Epidemiology flashcards that match how you actually study
Whether you are prepping for exams or building long-term knowledge, Epidemiology rewards retrieval practice—not rereading. NoteFren converts your handwritten notes, slides, and PDF text into clean Q&A flashcards so you can review Epidemiology with spaced repetition in minutes, not hours.
Studying Epidemiology with flashcards
Epidemiology studies the distribution and determinants of disease in populations: study designs, measures of association, bias and confounding, screening test performance, and outbreak investigation. The recurring difficulty is quantitative and definitional — students mix up incidence and prevalence, confuse relative risk with odds ratio, and misremember which study design allows which measure. Sensitivity, specificity, and predictive values are especially slippery because they respond differently to disease prevalence.
Much of epidemiology is formula-and-definition recall layered on 2x2 table reasoning, which is exactly what active recall and spaced repetition reinforce. Build cards that state a measure and demand its formula and interpretation, and cloze cards over the 2x2 table so you can regenerate sensitivity, specificity, PPV, and NPV from cell labels. Use paired cards to keep near-identical concepts distinct ("cohort gives which measure? case-control gives which?"). Because the confusions are systematic, write cards that directly contrast the traps rather than presenting each term in isolation, and review them frequently so the distinctions stay sharp before an exam.
Key topics to turn into flashcards
Incidence vs. prevalence
Card the definitions and the relationship (prevalence ≈ incidence × duration), noting what raises prevalence without changing incidence, like better survival.
Study design hierarchy
Match cohort, case-control, cross-sectional, and RCT to their direction, the measure each yields, and their main strengths and biases.
Measures of association
Contrast relative risk, odds ratio, and attributable risk with their formulas and when the OR approximates the RR (rare disease).
Screening test statistics
Cloze the 2x2 table to derive sensitivity, specificity, PPV, and NPV, and card how prevalence shifts predictive values but not sensitivity/specificity.
Bias and confounding
Card selection, recall, and lead-time bias against how each distorts results, and the methods (stratification, matching, multivariable adjustment) that control confounding.
Outbreak investigation
Drill the ordered steps from case definition and epidemic curve to hypothesis testing and control measures.
Study tips
- Tip 1
Chunk by topic
Split Epidemiology into small decks—one per lecture, chapter, or concept—so reviews stay fast and focused.
- Tip 2
Answer before you flip
Say the answer out loud or jot a keyword before revealing the card. Active recall beats passive recognition every time.
- Tip 3
Schedule reviews
Let spaced repetition surface Epidemiology cards right before you would forget them. Cramming alone rarely sticks.
- Tip 4
Use mistakes as data
Tag or star misses and revisit them first next session—your weak spots are where the most points hide.
Common mistakes to avoid
Treating RR and OR as interchangeable
They only converge for rare diseases; card the design each comes from and the rare-disease assumption so you don't quote an OR as a risk.
Assuming PPV is a fixed property
PPV depends on prevalence; card examples at high and low prevalence to see why a good test performs poorly when disease is rare.
Confusing incidence and prevalence in prose questions
Watch the tense and time frame; new cases over a period is incidence, existing cases at a point is prevalence — card the wording cues.
Sample Epidemiology flashcards
A few cards students actually use for Epidemiology. Save a deck in NoteFren to study them with spaced repetition.
Tap a card to check yourself.
1
What is the difference between incidence and prevalence?
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Incidence counts new cases over a period; prevalence counts all existing cases at a point in time.
2
In a steady state, how are prevalence and incidence related?
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Prevalence ≈ incidence × average duration of disease.
3
Which study design can measure relative risk directly?
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A cohort study, which follows exposed and unexposed groups for new cases.
4
Which measure of association does a case-control study report?
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The odds ratio, because it samples people by disease status.
5
A test is positive in 90 of 100 people who have the disease. What is its sensitivity?
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90%: true positives ÷ everyone with the disease.
6
What happens to positive predictive value when prevalence rises?
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PPV rises and NPV falls; sensitivity and specificity do not change.
7
What is lead-time bias?
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Earlier detection by screening makes survival look longer without delaying death.
8
What is a confounder?
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A factor linked to both exposure and outcome that distorts their apparent relationship.
Frequently asked questions
Yes. NoteFren turns your notes and photos into smart flashcards with spaced repetition and active recall—ideal for mastering Epidemiology without retyping everything.
NoteFren is an iOS app built for focused study sessions. Check the App Store listing for the latest connectivity and sync details.
Absolutely. Every card can be edited, merged, or deleted so your deck matches exactly what you need to learn.
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