Molecular Tools and Infectious Disease Epidemiology

Molecular Tools and Infectious Disease Epidemiology, 1st Edition

Molecular Tools and Infectious Disease Epidemiology, 1st Edition,Betsy Foxman,ISBN9780123741332


Academic Press




276 X 211

Print Book + eBook

USD 95.94
USD 159.90

Buy both together and save 40%

Print Book


In Stock

Estimated Delivery Time
USD 79.95

eBook Overview

EPUB format

VST (VitalSource Bookshelf) format

USD 79.95
Add to Cart

Key Features

*Presents the key points of consideration when integrating molecular biology and epidemiology

*Discusses how using molecular tools in epidemiologic research affects program design and conduct

*Considers the ethical concerns that arise in molecular epidemiologic studies

*Provides a context for understanding and interpreting scientific literature as a foundation for subsequent practical experience in the laboratory and in the field



The application of modern molecular genetic and biologic techniques to infectious disease epidemiology dramatically improves measurement of disease and putative risk factors, increasing our ability to detect and track outbreaks, identify risk factors and detect new infectious agents. However, integration of these techniques into epidemiologic studies also poses new challenges in the design, conduct, and analysis. We examine these opportunities and methodologic challenges giving specific examples. The book will be written for the reader with limited understanding of genetics, biology and epidemiology.


Graduate and advanced undergraduate students studying infectious disease epidemiology, molecular epidemiology, the epidemiologist wishing to integrate molecular techniques into his or her studies

Betsy Foxman

Affiliations and Expertise

Professor of Epidemiology, University of Michigan School of Public Health; Director, Center for Molecular and Clinical Epidemiology of Infectious Diseases, Ann Arbor, MI, USA

Molecular Tools and Infectious Disease Epidemiology, 1st Edition



Chapter 1. Introduction and Historical Perspective

1.1. Introduction to Molecular Epidemiology

1.2. Historical Perspectives

1.3. Landmark Molecular Epidemiologic Studies

1.4. What Makes Modern Molecular Tools Different?

1.5. How Modern Molecular Epidemiology Differs From Traditional Epidemiologic Studies Using Laboratory Methods

1.6. Overview of this Textbook

Chapter 2. How Molecular Tools Enhance Epidemiologic Studies

2.1. What is Misclassification Bias?

2.2. How Reducing Misclassification via Molecular Tools Enhances Epidemiologic Studies

2.3. Ways Molecular Tools Advance the Science of Epidemiology

Chapter 3. Applications of Molecular Tools to Infectious Disease Epidemiology

3.1. Outbreak Investigation

3.2. Surveillance

3.3. Transmission System

3.4. Increase Understanding of the Epidemiology of Infectious Diseases

3.5. Identify Previously Unknown or Uncultivable Infectious Microbes

3.6. Provide Insight into Pathogen Gene Function and Host–Pathogen Interaction

Chapter 4. A Primer of Epidemiologic Study Designs

4.1. Experiment

4.2. Cohort Study

4.3. Cross-Sectional Study

4.4. Case–Control Study

4.5. Ecologic Study

4.6. Biases

Chapter 5. A Primer of Molecular Biology

5.1. Central Dogma and Some Caveats

5.2. Material Tested Using Molecular Tools

5.3. Gene Variants, SNPS, Insertions, Deletions, and Frameshift Mutations

5.4. Extrachromosomal Elements and Transposons

5.5. Recombination

5.6. Horizontal Gene Transfer

5.7. An Introduction to Common Molecular Methods

5.8. Sorting by Size, Charge, and Other Characteristics

5.9. Polymerase Chain Reaction

5.10. Sequencing

5.11. Hybridization/antigen–Antibody Reactions

Chapter 6. Molecular Tools

6.1. Molecular Tools and Epidemiology

6.2. The “OMICS”

6.3. Genomics

6.4. Transcriptomics

6.5. Proteomics

6.6. Metabolomics

6.7. Epigenomics

6.8. Interactomics

6.9. Metagenomics and Metatranscriptomics

6.10. Selecting the Correct Technique for the Research Question

Chapter 7. Omics Analyses in Molecular Epidemiologic Studies

7.1. Bioinformatics, Genetic Sequences, and Molecular Epidemiology

7.2. Assemble Gene Sequences

7.3. Compare and Analyze Genetic Sequence

7.4. Gene Mapping

7.5. Bioinformatics, Microarrays, and Application to Molecular Epidemiology

7.6. Determining Similarity and Relatedness

7.7. Analyses of Microbiome Data

7.8. Documenting Genetic, Molecular, and Epidemiologic Data Sets

Chapter 8. Determining the Reliability and Validity and Interpretation of a Measure in the Study Populations

8.1. Identify All Data Handling and Processing Steps, from Specimen Collection to Recording Data in a Database

8.2. Assess the Potential for Error at Each Step, and the Error Tolerance

8.3. Determine the Reliability of the Selected Measure Across a Range of Values

8.4. Determine the Validity of the Selected Measure

8.5. Determine the Intralaboratory and Interlaboratory Reliability

8.6. Determine the Appropriate Interpretation of the Measurement

8.7. Using Stored Materials

Chapter 9. Designing and Implementing a Molecular Epidemiologic Study

9.1. Operationalizing a Research Question

9.2. Study Design Trade-Offs Associated with Including Molecular Tools

9.3. Constraints on the Study Protocol Imposed by Molecular Testing

9.4. Choosing Measures of Exposure and Outcome

9.5. Using a Commercial Kit

9.6. Molecular Fingerprinting

Chapter 10. Study Conduct

10.1. Documentation of All Protocols and Operating Procedures

10.2. Regular Meetings with Study Personnel

10.3. Training and Retraining of Study Personnel

10.4. Quality Control and Quality Assurance

10.5. Specimen Handling and Storage

10.6. Interim Data Analysis

10.7. Types of Interim Data Analysis

Chapter 11. Think About Data Analysis When Planning a Study

11.1. Data Analysis and Study Design

11.2. Estimating the Required Sample Size and (Conversely) Determining if the Conducted Study was Sufficiently Large

11.3. Data Structure

11.4. Data Cleaning

11.5. General Analytic Strategies

11.6. Molecular Level

11.7. Interactions of Microbes and Host

11.8. Human–Human Interactions

11.9. Interactions of Human Populations

Chapter 12. Human and Animal Subject Protection, Biorepositories, Biosafety Considerations, and Professional Ethics

12.1. What is Research?

12.2. Why Researchers are Obligated to Behave Ethically

12.3. Protection of Human Subjects

12.4. Studies Using Previously Collected Data

12.5. Ethical Issues Associated With Biorepositories

12.6. Public Data Access

12.7. Shipping of Materials Between Institutions

12.8. Protection of Animal Subjects

12.9. Biological Safety

12.10. Professional Ethics

Chapter 13. Future Directions

13.1. Methodological Development

13.2. Surveillance

13.3. Transmission

13.4. Interactions

13.5. Closing Thoughts


Free Shipping
Shop with Confidence

Free Shipping around the world
▪ Broad range of products
▪ 30 days return policy

Contact Us