Abstract
Precision public health (PPH) considers the interplay between genetics, lifestyle and the environment to improve disease prevention, diagnosis and treatment on a population levelâthereby 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 âprecisionâ to enhance traditional public health approaches.
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Acknowledgements
We thank M. Khoury for his input and contribution to this perspective. A.A.B. has been receiving support from grant R35ES031688 from the National Institutes of Health (NIH)/National Institute of Environmental Health Sciences (NIEHS). This work is in part supported by 2R13CA261073-02 from the NIH/National Cancer Institute (NCI) (Roberts and Allen). G.D.F. received support from grant 1U24CA274582 from the NCI.
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Roberts, M.C., Holt, K.E., Del Fiol, G. et al. Precision public health in the era of genomics and big data. Nat Med 30, 1865â1873 (2024). https://doi.org/10.1038/s41591-024-03098-0
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DOI: https://doi.org/10.1038/s41591-024-03098-0