A per-100,000 figure can often be converted to a percentage with simple arithmetic. Correct interpretation also requires checking the population, timeframe, event definition, and type of rate.
Public-health dashboards are time-stamped views of evolving records. Learn how provisional data, reporting lag, backfill, date fields, and revisions affect what you see.
Small-area health maps can turn a few events into an apparent hotspot. Learn how sparse data, age adjustment, smoothing, geocoding, privacy controls, and ecological fallacy affect interpretation.
