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Epidemiology E-Book

Epidemiology E-Book

Leon Gordis

(2013)

Abstract

Epidemiology, by award-winning educator and epidemiologist Leon Gordis, is a best-selling introduction to this complex science. Dr. Gordis leverages his vast experience teaching this subject in the classroom to introduce the basic principles and concepts of epidemiology in a clear, uniquely memorable way. He guides you from an explanation of the epidemiologic approach to disease and intervention, through the use of epidemiologic principles to identify the causes of disease, to a discussion of how epidemiology should be used to improve evaluation and public policy. It’s your best choice for an accessible yet rich understanding of epidemiology!

  • Gain a solid foundation of basic epidemiologic principles as well as practical applications in public health and clinical practice.
  • Visualize concepts vividly through abundant full-color figures, graphs, and charts.
  • Check your understanding of essential information with 120 multiple-choice epidemiology self-assessment questions.
  • Master the latest nuances in epidemiology thanks to a wealth of new and updated illustrations, examples, and epidemiologic data.

Table of Contents

Section Title Page Action Price
Front Cover cover
Inside Front Cover ifc1
Epidemiology, 5/e i
Copyright Page iv
For Dassy v
Preface vii
Acknowledgments xi
Table Of Contents xiv
Second half title page xvii
1 The Epidemiologic Approach to Disease and Intervention 1
Sectiion 1_text 1
1 Introduction 2
What is Epidemiology? 2
The Objectives of Epidemiology 2
Changing Patterns of Community Health Problems 3
Epidemiology and Prevention 5
Primary, Secondary, and Tertiary Prevention 5
Two Approaches to Prevention: A Different View 6
Epidemiology and Clinical Practice 6
The Epidemiologic Approach 7
From Observations to Preventive Actions 8
1. Ignáz Semmelweis and Childbed Fever 8
2. Edward Jenner and Smallpox 11
3. John Snow and Cholera 13
When the Frequency of a Disease Declines, WHO Deserves the Credit? 16
Integrating Prevention and Treatment 17
Conclusion 18
References 18
2 The Dynamics of Disease Transmission 19
Learning Objectives 19
Modes of Transmission 19
Clinical and Subclinical Disease 21
Clinical Disease 22
Nonclinical (Inapparent) Disease 22
Carrier Status 22
Endemic, Epidemic, and Pandemic 22
Disease Outbreaks 25
Immunity and Susceptibility 26
Herd Immunity 26
Incubation Period 27
Attack Rate 30
Exploring Occurrence of Disease 30
Who 31
Gonorrhea 31
Pertussis 31
When 32
Where 32
Outbreak Investigation 34
Cross-Tabulation 35
Conclusion 36
References 36
Review Questions for Chapter 2 37
3 The Occurrence of Disease: 38
Learning Objectives 38
Surveillance 38
Passive and Active Surveillance 39
Stages of Disease in an Individual and in a Population 40
Measures of Morbidity 41
Incidence Rate 41
People at Risk Who Are Observed throughout a Defined Time Period 42
When All People Are Not Observed for the Full Time Period, Person-Time, or Units of Time When Each Person Is Observed 42
Identifying New Cases in Order to Calculate Incidence 43
Attack Rate 46
Prevalence 46
Problems with Incidence and Prevalence Measurements 51
Problems with Numerators 51
Problems with Denominators 54
Problems with Hospital Data 55
Relationship between Incidence and Prevalence 55
Spot Maps 57
Conclusion 58
References 59
Review Questions for Chapter 3 59
4 The Occurrence of Disease: 61
Learning Objectives 61
Measures of Mortality 61
Mortality Rates 64
Case-Fatality 65
Proportionate Mortality 66
Years of Potential Life Lost 68
Why Look at Mortality? 70
Problems with Mortality Data 72
Comparing Mortality in Different Populations 75
Direct Age Adjustment 77
Indirect Age Adjustment (Standardized Mortality Ratios) 80
The Cohort Effect 81
Interpreting Observed Changes in Mortality 81
Other Measures of the Impact of Disease 81
Quality of Life 81
Projecting the Future Burden of Disease 82
Conclusion 84
References 85
Review Questions for Chapter 4 85
5 Assessing the Validity and Reliability of Diagnostic and Screening Tests 88
Learning Objectives 88
Biologic Variation of Human Populations 88
Validity of Screening Tests 89
Tests with Dichotomous Results (Positive or Negative) 90
Tests of Continuous Variables 92
Use of Multiple Tests 95
Sequential (Two-stage) Testing 95
Simultaneous Testing 96
Net Sensitivity Using Two Simultaneous Tests 96
Net Specificity Using Two Simultaneous Tests 97
Comparison of Simultaneous and Sequential Testing 98
Predictive Value of a Test 100
