Goldis Epidemiology

This book provides a comprehensive introduction to computational epidemiology, highlighting its major methodological paradigms throughout the development of the field while emphasizing the needs for a new paradigm shift in order to most effectively address the increasingly complex real-world challenges in disease control and prevention.

This book covers some of the most novel genetic and genomic concepts in epidemiology, such as geospatial statistics and systems biology from a clinical point of view by explaining molecular applications with accessible human studies. Featuring a comprehensive table of contents, it includes chapters from genomics and epidemiology surveillance to transcriptomics and alternative splicing principles.

Molecular epidemiology has recently broaden its focuses due to the development of molecular tools but also by incorporating advances of other fields such as mathematical epidemiology

Become a disease detective with this easy-to-understand resource