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== <span style="color: #FFFFFF;">Analyzing</span> == {| class="wikitable" |+ Incidence vs. Prevalence ! Feature !! Incidence (The 'Flow') !! Prevalence (The 'Pool') |- | Measure || New cases only || All active cases |- | Use Case || To find the 'Cause' (Why are people getting sick?) || To plan 'Resources' (How many beds do we need?) |- | Formula || New cases / Population at risk || Total cases / Total population |- | Analogy || Water flowing into a bathtub || The total water in the bathtub |} '''The Concept of "Confounding"''': This is the "Ghost in the Machine." A confounder is a hidden variable that is linked to both the risk and the disease. If you study "Lighter use" and "Lung cancer," you'll find a link—but the confounder is "Smoking." Analyzing and "Controlling" for these ghosts is the hardest part of epidemiology. </div> <div style="background-color: #483D8B; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
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