E-Books →Health Metrics and the Spread of Infectious Diseases

Key Features:Structured into four main sections―foundational health metrics, machine learning applications, data visualization, and real-world case studiesIntegrates real-world case studies with data visualization and machine learning techniques, including spatial modelling with the R programming languageCovers specific infectious diseases such as COVID-19 and malaria, providing insights into their spread and controlIncludes detailed explanations, practical exercises, and clear illustrations to enhance understanding and applicationAdopts a practical approach, making advanced concepts accessible to a wide audienceThe book is primarily aimed at researchers, data scientists, and public health professionals who seek to leverage data to improve health outcomes. By blending theoretical knowledge with practical applications, the book equips readers with the tools to make informed decisions and produce meaningful data analyses in public health.