Emerging Issues:
- Artificial Intelligence and Machine Learning:
- Bhiman, R. N., & Anderson, C. M. (2020). Artificial intelligence and machine learning in health and healthcare. JAMA, 324(20), 2023-2031.
- Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.
- Climate Change and Health:
- Smith, K. R., Woodward, A., Campbell-Lendrum, D., Chadee, D. D., Honda, Y., Liu, Q., ... & Sauerborn, R. (2014). Human health: Impacts, adaptation, and co-benefits. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects.
- Costello, A., Abbas, M., Allen, A., Ball, S., Bell, S., Bellamy, R., ... & A. (2009). Managing the health effects of climate change: Lancet and University College London Institute for Global Health Commission. The Lancet, 373(9676), 1693-1733.
- Precision Medicine:
- Collins, F. S., & Varmus, H. (2015). A new initiative on precision medicine. New England Journal of Medicine, 372(9), 833-836.
- Khoury, M. J., McGuire, A. L., & Evans, J. P. (2014). Harnessing genomics in precision medicine initiatives. Nature Reviews Genetics, 15(12), 812-823.
Reemerging Issues:
- Antibiotic Resistance:
- Centers for Disease Control and Prevention. (2019). Antibiotic Resistance Threats in the United States, 2019.
- World Health Organization. (2019). Global Antimicrobial Resistance and Use Surveillance System (GLASS) Report.
- Vector-Borne Diseases:
- Polanco, J. R., Kennedy, J. A., Bernhardt, E. A., Thomas, M. C., & Graham, C. B. (2017). Vector-borne diseases: Recent advances in diagnostics and therapeutic interventions. Annual Review of Medicine, 68, 449-465.
- Centers for Disease Control and Prevention. (2020). Tickborne Disease Surveillance Summary United States, 2017.
- Pathogen Evolution and Strain Variation:
- Levy, S. B., & Marshall, B. (2004). Antibacterial resistance necessitates new drug discovery. Nature Medicine, 10, S122-S129.
- Korber, B., Fischer, W. M., Gnanakaran, S., Yoon, H., Theiler, J., Abfalterer, W., ... & Walker, B. D. (2020). Tracking Changes in SARS-CoV-2 Spike: Evidence that D614G Increases Infectivity. Cell, 182(4), 812-827.