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

🔗 https://bookdown.org/fede_gazzelloni/hmsidR/

Editor CRC Press - Chapman & Hall


Discover the fascinating world of health metrics and infectious disease analysis with our upcoming manual and textbook! Whether you’re new to the field or a seasoned practitioner, this resource offers valuable insights into key concepts and practical applications.

Learn about essential public health metrics like DALYs, YLL, and YLD, which provide crucial indicators of a population’s health status. Dive into recent infectious disease outbreaks, including the impact of Covid19, and explore the most affected locations.

With a mix of explanatory text and hands-on R code examples, you’ll become proficient in analyzing real-world case studies. We’ll compare health metrics across different locations and test predictive models using tidymodels and INLA. Plus, you’ll discover the power of spatial visualization techniques using ggplot2, leaflet, sf, rgdal, and other popular R packages. Whether you’re a beginner or an advanced practitioner, this book is designed to enhance your understanding and skills in health data analysis.

Ideal for early-stage practitioners and graduate students in public health, this resource is your guide to unlocking the full potential of R for spatial and health metrics analysis.

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