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Prompt course · 8 lessons · 24 prompts · 1 hour · Beginner

AI for Epidemiologists

Learn to use AI for disease data, study documents, cleaning, analysis, outbreak reports, and policy messages. The lessons keep your scientific judgment at the center.

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What you'll learn

  • Explain Disease Measures: Use AI to explain rates, ratios, and tables in plain language.
  • Draft Study Documents: Create and refine protocols, questionnaires, and analysis plans.
  • Plan Data Cleaning: Map recoding, missing values, and documentation before you start.
  • Read Disease Patterns: Ask AI to help interpret trends by time, place, and person.
  • Choose Statistical Methods: Compare methods and draft reproducible analysis steps.
  • Organize Outbreak Reports: Sort outbreak data and draft situation reports during an investigation.
  • Write Research Reports: Draft abstracts, manuscripts, and reports with AI support.
  • Advise and Present: Turn findings into policy briefs, risk messages, and talks.

What's inside

8 lessons · 24 prompts
  1. Before you start · framework course RACE Prompt Framework: Role, Action, Context, ExpectationRACE fits epidemiology by defining role, action, context, and expected quality for tasks like drafting a county outbreak report with case definitions.
  2. Start here Nadia's Wednesday, two waysA day in the life of an Epidemiologist, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Understand Disease Data
  4. 02 Lesson 2 · 3 prompts Design Study Documents
  5. 03 Lesson 3 · 3 prompts Prepare And Clean Data
  6. 04 Lesson 4 · 3 prompts Analyze Disease Patterns
  7. 05 Lesson 5 · 3 prompts Run Statistical Analyses
  8. 06 Lesson 6 · 3 prompts Monitor Outbreaks
  9. 07 Lesson 7 · 3 prompts Write Research Reports
  10. 08 Lesson 8 · 3 prompts Advise And Present

About this course

7 topics

Prompt Course for Epidemiologists: From Data to Policy

This prompt course is built around the daily work of epidemiologists. You will practice turning messy questions into clear instructions for ChatGPT, Claude, or Gemini.

Each lesson gives you a repeatable way to check AI output, document your steps, and keep privacy and ethics in view. You do not need to be technical to begin.

  1. The lessons
    1. Understand Disease Data: Use AI to explain epidemiological measures, interpret tables, and spot data quality issues in a dataset.
    2. Design Study Documents: Draft and refine protocols, questionnaires, and analysis plans for epidemiological studies.
    3. Prepare And Clean Data: Use AI to plan data cleaning, recoding, and documentation for epidemiological datasets.
    4. Analyze Disease Patterns: Interpret rates, trends, and geographic or demographic patterns with AI help.
    5. Run Statistical Analyses: Choose and interpret statistical methods for epidemiological data and draft reproducible analysis steps.
    6. Monitor Outbreaks: Use AI to organize outbreak data, draft situation reports, and interpret trends during an investigation.
    7. Write Research Reports: Draft and revise epidemiological reports, abstracts, and manuscripts with AI assistance.
    8. Advise And Present: Translate epidemiological findings into policy briefs, risk messages, and presentation narratives.
  2. What the Course Covers

    You will work through eight lessons that follow an epidemiological project from question to communication. Each lesson pairs a prompt pattern with a way to check the result.

    The lessons cover disease measures, study documents, data cleaning, pattern analysis, statistics, outbreak monitoring, research writing, and policy advice.

  3. How the Lessons Connect

    The lessons build in order. You start by understanding disease data, then design documents, clean data, analyze patterns, run statistics, monitor outbreaks, write reports, and advise decision makers.

    You can also jump to the lesson that matches a task on your desk today. The skills reinforce each other, so returning to earlier lessons often helps.

  4. How to Use Prompts Well

    Good prompts name the dataset, the population, the time period, and the decision you need to make. Ask for assumptions, limits, and a short summary you can verify.

    Keep your first prompt simple, then add details in follow-up messages. Always check numbers, sources, and wording before you share anything.

  5. Who This Course Is For

    This course is for epidemiologists, public health analysts, and students who work with disease data. It suits people who write reports, review studies, or support outbreak response.

    You do not need a technical background. You do need a willingness to test AI output and keep your own professional standards.

  6. Safety and Privacy

    Never paste identifiable health information into a public AI tool. Use approved systems, remove personal details, and treat AI output as a draft that needs human review.

    Follow your agency rules and local laws. When in doubt, ask your privacy officer before you put any real data into a tool.

  7. Your Next Step

    Pick one lesson that matches a task on your calendar this week. Run the prompt, check the output, and save what works for your team.

    Then choose the next lesson and repeat. Over time, you will build a personal set of prompts that fit your job and your voice.