Relationship between Positive Predictive Value and Disease Prevalence 101
Relationship between Positive Predictive Value and Specificity of the Test 104
Reliability (Repeatability) of Tests 105
Intrasubject Variation 105
Intraobserver Variation 105
Interobserver Variation 106
Percent Agreement 106
Kappa Statistic 107
Rationale of the Kappa Statistic. 108
Calculation of the Kappa Statistic—An Example. 108
Relationship between Validity and Reliability 110
Conclusion 110
References 111
Appendices to Chapter 5 112
Review Questions for Chapter 5 114
6 The Natural History of Disease: 116
Learning Objectives 116
Case-Fatality 117
Person-Years 118
Five-Year Survival 119
Observed Survival 120
Rationale for the Life Table 120
Calculating a Life Table 124
The Kaplan-Meier Method 126
Assumptions Made in Using Life Tables 128
Example of Use of a Life Table 129
Apparent Effects on Prognosis of Improvements in Diagnosis 131
Median Survival Time 133
Relative Survival 133
Generalizability of Survival Data 135
Conclusion 135
References 136
Review Questions for Chapter 6 136
7 Assessing Preventive and Therapeutic Measures: 138
Learning Objectives 138
Selection of Subjects 140
Allocating Subjects to Treatment Groups Without Randomization 140
Studies without Comparison 140
Studies with Comparison 140
Historical Controls 141
Simultaneous Nonrandomized Controls 141
Allocating Subjects Using Randomization 142
What Is the Main Purpose of Randomization? 144
Stratified Randomization 145
Data Collection on Subjects 146
Treatment (Assigned and Received) 146
Outcome 146
Prognostic Profile at Entry 147
Masking (Blinding) 147
Crossover 148
Factorial Design 151
Noncompliance 152
Conclusion 154
References 154
8 Randomized Trials: 155
Learning Objectives 155
Sample Size 155
Recruitment and Retention of Study Participants 161
Ways of Expressing the Results of Randomized Trials 161
Interpreting the Results of Randomized Trials 162
Generalizability of Results beyond the Study Population 162
What Can the Results of a Randomized Trial Tell a Treating Physician about an Individual Patient? 163
Comparative Effectiveness Research (CER) 164
Four Phases in Testing New Drugs in the United States 165
Three Major Randomized Trials in the United States 166
The Hypertension Detection and Follow-up Program 166
The Multiple Risk Factor Intervention Trial 167
Study of Breast Cancer Prevention Using Tamoxifen 168
Randomized Trials for Evaluating Widely Accepted Interventions 169
A Trial of Arthroscopic Knee Surgery for Osteoarthritis 169
Effect of Group Psychosocial Support on Survival of Patients with Metastatic Breast Cancer 171
Registration of Clinical Trials 172
Ethical Considerations 172
Conclusion 173
Epilogue 173
References 174
Review Questions for Chapters 7 and 8 175
2 Using Epidemiology to Identify the Causes of Disease 177
Section 2_text 177
9 Cohort Studies 179
Learning Objectives 179
Design of a Cohort Study 179
Comparing Cohort Studies with Randomized Trials 180
Selection of Study Populations 181
Types of Cohort Studies 182
Examples of Cohort Studies 183
Example 1: The Framingham Study 183
Example 2: Incidence of Breast Cancer and Progesterone Deficiency 184
Cohort Studies for Investigating Childhood Health and Disease 185
Potential Biases in Cohort Studies 186
Selection Biases 186
Information Biases 186
When is a Cohort Study Warranted? 187
Conclusion 187
References 188
Review Questions for Chapter 9 188
10 Case-Control and Other Study Designs 189
Learning Objectives 189
Design of a Case-Control Study 190
Potential Biases in Case-Control Studies 192
Selection Bias 192
Sources of Cases 192
Using Incident or Prevalent Cases. 192
Selection of Controls 192
Sources of Controls. 194
Use of Nonhospitalized People as Controls. 194
Use of Hospitalized Patients as Controls. 194
Problems in Control Selection. 195
Information Bias 197
Problems of Recall 197
Limitations in Recall. 197
Recall Bias. 198
Other Issues in Case-Control Studies 199
Matching 199
Group Matching 199
Individual Matching 199
Use of Multiple Controls 200
Controls of the Same Type 201
Multiple Controls of Different Types 201
When is a Case-Control Study Warranted? 202
Case-Control Studies Based in a Defined Cohort 203
Nested Case-Control Studies 203
Case-Cohort Studies 205
Advantages of Embedding a Case-Control Study in a Defined Cohort 206
Other Study Designs 206
Case-Crossover Design 206
Ecologic Studies 208
Cross-Sectional Studies 210
Conclusion 212
References 212
Review Questions for Chapter 10 213
11 Estimating Risk: 215
Learning Objectives 215
Absolute Risk 215
