TEST BANK for Gordis Epidemiology 7th Edition By David Celentano, Moyses Szklo, Youssef Farag
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TEST BANK for Gordis Epidemiology 7th Edition By David Celentano, Moyses Szklo, Youssef Farag

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The TEST BANK for  Gordis Epidemiology (7th Edition) by David D. Celentano, Moyses Szklo, and Youssef Farag introduces basic epidemiologic principles and their practical applications in public health and clinical practice. The textbook is structured into three core sections containing 20 distinct chapters that guide students from fundamental observation to complex causal analysis and public policy. [1, 2, 3]
The detailed table of contents and topics covered include:
Section I: The Epidemiologic Approach to Disease and Intervention
This section establishes how diseases manifest and are monitored in a population, transitioning from basic observation to diagnostic tools. [1, 2]
  • Chapter 1: Introduction — Core concepts, history, and the overall scope of modern epidemiology. [1, 2]
  • Chapter 2: The Dynamics of Disease Transmission — How infectious and non-infectious agents spread, including herd immunity and modern examples like the COVID-19 pandemic. [1, 2]
  • Chapter 3: The Occurrence of Disease: I. Disease Surveillance and Measures of Morbidity — Tracking public health data, calculating incidence rates, and measuring prevalence. [1, 2]
  • Chapter 4: The Occurrence of Disease: II. Mortality and Other Measures of Disease Impact — Death rates, case-fatality rates, and calculating years of potential life lost (YPLL). [1, 2]
  • Chapter 5: Assessing the Validity and Reliability of Diagnostic and Screening Tests — Sensitivity, specificity, predictive values, and test consistency. [1, 2]
  • Chapter 6: The Natural History of Disease: Ways of Expressing Prognosis — Tracking how a disease progresses, life tables, and calculating patient survivorship. [1, 2]
Section II: Using Epidemiology to Identify the Cause of Disease
This section focuses on data collection, study design, and statistical logic used to establish links between environmental exposures or genetics and health outcomes. [1, 2]
  • Chapter 7: Observational Studies — Developing hypotheses through case reports, case series, ecological designs, and cross-sectional studies.
  • Chapter 8: Cohort Studies — Designing prospective and retrospective cohort investigations.
  • Chapter 9: Case-Control Studies and Other Study Designs — Evaluating retrospective designs and establishing matching criteria.
  • Chapter 10: Assessing Preventive and Therapeutic Interventions: Randomized Trials — Experimental methodology and assigning exposures or treatments randomly.
  • Chapter 11: Randomized Trials: Some Further Issues — Discussing sample size, statistical power, generalizability, efficacy versus effectiveness, and FDA drug trial phases.
  • Chapter 12: Estimating Risk: Is There an Association? — Calculating absolute risk, relative risk, and odds ratios across different study formats.
  • Chapter 13: More on Risk: Estimating the Potential for Prevention — Utilizing attributable risk and population attributable risk to design preventive health programs.
  • Chapter 14: From Association to Causation: Deriving Inferences from Epidemiologic Studies — Moving from correlation to causal relationships using frameworks like the Bradford Hill criteria.
  • Chapter 15: More on Causal Inferences: Bias, Confounding, and Interaction — Identifying systemic errors, managing confounding variables, and evaluating effect modification.
  • Chapter 16: Identifying the Roles of Genetic and Environmental Factors in Disease Causation — Genetic epidemiology, twin studies, and interaction between genes and the environment. [1, 2, 3, 4, 5]
Section III: Applying Epidemiology to Evaluation and Policy
The final section covers how data-driven insights influence the broader healthcare delivery ecosystem, screening guidelines, and professional regulations. [1, 2]
  • Chapter 17: Using Epidemiology to Evaluate Health Services — Assessing healthcare delivery quality, accessibility, and cost-effectiveness.
  • Chapter 18: The Epidemiologic Approach to Evaluating Screening Programs — Gauging the actual population-level impact and drawbacks of community-wide screening initiatives.
  • Chapter 19: Epidemiology and Public Policy — Translating research data into regulations, risk communication, and health policy decisions.
  • Chapter 20: Ethical and Professional Issues in Epidemiology — Privacy protections, data sharing, conflict of interest, and the professional responsibilities of an epidemiologist. [1, 2]

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Applying Epidemiology to Evaluation and Policy Assessing Preventive and Therapeutic Interventions: Randomized Trials Assessing the Validity and Reliability of Diagnostic and Screening Tests Ethical and Professional Issues in Epidemiology From Association to Causation: Deriving Inferences from Epidemiologic Studies Identifying the Roles of Genetic and Environmental Factors in Disease Causation Moyses Szklo Test Bank for The Dynamics of Disease Transmission The Epidemiologic Approach to Disease and Intervention The Epidemiologic Approach to Evaluating Screening Programs The Natural History of Disease: Ways of Expressing Prognosis The Occurrence of Disease: I. Disease Surveillance and Measures of Morbidity The Occurrence of Disease: II. Mortality and Other Measures of Disease Impact Using Epidemiology to Evaluate Health Services Using Epidemiology to Identify the Cause of Disease Youssef Farag • ISBN-10: 0323877753 • ISBN-13: 9780323877756 • ISBN-13: 9780323877763 • ISBN: 9780323877794
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