17 General Introduction 1 References 1. Cremin, C. J., Dash, S. & Huang, X. Big data: Historic advances and emerging trends in biomedical research. Current Research in Biotechnology 4, 138–151 (2022). 2. Gandomi, A. & Haider, M. Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management 35, 137–144 (2015). 3. Batko, K. & Ślęzak, A. The use of Big Data Analytics in healthcare. Journal of Big Data 9, 3 (2022). 4. Kasson, P. M. Infectious Disease Research in the Era of Big Data. Annual Review of Biomedical Data Science 3, 43–59 (2020). 5. Murray, J. & Cohen, A. L. Infectious Disease Surveillance. in 222–229 (Elsevier, 2017). doi:10.1016/B978-0-12-803678-5.00517-8. 6. Wang, B. et al. COVID-19 Related Early Google Search Behavior and Health Communication in the United States: Panel Data Analysis on Health Measures. International Journal of Environmental Research and Public Health 20, 3007 (2023). 7. Bansal, S., Chowell, G., Simonsen, L., Vespignani, A. & Viboud, C. Big Data for Infectious Disease Surveillance and Modeling. Journal of Infectious Diseases 214, S375–S379 (2016). 8. Simonsen, L., Gog, J. R., Olson, D. & Viboud, C. Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems. Journal of Infectious Diseases 214, S380–S385 (2016). 9. Hernán, M. A. & Robins, J. M. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. American Journal of Epidemiology 183, 758–764 (2016). 10. Bots, S. H., Groenwold, R. H. H. & Dekkers, O. M. Using electronic health record data for clinical research: A quick guide. European Journal of Endocrinology 186, E1–E6 (2022). 11. Kohane, I. S. Using electronic health records to drive discovery in disease genomics. Nature Reviews Genetics 12, 417–428 (2011). 12. Breyer, B. N. et al. Use of Google Insights for Search to track seasonal and geographic kidney stone incidence in the United States. Urology 78, 267–271 (2011). 13. Zhang, Q. Data science approaches to infectious disease surveillance. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380, 20210115 (2022). 14. Kain, T. & Fowler, R. Preparing intensive care for the next pandemic influenza. Critical Care 23, 337 (2019). 15. Cavallo, J. J., Donoho, D. A. & Forman, H. P. Hospital Capacity and Operations in the Coronavirus Disease 2019 (COVID-19) PandemicPlanning for the Nth Patient. JAMA Health Forum 1, e200345 (2020). 16. Lane, C. J. et al. ICU Resource Limitations During Peak Seasonal Influenza: Results of a 2018 National Feasibility Study. Critical Care Explorations 4, e0606 (2022). 17. Harris, G. H. et al. US Hospital Capacity Managers’ Experiences and Concerns Regarding Preparedness for Seasonal Influenza and Influenza-like Illness. JAMA Network Open 4, e212382 (2021). 18. Ranney, M. L., Griffeth, V. & Jha, A. K. Critical Supply Shortages The Need for Ventilators and Personal Protective Equipment during the Covid-19 Pandemic. New England Journal of Medicine 382, e41 (2020). 19. Stukas, S. et al. Reduced fixed dose tocilizumab 400 mg IV compared to weight-based dosing in critically ill patients with COVID-19: A before-after cohort study. The Lancet Regional Health - Americas 100228 (2022) doi:10.1016/j.lana.2022.100228. 20. Grennan, D. What Is a Pandemic? JAMA 321, 910 (2019). 21. Paules, C. I. & Fauci, A. S. Influenza Vaccines: Good, but We Can Do Better. The Journal of Infectious Diseases 219, S1–S4 (2019). 22. Wong, K. H. & Lal, S. K. Alternative antiviral approaches to combat influenza A virus. Virus Genes 59, 25–35 (2023). 23. Iskander, J., Strikas, R. A., Gensheimer, K. F., Cox, N. J. & Redd, S. C. Pandemic influenza planning, United States, 1978-2008. Emerging Infectious Diseases 19, 879–885 (2013). 24. Hampson, A. W. & Mackenzie, J. S. The influenza viruses. Medical Journal of Australia 185,
RkJQdWJsaXNoZXIy MTk4NDMw