In epidemiology, we don’t just ask who is sick; we ask how many and how fast. Measuring disease frequency is the foundation for allocating resources, identifying outbreaks, and evaluating interventions.
Prevalence measures the burden of disease in a population at a specific time. It includes both new and pre-existing cases.
Formula: \[Prevalence = \frac{\text{Total number of cases at a given time}}{\text{Total population at that time}}\]
Incidence measures the flow of new cases. It represents the risk of contracting the disease.
1. Cumulative Incidence (Risk): \[CI = \frac{\text{Number of NEW cases during a period}}{\text{Number of persons at risk at the start of the period}}\]
2. Incidence Rate (Incidence Density): Used when people are followed for different lengths of time. \[IR = \frac{\text{Number of NEW cases}}{\text{Total Person-Time at risk}}\]
The “Bathtub” Analogy: Imagine a bathtub. The water flowing in is Incidence. The water already in the tub is Prevalence. The water draining out (death or cure) is the Outcome.
In 2020-2023, epidemiologists used these measures to identify vulnerable groups.
CFR measures the severity of a disease—the proportion of people diagnosed who eventually die from it.
Formula: \[CFR (\%) = \frac{\text{Number of deaths from disease X}}{\text{Number of confirmed cases of disease X}} \times 100\]
Epidemiologists use Epidemic Curves (Epi Curves) to visualize the progression of an outbreak.
Figure 1: Sample Epidemic Curve showing the progression of new cases over 30 days.
| Measure | Numerator | Denominator | Application |
|---|---|---|---|
| Prevalence | All cases (Old + New) | Total Population | Planning health services |
| Incidence | New cases only | Population at Risk | Identifying causes/outbreaks |
| CFR | Deaths from disease | Confirmed cases | Measuring virulence/severity |
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