Health Geography
Theories, Methods, and Case Studies
- 1st Edition - January 1, 2027
- Latest edition
- Author: Peng Jia
- Language: English
Health Geography: Theories, Methods, and Case Studies examines the interdisciplinary domain of health geography, systematically integrating geographical science with public health… Read more
Description
Description
Health Geography: Theories, Methods, and Case Studies examines the interdisciplinary domain of health geography, systematically integrating geographical science with public health paradigms. The book provides an in-depth analysis of the theoretical foundations, methodological innovations, and practical implications of health geography. Special emphasis is placed on employing geo-spatial technologies, such as Geographic Information Systems (GIS) and remote sensing to enhance disease prevention, health risk assessments, and healthcare resource allocation.
By fostering an integrative dialogue among geography, epidemiology, and advanced technological approaches, the book addresses contemporary public health challenges from local to global scales. The book includes over 50 international case studies addressing infectious and chronic diseases, and health resource allocation.
By fostering an integrative dialogue among geography, epidemiology, and advanced technological approaches, the book addresses contemporary public health challenges from local to global scales. The book includes over 50 international case studies addressing infectious and chronic diseases, and health resource allocation.
Key features
Key features
- Includes a comprehensive overview of contemporary techniques (including spatial data acquisition through wearable devices, Internet of Things (IoT), and survey methods)
- Provides practical insights through detailed case studies that address critical global health issues, including infectious disease surveillance, chronic disease management, health risk assessments, and the optimization of healthcare resources
- Discusses innovative frameworks, such as spatial life-course analysis and planetary health, offering readers exposure to pioneering research trends
Readership
Readership
Graduate students and advanced undergraduates specializing in health geography, medical geography, and public health
Table of contents
Table of contents
1. Introduction
1. Historical Development of Health Geography
2. Definition of Health Geography
3. Relationship Between Health Geography and Related Disciplines
3.1. Geography and Public Health
3.2. Relevant Interdisciplinary Fields
4. Summary
2. Foundations of Health Geography
5. Classical Theories
5.1. Fundamental Geographic Laws
5.2. Social Ecological Theory
6. Common Descriptions of Health Outcomes
6.1. Frequently Used Measurement Indicators
6.2. Intensity of Disease Transmission
6.3. Three-Dimensional Disease Distribution
7. Common Research Designs in Health Geography
7.1. Cross-sectional Studies
7.2. Ecological Studies
7.3. Cohort Studies
7.4. Case-Control Studies
7.5. Experimental Studies
8. Summary
3. Common Population Health Data in Health Geography
9. Traditional Health Data
9.1. Historical Records
9.2. Medical Records
9.3. Routine Surveillance Data
9.4. Questionnaire Survey Data
10. Health Big Data
10.1. Sources of Health Big Data
10.2. Application Domains of Health Big Data
10.3. Technological Support for Health Big Data
11. Ethical Issues Related to Health Data
12. Summary
4. Common Spatial Information Technologies and Data in Health Geography
13. Spatial Information Technologies
13.1. Remote Sensing
13.2. Global Navigation Satellite Systems (GNSS)
13.3. Geographic Information Systems (GIS)
14. Geospatial Data
14.1. Data Sources
14.2. Data Characteristics
14.3. Data Structures
14.4. Data Processing
14.5. Geospatial Data Analysis
15. Summary
5. Common Statistical Methods in Health Geography
