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

Explore the intersection of health metrics, infectious diseases, and data science with ‘Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis With R.’ This essential guide, ideal for researchers, data scientists, and public health professionals, offers a practical introduction to understanding and analyzing global health status and disease outbreaks. Delve into key concepts like Disability Adjusted Life Years (DALYs) and learn to apply cutting-edge machine learning tools and spatial modelling techniques using the R programming language. With real-world case studies, including insights into COVID-19 and malaria, this book equips you to uncover trends, predict outcomes, and make data-driven decisions to improve public health. Enhance your analytical skills and contribute to better health outcomes with this comprehensive resource from The Bookish Owl.

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Description

  • ISBN-10: 1032625783
  • ISBN-13: 978-1032625782
  • Edition: 1st
  • Publication date: 30 July 2025
  • Language: English
  • Dimensions: 18.38 x 2.44 x 26 cm
  • Print length: 344 pages

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