From Situational Awareness to Scientific Situational Awareness
Public health response to the coronavirus disease 2019 (COVID-19) pandemic has highlighted the need for situational awareness.1 In particular, scientific situational awareness is required to formulate science-informed policies. In public health emergency response, situational awareness typically comprises public health surveillance and laboratory testing data, but also includes information on relevant health or public health infrastructure, population data, and environmental exposure data that may be analyzed and displayed spatiotemporally.2 A general definition of scientific situational awareness, or awareness of the scientific information environment, may include monitoring citation databases and newer repositories such as preprint servers for publication of new findings and sharing relevant references within organizations or emergency response structures.3
The pandemic/paperdemic/infodemic has changed the scientific landscape, requiring the general and scientific communities to bring different skills to bear to interpret the dizzying array of information about COVID-19.
The 2009 H1N1 influenza pandemic occurred after the rise of the internet. The decade since then has seen major trends in the digital world, such as the application of artificial intelligence and “big data” methodologies including machine learning to public health.4 The COVID-19 pandemic has been the first to fully leverage big data tools, for example, in the form of interactive dashboards that aggregate data and track various global metrics related to the pandemic. In addition to the widely used global case data dashboard created by a multidisciplinary team at Johns Hopkins University,5 newer dashboards track severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence studies6 and COVID-19 related clinical trials.7
References
- Endsley MR. Toward a theory of situation awareness in dynamic systems. Hum Factors. 1995;37(1):32-64. Crossref, Google Scholar
- Lowe L, Salame-Alfie A, Neurath B, et al. Geospatial analysis in responding to a nuclear detonation scenario in NYC: the Gotham Shield Exercise. J Homeland Secur Emerg Manage. 2020;17(3):20190027. Google Scholar
- Iskander J, Rose DA, Ghiya ND. Science in emergency response at CDC: structure and functions. Am J Public Health. 2017;107(suppl 2):S122-S125. Crossref, Medline, Google Scholar
- Benke K, Benke G. Artificial intelligence and big data in public health. Int J Environ Res Public Health. 2018;15(12):2796. Crossref, Google Scholar
- Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 2020;20(5):533-534. Crossref, Medline, Google Scholar
- Arora RK, Joseph A, Van Wyk J, et al. SeroTracker: a global SARS-CoV-2 seroprevalence dashboard. Lancet Infect Dis. August 4, 2020. doi:10.1016/S1473-3099(20)30631-9 Crossref, Google Scholar
- Thorlund K, Dron L, Park J, Hsu G, Forrest JI, Mills EJ. A real-time dashboard of clinical trials for COVID-19. Lancet Digit Health. 2020;2(6):e286-e287. Crossref, Medline, Google Scholar
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