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Erschienen in: Journal of Medical Systems 3/2020

01.03.2020 | SARS-CoV-2 | Editorial

The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus

verfasst von: Justin B. Long, Jesse M. Ehrenfeld

Erschienen in: Journal of Medical Systems | Ausgabe 3/2020

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Excerpt

In late 2019, a novel coronavirus was identified – 2019-nCoV [1]. This is likely the third time in three decades that a zoonotic coronavirus has jumped from infecting animals to humans [2]. As of today, 213 have died and 9809 have been infected in China with the center of the outbreak being located in Wuhan but now having spread, with confirmed cases twenty-two other countries [3]. While the fatality rate of 2019-nCoV is less than other recent respiratory virus outbreaks, it remains much higher than other commonly encountered causes of respiratory infection but its full impact is yet undetermined [4]. The World Health Organization (WHO) has now declared the coronavirus outbreak to be a public-health emergency of international concern. …
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Zurück zum Zitat Brooks, L. C., Farrow, D. C., Hyun, S., Tibshirani, R. J., and Rosenfeld, R., Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions. PLoS Comput Biol. 14(6):e1006134, 2018.CrossRef Brooks, L. C., Farrow, D. C., Hyun, S., Tibshirani, R. J., and Rosenfeld, R., Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions. PLoS Comput Biol. 14(6):e1006134, 2018.CrossRef
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Metadaten
Titel
The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus
verfasst von
Justin B. Long
Jesse M. Ehrenfeld
Publikationsdatum
01.03.2020
Verlag
Springer US
Schlagwörter
SARS-CoV-2
COVID-19
Erschienen in
Journal of Medical Systems / Ausgabe 3/2020
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-020-1536-6

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