Illustrating the occurrence of measles cases by month requires a data display that shows trends over time.
Option A (Gantt chart): Gantt charts manage project timelines, not display epidemiological trends.
Option B (Pie chart): Pie charts show proportions, not time-based trends.
Option C (Cause-and-effect diagram): This identifies causes, not displays temporal data.
Option D (Run chart): This is the correct answer. The NAHQ CPHQ study guide states, “Run charts display data over time, making them ideal for showing trends, such as disease cases by month” (Domain 2). A run chart would plot measles cases per month, highlighting patterns.
CPHQ Objective Reference: Domain 2: Health Data Analytics, Objective 2.3, “Select appropriate data display tools,” emphasizes run charts for temporal data. The NAHQ study guide notes, “Run charts are effective for tracking disease outbreaks over time” (Domain 2).
Rationale: Run charts show measles cases by month, aligning with CPHQ’s data visualization principles.
[Reference: NAHQ CPHQ Study Guide, Domain 2: Health Data Analytics, Objective 2.3., , , , ]
