Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R

Author:   Federica Gazzelloni
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032625782


Pages:   320
Publication Date:   30 July 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
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Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R


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Full Product Details

Author:   Federica Gazzelloni
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.790kg
ISBN:  

9781032625782


ISBN 10:   1032625783
Pages:   320
Publication Date:   30 July 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Introduction 2. Introduction to Health Metrics 3. Methods and Calculations 4. Metrics Components 5. Causes and Risks 6. Introduction to Machine Learning 7. Techniques for Machine Learning Applications 8. Essential R Packages for Machine Learning 9. Predictive Modelling and Beyond 10. Introduction to Data Visualization 11. Interpreting Model Results Through Visualization 12. Spatial Data Modelling and Visualization 13. Advanced Data Visualization Techniques 14. Introduction to Infectious Diseases 15. COVID-19 Outbreaks 16. The Case of Malaria 17. Summary: The State of Health

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Author Information

Federica Gazzelloni is an Actuary and Statistician with a focus on health metrics, machine learning, and data visualisation. Her collaboration with the Institute for Health Metrics and Evaluation (IHME) inspired her to create this book as a practical guide for analysing health metrics data, bridging complex methodologies with real-world applications. Prior to her work in public health, she gained experience in both corporate and academic settings, where she served as a research-oriented actuary, taught mathematics to high school students, and instructed university students in computer science. This varied background enables her to bridge complex statistical concepts with real-world applications, making data-driven insights accessible to broader audiences. A dedicated advocate for open-source technology and inclusivity, Federica is an active contributor to organisations such as the Data Science Learning Community (DSLC), Actex Learning, The Carpentries, Bioconductor, and the R Consortium. As the lead organiser of R-Ladies Rome, she fosters a supportive space for underrepresented groups in technology to develop skills in data science and visualisation. Her passion for turning complex data into clear, actionable visual narratives is reflected throughout her work. For updates on her latest projects and initiatives, visit federicagazzelloni.com.

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