BPH 3010 Concepts in Epidemiology Study Guide Winter 2021 PDF

**BPH 3010 Concepts in Epidemiology** **Study Guide** **Winter 2021** 1\. Define "epidemiology."\ 2. What the difference between morbidity and mortality?\ 3. What is the difference between description and analysis in epidemiology?\ 4. Define the term "descriptive epidemiology".\ 5. Be able to cre...

**BPH 3010 Concepts in Epidemiology** **Study Guide** **Winter 2021** 1\. Define "epidemiology."\ 2. What the difference between morbidity and mortality?\ 3. What is the difference between description and analysis in epidemiology?\ 4. Define the term "descriptive epidemiology".\ 5. Be able to create graphs and tables from a data set.\ 6. Know how to appropriately label graphs and tables.\ 7. Make observations and/or interpret data presented as figures, graphs, and tables.\ 8. Calculate and make inferences from measures of central tendency and measures of dispersion.\ 9. Explain how measures of association are used in epidemiology.\ 10. Define three mathematical terms applied to epidemiology and provide examples of each.\ 11. Compare incidence and prevalence and explain how they are interrelated.\ 12. Distinguish between a fertility rate and a birth rate.\ 13. State the limitations of crude rates and define alternative measures.\ 14. Define the term "big data" and give one example of its epidemiologic applications.\ 15. State three factors that affect the quality of epidemiologic data.\ 16. Differentiate between vital statistics data and reportable disease statistics.\ 17. Give two examples of uses of descriptive epidemiology.\ 18. Compare three types of descriptive epidemiologic studies.\ 19. Describe the process of epidemiologic inference in the context of descriptive epidemiology.\ 20. Give two examples each of person, place, and time variables; describe how they relate to the distribution of health outcomes.\ 21. Compare and contrast noncausal and causal associations.\ 22. Distinguish between deterministic and stochastic models of causality.\ 23. State at least three of the criteria of causality, giving examples of each one.\ 1. Define "epidemiology."\ 2. Have a general knowledge of the history of epidemiology (disciplines)\ 3. Define the "epidemiologic transition."\ 4. Define "exposure."\ 5. Understand the Koch Postulates.\ 6. Understand measures of central tendency.\ 7. Define "confidence interval."\ 8. Understand sampling methods.\ 9. Understand types of associations.\ 10. Understand types of curves.\ 11. Understand and be able to calculate incidence and prevalence.\ 12. Define "crude rates."\ 13. Understand case fatality rates.\ 14. Understand and be able to calculate cause-specific rates.\ 15. Understand differences between surveillance systems, registries, archives, etc.\ 16. Understand types of data clustering.\ 17. Understand association and causality.\ 18. Understand Hill\'s criteria of causality.\ 19. Understand causal association (contingency tables).\ 20. Understand and be able to calculate incidence and prevalence.\ 21. Understand and be able to calculate age-specific mortality. 22. Be able to draw and interpret bar graphs.