, Ranchi (India) from 2001 to 2011. At present Prof. Nathawat is working   as a Professor in Geography Discipline School of Sciences, Indira Gandhi National Open University (IGNOU), New Delhi, India since 2011. He did his PG Diploma (1986-87) in Remote Sensing Techniques in Geology & Geomorphology, Indian Institute of Remote Sensing, Dept. of Space. Dehradun. He has completed his PhD (1992-96) in University of Rajasthan in the field of Geomorphological Aspects of the Processes of Desertification in Rajasthan:  Monitoring & Dynamics with Remote Sensing. His area of specialization and research interest are Desertification, GIS, Natural Resources Management, Regional & Urban Planning, Environmental Geomorphology, Climate Change, Sustainable livelihood    and Disaster Management. He has 30 years research experiences and 16 years teaching experiences in the field of Remote Sensing and GIS and has published more than 60 research papers in various international and national journals and has also written 8 books. Prof Nathawat also made significant contributions in number of Atlases published by NRSC (ISRO), HSCST, and SAC etc. He has been awarded Baden-Wuerttemberg Fellowship-2009-10 (Under Indo-German Cultural Exchange Programme). Under his supervision more than 15 PhD. students and 42 M.Tech./M.Sc. students have completed their degree.