Each chapter begins with Learning Objectives and ends with Discussion Questions and References Cited.

PART I: BASICS

Chapter 1, Why learn methods in infectious disease epidemiology?
Why is infectious disease epidemiology different from other applications of epidemiology?
How to use this book

Chapter 2, Why study methods?
Why methods matter
Measuring outcomes

Chapter 3, Descriptive infectious disease epidemiology
Why methods matter
Describing data
Specific methods
Taking public health action

Chapter 4, Outbreak investigations
Outbreak investigation background—descriptive epidemiology with a specific purpose
Steps in an outbreak investigation
Epidemic curves and data collection

Chapter 5, Rates and measures
Standardization for infectious disease epidemiology
Uses for absolute counts, proportions, rates, and ratios
Incidence measures
Prevalence measures
Other infectious disease measures

Chapter 6, Laying the foundation: how to conduct a study
Research questions and hypotheses—structuring your study

Chapter 7, Experimental designs as a foundation for observational studies
Experimental designs in broad strokes
The drug approval process in the United States
How to conduct a randomized controlled trial
Strengths and limitations

Chapter 8, From the experimental to the cohort study
From the experimental to the cohort study
Cohort studies in infectious disease research
How to conduct a cohort study
Strengths and limitations

Chapter 9, Case-control and cross-sectional studies
From the cohort study to the case-control study, and beyond
How to conduct a case-control study
Strengths and limitations
Cross-sectional studies
How to conduct a cross-sectional study
Strengths and limitations

Chapter 10, Interpretation of epidemiologic data
Meet the 2x2 table
The relative risk.
The odds ratio
The prevalence ratio
The prevalence odds ratio

Chapter 11, Threats to internal and external validity of concern in the study of infectious disease epidemiology
From ideal study structure to practical realities: real issues in study implementation
Essential information biases
Essential selection biases
Means of reducing or eliminating information bias:
Missing information
Misclassification

PART II: SPECIAL APPLICATIONS

Chapter 12, Surveillance of infectious diseases
Methods in practice
Introduction to infectious disease surveillance
What makes a good surveillance system?
Benefits of surveillance activities.
Bias in surveillance.
Changing case definitions

Chapter 13, Program evaluation in the infectious disease setting
Differences between research and evaluation
Similarities of research and evaluation
Types of evaluation
Developing evaluation studies
Evaluation Frameworks
Thinking through evaluation in the infectious disease setting

Appendix A: Resources

Index