Epidemiology Kept Simple: An Introduction to Traditional and Modern Epidemiology / Edition 3

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Epidemiology Kept Simple introduces the epidemiological principles and methods that are increasingly important in the practice of medicine and public health. With minimum use of technical language it fully explains terminology, concepts, and techniques associated with traditional and modern epidemiology. Topics include disease causality, epidemiologic measures, descriptive epidemiology, study design, clinical and primary prevention trials, observational cohort studies, case-control studies, and the consideration of random and systematic error in studies of causal factors. Chapters on the infectious disease process, outbreak investigation, and screening for disease are also included. The latter chapters introduce more advanced biostatistical and epidemiologic techniques, such as survival analysis, Mantel-Haenszel techniques, and tests for interaction.

This third edition addresses all the requirements of the American Schools of Public Health (ASPH) Epidemiological Competencies, and provides enhanced clarity and readability on this difficult subject. Updated with new practical exercises, case studies and real world examples, this title helps you develop the necessary tools to interpret epidemiological data and prepare for board exams, and now also includes review questions at the end of each chapter.

Epidemiology Kept Simple continues to provide an introductory guide to the use of epidemiological methods for graduate and undergraduate students studying public health, health education and nursing, and for all practicing health professionals seeking professional development.

The book contains black-and-white illustrations.

With the increasing availability of genetic information about human populations, the field of epidemiology has become more relevant than ever to the health sciences. Epidemiology is taught widely, not only to medical and graduate students, but as a part of courses in many different health-related fields where students will be introduced to the discipline for the first time. This book will provide a clear, concise introductory-level text that will be accessible to beginning students, and that will also be useful as a primer to qualified professionals in health care fields that wish to understand the newest concepts in the field.

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Editorial Reviews

From the Publisher

"This edition does a good job of updating the previous editions, which have not covered the ASPH epidemiology competencies." (Doody’s, 21 February 2014)

Doody's Review Service
Reviewer: Angela Jean Schneider, BS, MS (University of Iowa College of Public Health)
Description: This introductory book describes the overall components of epidemiology. This update to the 2003 edition includes the new competencies for epidemiology from the American Schools of Public Health (ASPH), which are key to the success of new and upcoming epidemiologists.
Purpose: In addition to properly introducing the new epidemiology competencies from ASPH, the book also seeks to update the previous edition with more examples, review questions at the end of chapters, and stronger sections dealing with different study designs.
Audience: Students appear to be the intended audience, and the book does a good job targeting them with its use of examples, which are wonderful aids for mastering the subject. The author has a strong academic background in epidemiology as well as a strong history of publishing works on epidemiology and statistics.
Features: The book covers a wide range of topics, from the basic history of epidemiology to different types of studies and ways to evaluate those studies. The most innovative and influential methods the book uses are the case studies and real life examples, which provide readers with a direct application of concepts. Chapters directly addressing ASPH competencies would have benefitted from a reiteration of the ASPH competency in the introductory sentences. For example, chapter 3, which addresses epidemiological measures, could have included a sentence stating that the chapter will explore measures used in epidemiology and how to calculate these measures.
Assessment: This book introduces epidemiology in a concise, organized fashion and provides direct applications of the studies. This edition does a good job of updating the previous editions, which have not covered the ASPH epidemiology competencies.
An introductory text for non-specialists, this volume covers such topics as elements of infectious and chronic disease epidemiology, identification of disease and measures of its frequency, stratification and adjustment, measures of association and potential impact, analytical study design, inaccuracy in epidemiological studies, clusters and outbreaks, and computers and epidemiology. Annotation c. by Book News, Inc., Portland, Or.

3 Stars from Doody
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Product Details

  • ISBN-13: 9781444336085
  • Publisher: Wiley
  • Publication date: 4/22/2013
  • Edition description: New Edition
  • Edition number: 3
  • Pages: 478
  • Sales rank: 882,432
  • Product dimensions: 6.80 (w) x 9.50 (h) x 0.70 (d)

Meet the Author

B. Burt (“Bud”) Gerstman has a Ph.D. in Epidemiology and Comparative Pathology from the University of California, Davis, a MPH in Epidemiology from the University of California at Berkeley, and a Doctor of Veterinary Medicine degree from Cornell University. He teaches courses in epidemiology, biostatistics, and public health statistics at San Jose State University in Northern California. Before coming to SJSU in 1990, he was a Fellow of the National Institutes of Health - U.S. Public Health Service Epidemiology Training Program and a member of the faculty at the Graduate School at National Institutes of Health. He has won numerous awards and is widely published. His most recent project was the development and publication of an epidemiology textbook and he is currently at work on a text on data analysis.