16. Descriptive Statistics
16.1. Common Indicators
16.2. Variable Types
16.3. Tests for Differences
17. Linear Regression
17.1. General Linear Regression
17.2. Generalized Linear Models (GLMs)
17.3. Other Generalized Linear Models
18. Multilevel Statistical Models
18.1. Random Intercept Models
18.2. Random Slope Models
18.3. Spatial Multilevel Models
19. Geographically Weighted Regression (GWR)
19.1. Conventional Geographically Weighted Models
19.2. Other Geographically Weighted Models
20. Time Series Analysis
20.1. Traditional Time Series Models
20.2. Distributed Lag Models
21. Structural Equation Modeling
22. Survival Analysis
22.1. Parametric Survival Analysis
22.2. Nonparametric Estimation and Comparison
22.3. Semiparametric Methods and Cox Proportional Hazards Models
22.4. Other Survival Analysis Models
23. Summary
6. Artificial Intelligence in Health Geography
24. Artificial Intelligence Technologies
25. Common AI Methods
25.1. Machine Learning Algorithms
25.2. Knowledge Graphs
25.3. Computer Vision and Natural Language Processing
26. AI–Health Geography Industrial Chain
26.1. Foundational Layer of the AI–Health Geography Chain
26.2. Technological Layer of the AI–Health Geography Chain
26.3. Application Layer of the AI–Health Geography Chain
27. Summary
7. Complex Systems Models in Health Geography
28. Cellular Automata
28.1. Conceptual Framework
28.2. Model Components
28.3. Model Characteristics
28.4. Case Studies
28.5. Future Directions and Challenges
29. Agent-Based Models
29.1. Conceptual Framework
29.2. Model Components
29.3. Model Characteristics
29.4. Case Studies
29.5. Future Directions and Challenges
30. Complex Network Analysis
30.1. Conceptual Framework
30.2. Model Components
30.3. Model Characteristics
30.4. Case Studies
30.5. Future Directions and Challenges
31. System Dynamics Models
31.1. Conceptual Framework
31.2. Model Components
31.3. Model Characteristics
31.4. Case Studies
31.5. Future Directions and Challenges
32. Infectious Disease SEIR Model
32.1. Conceptual Framework
32.2. Model Components
32.3. Model Characteristics
32.4. Case Studies
32.5. Future Directions and Challenges
33. Summary
8. Health Risk Factors
34. Definition of Health Risk Factors
35. Types of Health Risk Factors
35.1. Individual Risk Factors
35.2. Environmental Risk Factors
36. Major Research Directions
37. Summary
9. Infectious Disease Research
38. Fundamental Concepts in Infectious Disease Research
38.1. Sources of Infection
38.2. Modes of Transmission
38.3. Susceptible Populations
39. Influence of Environmental Factors on Infectious Disease Dynamics
39.1. Natural Environmental Factors and Case Studies
39.2. Socioeconomic Factors and Case Studies
39.3. Comprehensive Factor Analysis and Case Studies
40. Summary
10. Chronic Noncommunicable Diseases Research
41. Overview of Chronic Noncommunicable Diseases
42. Disease Burden 10.3 Common Types of Chronic Noncommunicable Diseases and Case Studies
42.1. Cardiovascular Diseases
42.2. Cancer
42.3. Respiratory Diseases
42.4. Diabetes
42.5. Mental Health Disorders
43. Summary
11. Healthcare Resource Allocation
44. Spatial Accessibility Analysis of Healthcare Resources
44..1 Direct Distance Method
44.2. Gravity Model Method
44.3. Mobile Search Method
44.4. Cost Distance Method
44.5. Isochrone Method
45. Healthcare Service Region Delimitation
45.1. Traditional Delimitation Methods
45.2. Huff Model-based Healthcare Delimitation
45.3. TTHA Algorithm-based Healthcare Delimitation
45.4. Census Data-based Healthcare Delimitation
46. Summary
12. Healthy Cities and Health Industry
47. Healthy Cities
47.1. Definition
47.2. Development History
47.3. Development of Healthy Cities in China
47.4. Evaluation Systems for Healthy Cities
48. Health Industry
48.1. Definition
48.2. Historical Development
48.3. Development of China's Health Industry
