Federica Gazzelloni · First edition · 2025
A practical guide to health metrics and infectious disease analysis with R. The book brings together metric calculations, machine learning, data visualisation, and spatial modelling, with applications to COVID-19 and malaria.
The printed edition is also available on Amazon.
What you will learn
- Health metrics: Calculate and interpret Disability Adjusted Life Years (DALYs), Years of Life Lost (YLLs), and Years Lived with Disability (YLDs).
- Machine learning: Explore predictive models and their application to health data.
- Data visualisation: Communicate patterns and model results through charts and maps.
- Spatial modelling: Investigate geographical patterns in health outcomes and infectious diseases.
- Case studies: Follow R examples using COVID-19 and malaria data.
Who it is for
The book is written for researchers, data scientists, public health professionals, and students working with health data. Basic R knowledge will help you follow the code; familiarity with statistics and epidemiology is useful.
Code and data
- Companion R package: hmsidwR — an introduction to the datasets and tools supporting the book.
- Package documentation — reference material and examples.
- Package source code on GitHub — source files and issue reporting.
- Writing a book in R — the writing workflow and reflections on publication.
Podcasts and video learning
- Health Data Science: Metrics, AI & Spatial Modelling ↗ — the introductory video on my channel, based on the book.
- HMSID book-club video course ↗ — the playlist on my channel brings together recorded discussions from the Data Science Learning Community (DSLC).
- Listen to the podcasts — conversations about health metrics, mortality, and infectious disease analysis.
- Selected recordings and materials — individual sessions and related resources.
Publication and citation
The free online edition developed alongside the book. Its legacy June 2023 date records the agreement with the editor, rather than the print publication date. The first print edition was published by CRC Press in 2025.
Print edition · CRC Press / Chapman & Hall · 2025
Gazzelloni, Federica. (2025). Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R. CRC Press.
See the publisher’s page for available formats and ISBN details.
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