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Table of Contents

Preface to the Third Edition, xi

Preface to the First Edition, xiii

Acknowledgments, xv

1 Epidemiology Past and Present, 1

1.1 Epidemiology and its uses, 2

1.2 Evolving patterns of morbidity and mortality, 5

1.3 Selected historical figures and events, 8

1.4 Chapter summary, 30

Review questions, 31

References, 32

2 Causal Concepts, 36

2.1 Natural history of disease, 36

2.2 Variability in the expression of disease, 40

2.3 Causal models, 41

2.4 Causal inference, 48

Exercises, 58

Review questions, 61

References, 63

3 Epidemiologic Measures, 66

3.1 Measures of disease frequency, 67

3.2 Measures of association, 74

3.3 Measures of potential impact, 79

3.4 Rate adjustment, 82

Exercises, 90

Review questions, 98

References, 99

Addendum: additional mathematical details, 101

4 Descriptive Epidemiology, 104

4.1 Introduction, 104

4.2 Epidemiologic variables, 108

4.3 Ecological correlations, 116

Exercises, 121

Review questions, 123

References, 124

5 Introduction to Epidemiologic Study Design, 126

5.1 Etiologic research, 126

5.2 Ethical conduct of studies involving human subjects, 129

5.3 Selected study design elements, 130

5.4 Common types of epidemiologic studies, 137

Exercises, 138

Review questions, 140

References, 141

6 Experimental Studies, 142

6.1 Introduction, 142

6.2 Historical perspective, 144

6.3 General concepts, 146

6.4 Data analysis, 152

Exercises, 156

Review questions, 157

References, 157

7 Observational Cohort Studies, 159

7.1 Introduction, 159

7.2 Historical perspective, 161

7.3 Assembling and following a cohort, 163

7.4 Prospective, retrospective, and ambidirectional cohorts, 164

7.5 Addressing the potential for confounding, 165

7.6 Data analysis, 166

7.7 Historically important study: Wade Hampton Frost’s birth cohorts, 170

Exercises, 174

Review questions, 177

References, 177

8 Case–Control Studies, 180

8.1 Introduction, 180

8.2 Identifying cases and controls, 182

8.3 Obtaining information on exposure, 185

8.4 Data analysis, 186

8.5 Statistical justifications of case–control odds ratio as relative risks, 193

Exercises, 194

Review questions, 198

References, 199

9 Error in Epidemiologic Research, 201

9.1 Introduction, 201

9.2 Random error (imprecision), 203

9.3 Systematic error (bias), 209

Exercises, 217

Review questions, 219

References, 220

10 Screening for Disease, 222

10.1 Introduction, 223

10.2 Reliability (agreement), 224

10.3 Validity, 228

Summary, 238

Exercises, 239

Review questions, 243

References, 243

10.4 Chapter addendum (case study), 244

Further reading—screening for HIV, 248

Further reading—general concepts of screening, 248

Answers to case study: screening for antibodies to the human immunodeficiency virus, 249

11 The Infectious Disease Process, 255

11.1 The infectious disease process, 255

11.2 Herd immunity, 265

Exercises, 267

Review questions, 268

References, 270

12 Outbreak Investigation, 271

12.1 Background, 272

12.2 CDC prescribed investigatory steps, 273

Review questions, 282

References, 283

References—a drug–disease outbreak, 286

13 Confidence Intervals and p-Values, 302

13.1 Introduction, 303

13.2 Confidence intervals, 304

13.3 p-Values, 312

13.4 Minimum Bayes factors, 319

References, 322

14 Mantel–Haenszel Methods, 323

14.1 Ways to prevent confounding, 323

14.2 Simpson’s paradox, 325

14.3 Mantel–Haenszel methods for risk ratios, 325

14.4 Mantel–Haenszel methods for other measures of association, 329

Exercise, 335

References, 335

15 Statistical Interaction: Effect Measure Modification, 337

15.1 Two types of interaction, 337

15.2 Chi-square test for statistical, 340

15.3 Strategy for stratified analysis, 342

Exercises, 344

References, 345

16 Case Definitions and Disease Classification, 347

16.1 Case definitions, 347

16.2 International classification of disease, 351

16.3 Artifactual fluctuations in reported rates, 353

16.4 Summary, 354

References, 355

17 Survival Analysis, 356

17.1 Introduction, 356

17.2 Stratifying rates by follow-up time, 359

17.3 Actuarial method of survival analysis, 360

17.4 Kaplan–Meier method of survival analysis, 362

17.5 Comparing the survival experience of two groups, 364

Exercises, 369

References, 371

18 Current Life Tables, 373

18.1 Introduction, 373

18.2 Complete life table, 374

18.3 Abridged life table, 380

Exercises, 383

References, 384

19 Random Distribution of Cases in Time and Space, 385

19.1 Introduction, 385

19.2 The Poisson distribution, 386

19.3 Goodness of fit of the Poisson distribution, 390

19.4 Summary, 394

Exercises, 395

References, 396

Answers to Exercises and Review Questions, 398

Appendix 1: 95% Confidence Limits for Poisson Counts, 434

Appendix 2: Tail Areas in the Standard Normal (Z) Distribution: Double These Areas for Two-Sided p-Values, 436

Appendix 3: Right-Tail Areas in Chi-Square Distributions, 439

Appendix 4: Case Study—Cigarette Smoking and Lung Cancer, 441

Appendix 5: Case Study—Tampons and Toxic Shock Syndrome, 448

Index, 455

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