48.4. Challenges Facing China's Health Industry
49. Summary
13. Frontier Perspectives and Research in Health Geography
50. Health Geography from a Spatial Life-Course Perspective
50.1. Development of the Spatial Life-Course Perspective
50.2. Theoretical Foundations
50.3. Key Research Questions
51. Health Geography from a Planetary Health Perspective
51.1. Development of Planetary Health
51.2. Theoretical Foundations
51.3. Current Key Research Questions
52. Summary
1. Historical Development of Health Geography
2. Definition of Health Geography
3. Relationship Between Health Geography and Related Disciplines
3.1. Geography and Public Health
3.2. Relevant Interdisciplinary Fields
4. Summary
2. Foundations of Health Geography
5. Classical Theories
5.1. Fundamental Geographic Laws
5.2. Social Ecological Theory
6. Common Descriptions of Health Outcomes
6.1. Frequently Used Measurement Indicators
6.2. Intensity of Disease Transmission
6.3. Three-Dimensional Disease Distribution
7. Common Research Designs in Health Geography
7.1. Cross-sectional Studies
7.2. Ecological Studies
7.3. Cohort Studies
7.4. Case-Control Studies
7.5. Experimental Studies
8. Summary
3. Common Population Health Data in Health Geography
9. Traditional Health Data
9.1. Historical Records
9.2. Medical Records
9.3. Routine Surveillance Data
9.4. Questionnaire Survey Data
10. Health Big Data
10.1. Sources of Health Big Data
10.2. Application Domains of Health Big Data
10.3. Technological Support for Health Big Data
11. Ethical Issues Related to Health Data
12. Summary
4. Common Spatial Information Technologies and Data in Health Geography
13. Spatial Information Technologies
13.1. Remote Sensing
13.2. Global Navigation Satellite Systems (GNSS)
13.3. Geographic Information Systems (GIS)
14. Geospatial Data
14.1. Data Sources
14.2. Data Characteristics
14.3. Data Structures
14.4. Data Processing
14.5. Geospatial Data Analysis
15. Summary
5. Common Statistical Methods in Health Geography
16. Descriptive Statistics
16.1. Common Indicators
16.2. Variable Types
16.3. Tests for Differences
17. Linear Regression
17.1. General Linear Regression
17.2. Generalized Linear Models (GLMs)
17.3. Other Generalized Linear Models
18. Multilevel Statistical Models
18.1. Random Intercept Models
18.2. Random Slope Models
18.3. Spatial Multilevel Models
19. Geographically Weighted Regression (GWR)
19.1. Conventional Geographically Weighted Models
19.2. Other Geographically Weighted Models
20. Time Series Analysis
20.1. Traditional Time Series Models
20.2. Distributed Lag Models
21. Structural Equation Modeling
22. Survival Analysis
22.1. Parametric Survival Analysis
22.2. Nonparametric Estimation and Comparison
22.3. Semiparametric Methods and Cox Proportional Hazards Models
22.4. Other Survival Analysis Models
23. Summary
6. Artificial Intelligence in Health Geography
24. Artificial Intelligence Technologies
25. Common AI Methods
25.1. Machine Learning Algorithms
25.2. Knowledge Graphs
25.3. Computer Vision and Natural Language Processing
26. AI–Health Geography Industrial Chain
26.1. Foundational Layer of the AI–Health Geography Chain
26.2. Technological Layer of the AI–Health Geography Chain
26.3. Application Layer of the AI–Health Geography Chain
27. Summary
7. Complex Systems Models in Health Geography
28. Cellular Automata
28.1. Conceptual Framework
28.2. Model Components
28.3. Model Characteristics
28.4. Case Studies
28.5. Future Directions and Challenges
29. Agent-Based Models
29.1. Conceptual Framework
29.2. Model Components
29.3. Model Characteristics
29.4. Case Studies
29.5. Future Directions and Challenges
30. Complex Network Analysis
30.1. Conceptual Framework
30.2. Model Components
30.3. Model Characteristics
30.4. Case Studies
30.5. Future Directions and Challenges
31. System Dynamics Models
31.1. Conceptual Framework
