We a good story
Quick delivery in the UK

Computational Epidemiology

- From Disease Transmission Modeling to Vaccination Decision Making

About Computational Epidemiology

1 Paradigms in Epidemiology1.1 Methodological Paradigms 1.2 Recent Developments 1.3 Infectious Diseases and Vaccination 1.4 Objectives and Tasks 1.4.1 Modeling Infectious Disease Dynamics 1.4.2 Modeling Vaccine Allocation Strategies 1.4.3 Modeling Vaccination Decision-Making 1.4.4 Modeling Subjective Perception 1.5 Summary 2 Computational Modeling in a Nutshell 2.1 Modeling Infectious Disease Dynamics 2.1.1 Infectious Disease Models 2.1.2 Age-Specific Disease Transmissions2.2 Modeling Contact Relationships 2.2.1 Empirical Methods 2.2.2 Computational Methods 2.3 Case Study 2.3.1 2009 Hong Kong H1N1 Influenza Epidemic 2.3.2 Age-Specific Contact Matrices 2.3.3 Validation2.4 Further Remarks 2.5 Summary 3 Strategizing Vaccine Allocation 3.1 Vaccination 3.1.1 Herd Immunity 3.1.2 Vaccine Allocation Strategy 3.2 Vaccination Priorities 3.3 Age-Specific Intervention Priorities 3.3.1 Modeling Prioritized Interventions 3.3.2 Effects of Vaccination 3.3.3 Effects of Contact Reduction 3.3.4 Integrated Measures 3.4 Case Study 3.4.1 2009 Hong Kong HSI Vaccination Programme 3.4.2 Effects of Prioritized Interventions 3.5 Further Remarks 3.6 Summary 4 Explaining Individuals'' Vaccination Decisions 4.1 Costs and Benefits for Decision-Making 4.2 Game-Theoretic Modeling of Vaccination Decision-Making 4.3 Case Study 4.3.1 2009 Hong Kong HSI Vaccination Programme 4.3.2 Vaccination Coverage 4.4 Further Remarks 4.5 Summary 5 Characterizing Socially Influenced Vaccination Decisions 5.1 Social Influences on Vaccination Decision-Making 5.2 Case Study 5.2.1 Vaccination Coverage 5.3 Further Remarks 5.4 Summary 6 Understanding the Effect of Social Media 6.1 Modeling Subjective Perception 6.2 Subjective Perception in Vaccination Decision-Making 6.2.1 Dempster-Shafer Theory (DST) 6.2.2 Spread of Social Awareness 6.3 Case Study 6.3.1 Vaccination Decision-Making in an Online Social Community 6.3.2 Interplay of Two Dynamics 6.4 Further Remarks 6.5 Summary 7 Welcome to the Era of Systems Epidemiology 7.1 Systems Thinking in Epidemiology 7.2 Systems Modeling in Principle 7.3 Systems Modeling in Practice 7.4 Toward Systems Epidemiology 8 Further Readings References

Show more
  • Language:
  • English
  • ISBN:
  • 9783030521073
  • Binding:
  • Hardback
  • Pages:
  • 113
  • Published:
  • September 18, 2020
  • Edition:
  • 12020
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 454 g.
Delivery: 2-3 weeks
Expected delivery: December 12, 2024

Description of Computational Epidemiology

1 Paradigms in Epidemiology1.1 Methodological Paradigms
1.2 Recent Developments
1.3 Infectious Diseases and Vaccination
1.4 Objectives and Tasks
1.4.1 Modeling Infectious Disease Dynamics
1.4.2 Modeling Vaccine Allocation Strategies
1.4.3 Modeling Vaccination Decision-Making
1.4.4 Modeling Subjective Perception
1.5 Summary
2 Computational Modeling in a Nutshell
2.1 Modeling Infectious Disease Dynamics
2.1.1 Infectious Disease Models
2.1.2 Age-Specific Disease Transmissions2.2 Modeling Contact Relationships
2.2.1 Empirical Methods
2.2.2 Computational Methods
2.3 Case Study
2.3.1 2009 Hong Kong H1N1 Influenza Epidemic
2.3.2 Age-Specific Contact Matrices
2.3.3 Validation2.4 Further Remarks
2.5 Summary
3 Strategizing Vaccine Allocation
3.1 Vaccination
3.1.1 Herd Immunity
3.1.2 Vaccine Allocation Strategy
3.2 Vaccination Priorities
3.3 Age-Specific Intervention Priorities
3.3.1 Modeling Prioritized Interventions

3.3.2 Effects of Vaccination
3.3.3 Effects of Contact Reduction
3.3.4 Integrated Measures
3.4 Case Study
3.4.1 2009 Hong Kong HSI Vaccination Programme
3.4.2 Effects of Prioritized Interventions
3.5 Further Remarks
3.6 Summary
4 Explaining Individuals'' Vaccination Decisions
4.1 Costs and Benefits for Decision-Making
4.2 Game-Theoretic Modeling of Vaccination Decision-Making
4.3 Case Study
4.3.1 2009 Hong Kong HSI Vaccination Programme
4.3.2 Vaccination Coverage
4.4 Further Remarks
4.5 Summary
5 Characterizing Socially Influenced Vaccination Decisions
5.1 Social Influences on Vaccination Decision-Making
5.2 Case Study
5.2.1 Vaccination Coverage
5.3 Further Remarks
5.4 Summary
6 Understanding the Effect of Social Media
6.1 Modeling Subjective Perception
6.2 Subjective Perception in Vaccination Decision-Making
6.2.1 Dempster-Shafer Theory (DST)
6.2.2 Spread of Social Awareness
6.3 Case Study
6.3.1 Vaccination Decision-Making in an Online Social
Community
6.3.2 Interplay of Two Dynamics
6.4 Further Remarks
6.5 Summary
7 Welcome to the Era of Systems Epidemiology 7.1 Systems Thinking in Epidemiology
7.2 Systems Modeling in Principle
7.3 Systems Modeling in Practice
7.4 Toward Systems Epidemiology
8 Further Readings
References

User ratings of Computational Epidemiology



Find similar books
The book Computational Epidemiology can be found in the following categories:

Join thousands of book lovers

Sign up to our newsletter and receive discounts and inspiration for your next reading experience.