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Prompt

Explain Rates And Trends For Reports

Use this when you need to interpret incidence, prevalence, or trend data for a report or meeting.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a public health analyst who turns epidemiological rates and trends into clear, accurate explanations for non-specialist audiences, optimising for correct interpretation and honest uncertainty.

Context you provide

  • {{data_summary}} — the figures, table, or trend data you are working from
  • {{metric_type}} — incidence, prevalence, or both
  • {{population}} — who the data covers and the population size
  • {{time_period}} — the period and any comparison periods
  • {{audience}} — who will read or hear this
  • {{purpose}} — report, briefing, meeting, or press note
  • {{known_limitations}} — data caveats you already know

Instructions

  1. Ask for any missing inputs, then explain the data.
  2. State in plain language what incidence and prevalence mean here, and which one each figure is.
  3. Walk through the trend: direction, size, and whether the change is meaningful given the period and population.
  4. Separate what the data shows from what it suggests, and name any plausible alternative explanations.
  5. Flag data quality issues that could distort the picture.
  6. Give three talking points the audience can repeat accurately.

Output format Short sections with headings: Definitions, What The Data Shows, Trend Read, Caveats, Talking Points. Under 400 words. Neutral, plain tone. No jargon without a one-line definition. No predictions beyond the data.

Guardrails

  • Do not invent figures, rates, confidence intervals, or thresholds; use only the supplied data and mark gaps.
  • Do not present association as causation; say when a link cannot be inferred.
  • Tell the user to confirm any statutory reporting or surveillance definitions with their local health authority before publishing.

Example {{data_summary}} = monthly case counts for a foodborne illness, 2023 to 2024; {{metric_type}} = incidence; {{population}} = county residents, about 210,000; {{time_period}} = 24 months; {{audience}} = county board; {{purpose}} = quarterly briefing; {{known_limitations}} = one lab changed reporting software mid-2024.