31.2. Model Components
31.3. Model Characteristics
31.4. Case Studies
31.5. Future Directions and Challenges
32. Infectious Disease SEIR Model
32.1. Conceptual Framework
32.2. Model Components
32.3. Model Characteristics
32.4. Case Studies
32.5. Future Directions and Challenges
33. Summary
8. Health Risk Factors
34. Definition of Health Risk Factors
35. Types of Health Risk Factors
35.1. Individual Risk Factors
35.2. Environmental Risk Factors
36. Major Research Directions
37. Summary
9. Infectious Disease Research
38. Fundamental Concepts in Infectious Disease Research
38.1. Sources of Infection
38.2. Modes of Transmission
38.3. Susceptible Populations
39. Influence of Environmental Factors on Infectious Disease Dynamics
39.1. Natural Environmental Factors and Case Studies
39.2. Socioeconomic Factors and Case Studies
39.3. Comprehensive Factor Analysis and Case Studies
40. Summary
10. Chronic Noncommunicable Diseases Research
41. Overview of Chronic Noncommunicable Diseases
42. Disease Burden 10.3 Common Types of Chronic Noncommunicable Diseases and Case Studies
42.1. Cardiovascular Diseases
42.2. Cancer
42.3. Respiratory Diseases
42.4. Diabetes
42.5. Mental Health Disorders
43. Summary
11. Healthcare Resource Allocation
44. Spatial Accessibility Analysis of Healthcare Resources
44..1 Direct Distance Method
44.2. Gravity Model Method
44.3. Mobile Search Method
44.4. Cost Distance Method
44.5. Isochrone Method
45. Healthcare Service Region Delimitation
45.1. Traditional Delimitation Methods
45.2. Huff Model-based Healthcare Delimitation
45.3. TTHA Algorithm-based Healthcare Delimitation
45.4. Census Data-based Healthcare Delimitation
46. Summary
12. Healthy Cities and Health Industry
47. Healthy Cities
47.1. Definition
47.2. Development History
47.3. Development of Healthy Cities in China
47.4. Evaluation Systems for Healthy Cities
48. Health Industry
48.1. Definition
48.2. Historical Development
48.3. Development of China's Health Industry
48.4. Challenges Facing China's Health Industry
49. Summary
13. Frontier Perspectives and Research in Health Geography
50. Health Geography from a Spatial Life-Course Perspective
50.1. Development of the Spatial Life-Course Perspective
50.2. Theoretical Foundations
50.3. Key Research Questions
51. Health Geography from a Planetary Health Perspective
51.1. Development of Planetary Health
51.2. Theoretical Foundations
51.3. Current Key Research Questions
52. Summary
Product details
Product details
- Edition: 1
- Latest edition
- Published: January 1, 2027
- Language: English
About the author
About the author
PJ
Peng Jia
Professor Peng Jia, based at Wuhan University in China, is a health geographer and spatial epidemiologist. He coined the disciplinary term “Spatial Lifecourse Epidemiology. He received his B.Eng. in environmental engineering from Nanjing Agricultural University (2007), M.S. in remote sensing and GIS from Chinese Academy of Sciences (2010), M.S. in spatial epidemiology from Emerging Pathogens Institute at the University of Florida (2012), and Ph.D. in health geography from Louisiana State University (2015). He was the recipient for the Outstanding Article of the Year Award from the U.S. Agency for Healthcare Research and Quality (2015), the IJERPH Young Investigator Award (2019), and the National Youth Geographical Science and Technology Award (2021) by the Geographical Society of China. His research has been funded by multiple national/regional agencies, including the National Natural Science Foundation of China, the Netherlands Organization for Scientific Research, and the Royal Netherlands Academy of Arts and Sciences. He has published more than 270 SCI journal articles and invited commentaries, including in Nature Medicine, Nature Communications, Lancet Global Health
Affiliations and expertise
Wuhan University, China