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Molecular Tools and Infectious Disease Epidemiology
- 1st Edition - December 28, 2010
- Author: Betsy Foxman
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 0 2 3 1 - 2
- Hardback ISBN:9 7 8 - 0 - 1 2 - 3 7 4 1 3 3 - 2
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 9 2 0 8 4 - 9
Molecular Tools and Infectious Disease Epidemiology examines the opportunities and methodologic challenges in the application of modern molecular genetic and biologic technique… Read more
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Request a sales quoteMolecular Tools and Infectious Disease Epidemiology examines the opportunities and methodologic challenges in the application of modern molecular genetic and biologic techniques to infectious disease epidemiology.
The application of these techniques dramatically improves the 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. This book 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; and provides a context for understanding and interpreting scientific literature as a foundation for subsequent practical experience in the laboratory and in the field.
The book is recommended for graduate and advanced undergraduate students studying infectious disease epidemiology and molecular epidemiology; and for the epidemiologist wishing to integrate molecular techniques into his or her studies.
- 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
Graduate and advanced undergraduate students studying infectious disease epidemiology, molecular epidemiology, the epidemiologist wishing to integrate molecular techniques into his or her studies
Preface
Acknowledgments
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
Index
- No. of pages: 240
- Language: English
- Edition: 1
- Published: December 28, 2010
- Imprint: Academic Press
- Paperback ISBN: 9780128102312
- Hardback ISBN: 9780123741332
- eBook ISBN: 9780080920849
BF
Betsy Foxman
Dr. Betsy Foxman is the Hunein F. and Hilda Maassab Professor of Epidemiology, Director of the Center for Molecular and Clinical Epidemiology of Infectious Diseases (MAC-EPID), Director of the Integrated Training in Microbial Systems (ITiMS) program, and Director of the Certificate Program in Healthcare Associated Infection Prevention and Control (CHIP) at the University of Michigan. Foxman received her Bachelor of Science in Conservation of Natural Resources from the University of California, Berkeley, and MSPH and PhD in Epidemiology from the UCLA School of Public Health. Foxman studies the transmission, pathogenesis, ecology, and evolution of infectious agents with an emphasis on transmission. Current research projects include studies of the interactions between viral infections and microbiota, vaginal microbiota and pre-term birth, the oral microbiota and dental health, and epidemiology of antibiotic resistant bacteria.
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.Read Molecular Tools and Infectious Disease Epidemiology on ScienceDirect