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.
Contacts and Information: fede.gazzelloni@gmail.com
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