Precision public health in the era of genomics and big data
Precision public health in the era of genomics and big data
Megan C. Roberts,Kathryn E. Holt,2 Authors,Caitlin Allen
TLDR
The concept of PPH as the next generation of public health is explored, and the historical context of using individual-level data in public health interventions and recent advancements in how data from human and pathogen genomics and social, behavioral and environmental research, as well as artificial intelligence, have transformed public health are examined.
Abstract
Precision public health (PPH) considers the interplay between genetics, lifestyle and the environment to improve disease prevention, diagnosis and treatment on a population level—thereby delivering the right interventions to the right populations at the right time. In this Review, we explore the concept of PPH as the next generation of public health. We discuss the historical context of using individual-level data in public health interventions and examine recent advancements in how data from human and pathogen genomics and social, behavioral and environmental research, as well as artificial intelligence, have transformed public health. Real-world examples of PPH are discussed, emphasizing how these approaches are becoming a mainstay in public health, as well as outstanding challenges in their development, implementation and sustainability. Data sciences, ethical, legal and social implications research, capacity building, equity research and implementation science will have a crucial role in realizing the potential for ‘precision’ to enhance traditional public health approaches. Human genetics, pathogen genomics, social and environmental data and AI are transforming public health—enabling more-precise interventions that account for heterogeneity in and across populations.
