Chapter 18: Introduction to Python for Disease Epidemiology
Data Science for the Health Sciences · Textbook pages 273–292
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Learning objectives
Complete an epidemiological workflow in Python, from an outbreak line list to mapped, modelled and forecast results.
Study sequence
- Read the section and identify the assumptions behind each method.
- Work through the examples, checking the reasoning and any calculations or code.
- Attempt the chapter exercises before consulting the worked answers.
Topics in this reading
- p. 273
- p. 274
- p. 275
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- p. 276
- p. 277
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- p. 280
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Read the original pages
This reading contains the complete textbook pages 273–292, including the original equations, figures, examples and any exercises in this section. Use the page controls to read online, or open the PDF in a separate tab.
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