How Do We Determine Whether a Certain Disease is Associated with a Certain Exposure? 216
Relative Risk 217
The Concept of Relative Risk 217
Interpreting the Relative Risk 217
Calculating the Relative Risk in Cohort Studies 218
The Odds Ratio (Relative Odds) 220
Defining the Odds Ratio in Cohort and in Case-Control Studies 220
The Odds Ratio in Cohort Studies 221
The Odds Ratio in a Case-Control Study 222
Interpreting the Odds Ratio 222
When Is the Odds Ratio a Good Estimate of the Relative Risk? 222
Examples of Calculating Odds Ratios in Case-Control Studies 224
Calculating the Odds Ratio in an Unmatched Case-Control Study 224
Calculating the Odds Ratio in a Matched-Pairs Case-Control Study 224
Conclusion 227
Reference 227
Review Questions for Chapter 11 227
Appendix to Chapter 11 229
(1) Formula 1: 229
(2) Formula 2: 229
(3) Formula 3: 229
12 More on Risk: 230
Learning Objectives 230
Attributable Risk 230
Attributable Risk for the Exposed Group 230
Formula 12-1 231
Formula 12-2 231
Attributable Risk for the Total Population—Population Attributable Risk (PAR) 232
Formula 12-3 233
Formula 12-4 233
An Example of an Attributable Risk Calculation for the Exposed Group 233
Formula 12-1 233
Formula 12-2 234
An Example of an Attributable Risk Calculation in the Total Population (Population Attributable Risk—PAR) 234
3 Applying Epidemiology to Evaluation and Policy 307
Section 3_text 307
17 Using Epidemiology to Evaluate Health Services 308
Learning Objectives 308
Studies of Process and Outcome 309
Studies of Process 309
Studies of Outcome 310
Efficacy, Effectiveness, and Efficiency 310
Efficacy 310
Effectiveness 310
Efficiency 310
Measures of Outcome 310
Comparing Epidemiologic Studies of Disease Etiology and Epidemiologic Research Evaluating Effectiveness of Health Services 311
Evaluation Using Group Data 312
Outcomes Research 312
Potential Biases in Evaluating Health Services Using Group Data 314
Two Indices Used in Ecologic Studies of Health Services 315
Evaluation Using Individual Data 315
Randomized Designs 316
Nonrandomized Designs 317
Before–After Design (Historical Controls) 317
Simultaneous Nonrandomized Design (Program–No Program) 318
Comparison of Utilizers and Non-utilizers 319
Comparison of Eligible and Non-eligible Populations 319
Combination Designs 319
Case-Control Studies 322
Conclusion 323
References 324
Review Questions for Chapter 17 324
18 The Epidemiologic Approach to Evaluating Screening Programs 326
Learning Objectives 326
The Natural History of Disease 327
The Pattern of Disease Progression 328
Methodologic Issues 332
Selection Biases 332
Referral Bias (Volunteer Bias) 332
Length-Biased Sampling (Prognostic Selection) 332
Lead Time Bias 334
Lead Time and Five-Year Survival 334
Overdiagnosis Bias 337
Study Designs for Evaluating Screening: Nonrandomized and Randomized Studies 337
Nonrandomized Studies 337
Randomized Studies 338
Further Examples of Studies Evaluating Screening 341
Mammography for Women 40 to 49 Years of Age 341
Screening for Cervical Cancer 343
Screening for Neuroblastoma 344
Problems in Assessing the Sensitivity and Specificity of Screening Tests 345
Interpreting Study Results That Show No Benefit of Screening 346
Cost-Benefit Analysis of Screening 347
Conclusion 347
References 348
Review Questions for Chapter 18 349
19 Epidemiology and Public Policy 351
Learning Objectives 351
Epidemiology and Prevention 351
Population approaches Versus High-Risk Approaches to Prevention 353
Epidemiology and Clinical Medicine: Hormone Replacement Therapy in Postmenopausal Women 356
Risk Assessment 357
Assessment of Exposure 359
Meta-Analysis 360
Publication Bias 361
Epidemiology in the Courts 362
Sources and Impact of Uncertainty 362
Policy Issues Regarding Risk: What Should the Objectives Be? 364
Conclusion 365
References 365
20 Ethical and Professional Issues in Epidemiology 367
Learning Objectives 367
Ethical Issues in Epidemiology 368
Investigators’ Obligations to Study Subjects 369
Protecting Privacy and Confidentiality 370
Access to Data 372
Race and Ethnicity in Epidemiologic Studies 372
Conflict of Interest 374
Interpreting Findings 375
Conclusion 377
References 377
Answers to Review Questions 379
Chapter 1 379
Chapter 2 379
Chapter 3 379
Chapter 4 379
Chapter 5 379
Chapter 6 379
Chapters 7 and 8 379
Chapter 9 379
Chapter 10 379
Chapter 11 380
Chapter 12 380
Chapter 13 380
Chapter 14 380
Chapter 15 380
Chapter 16 380
Chapter 17 380
Chapter 18 380
Chapters 19 and 20 380
Index 381
A 381
B 381
C 382
D 383
E 384
F 385
G 385
H 385
I 386
J 386
K 386
L 386
M 386
N 387
O 388
P 388
Q 389
R 389
S 390
T 391
U 392
V 392
W 392
Y 392