MFPHMI Part I study plan

Define and distinguish measures of disease frequency (incidence, prevalence, attack rate) and calculate each from a 2x2 table

Compute and interpret crude, stratum-specific, and standardized rates

Differentiate study designs (cohort, case-control, cross-sectional, RCT) by selection, timing, and measure of association

Build a formula sheet linking each design to its correct effect measure

Calculate and interpret sensitivity, specificity, predictive values, and likelihood ratios

Construct and explain a ROC curve and its relationship to test thresholds

Distinguish bias types (selection, information, confounding) and identify them in a written scenario

Apply causal criteria (Bradford Hill) to judge whether an association is likely causal

Select the appropriate hypothesis test for a given design and outcome type

Interpret p-values, confidence intervals, and type I/II error in plain language

Compute sample size and power concepts for means and proportions

Read and critique an output table from a regression model

Interpret odds ratios and risk ratios including when OR approximates RR

Explain interaction and effect modification versus confounding

Perform a stratified analysis and summarize adjusted results

Synthesize epidemiologic and biostatistical findings into a short appraisal

Classify notifiable diseases and outline the notification and reporting pathway

Describe outbreak investigation steps from detection to control measures

Apply principles of isolation, contact tracing, and incubation-period-based quarantine

Distinguish primary, secondary, and tertiary prevention with communicable disease examples

Compare vaccine types, schedules, and population-level effects including herd immunity thresholds

Explain antimicrobial stewardship and mechanisms of resistance at population level

Describe surveillance systems (passive, active, sentinel, syndromic) and their strengths and limits

Outline emergency preparedness and response roles in a public health incident

Apply behavior-change models (stages of change, health belief, social cognitive) to design an intervention

Design a health promotion program with measurable objectives using a planning framework

Select and justify evaluation designs (process, impact, outcome) for a program

Analyze equity and social determinants in access to services

Integrate all four domains through timed mixed-topic practice

Identify and remediate the three weakest subtopics from prior weeks

Rehearse explaining calculations and concepts aloud under time pressure

Finalize a condensed one-page summary for each domain