10. Li, Q., Feng, W., Quan, Y.-H., Trend and forecasting of the COVID-19 out-break in China. J. Infect ., 469–496, 2020. Accessed: Jul. 10, 2020. [Online]. Available: https://dx.doi.org/10.1016/j.jinf.2020.02.014.
11. Morris, A., Monitoring COVID-19 from hospital to home: First wearable device continuously tracks key symptoms , May 04, 2020, https://news.north-western.edu/stories/2020/04/monitoring-covid-19-from-hospital-to-home-first-wearable-device-continuously-tracks-key-symptoms/(accessed Jul. 13, 2020).
12. Haleem, A., Javaid, M., Vaishya, R., Deshmukh, S.G., Areas of academic research with the impact of COVID-19. Am. J. Emerg. Med ., 38, 7, 1524–1526, Jul. 2020.
13. Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., Mankodiya, K., Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Gener. Comput. Syst ., 78, 659–676, Jan. 2018.
14. Qi, J., Yang, P., Min, G., Amft, O., Dong, F., Xu, L., Advanced internet of things for personalised healthcare systems: A survey. Pervasive Mob. Comput ., 41, 132–149, Oct. 2017.
15. Zhou, C. et al ., COVID-19: Challenges to GIS with Big Data. Geogr. Sustain ., 1, 1, 77–87, Mar. 2020.
16. Bragazzi, N.L., Dai, H., Damiani, G., Behzadifar, M., Martini, M., Wu, J., How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic. Int. J. Environ. Res. Public Health , 17, 9, 02 2020.
17. Liu, S., Xie, M., Ye, Z., Combating COVID-19—How Can AR Telemedicine Help Doctors More Effectively Implement Clinical Work. J. Med. Syst ., 44, 9, 141, Jul. 2020.
18. Singh, R.P., Javaid, M., Kataria, R., Tyagi, M., Haleem, A., Suman, R., Significant applications of virtual reality for COVID-19 pandemic. Diabetes Metab. Syndr. Clin. Res. Rev ., 14, 4, 661–664, Jul. 2020.
19. Tuli, S., Tuli, S., Tuli, R., Gill, S.S., Predicting the growth and trend of COVID-
19 pandemic using machine learning and cloud computing. Internet Things , 11, 100222, Sep. 2020.
20. Fiani, B. et al ., Impact of robot-assisted spine surgery on healthcare quality and neurosurgical economics: A systemic review. Neurosurg. Rev ., 43, 1, 17–25, Feb. 2020.
21. Yang, G.-Z. et al ., Combating COVID-19—The role of robotics in managing public health and infectious diseases. Sci. Robot ., 5, 40, Mar. 2020.
22. Shi, F. et al ., Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. IEEE Rev. Biomed. Eng ., 1–1, 2020.
23. Tino, R. et al ., COVID-19 and the role of 3D printing in medicine. 3D Print. Med ., 6, 1, 11, Apr. 2020.
24. Cavallo, L., Marcianò, A., Cicciù, M., Oteri, G., 3D Printing beyond Dentistry during COVID-19 Epidemic: A Technical Note for Producing Connectors to Breathing Devices. Prosthesis , 2, 2, Art. no. 2, Jun. 2020.
25. Seo, G. et al ., Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor. ACS Nano , 14, 4, 5135–5142, Apr. 2020.
26. McDonald, S., The Digital Response to the Outbreak of COVID-19 , Mar. 2020, Accessed: Jul. 27, 2020. [Online]. Available: https://www.cigionline.org/articles/digital-response-outbreak-covid-19.
27. Lomas, N., Germany’s COVID-19 contacts tracing app to link to labs for test result notification , TechCrunch, Apr. 23, 2020, https://social.techcrunch.com/2020/04/23/germanys-covid-19-contacts-tracing-app-to-link-to-labs-for-test-result-notification/(accessed Jul. 27, 2020).
28. Orange: Reuters, BRIEF-Orange, Dassault Systemes, CapGemini among top firms involved in French StopCovid app project , Apr. 26, 2020.
29. MacNamee Terence, S.I., Switzerland launches SwissCovid tracing app for residents , SWI swissinfo.ch, Jun. 25, 2020, https://www.swissinfo.ch/eng/switzerland-launches-swisscovid-contact-tracing-app-for-residents/45859778(accessed Jul. 27, 2020).
30. Kelion, L., First Google/Apple-based virus-trace app launched , BBC News, May 26, 2020.
31. Rayome, A.D., This robot could make COVID-19 testing faster and safer , CNET, Apr. 21, 2020, https://www.cnet.com/news/this-robot-could-make-covid-19-testing-faster-and-safer/(accessed Jul. 27, 2020).
32. IW Staff, 600 US Manufacturers Ready to Assist with Pandemic Relief Effort , IndustryWeek, Apr. 10, 2020, https://www.industryweek.com/covid19/article/21128586/600-us-manufacturers-ready-to-assist-with-pandemic-relief-effort(accessed Jul. 27, 2020).
33. Air Liquid, Air Liquide, Groupe PSA, Schneider Electric, Valeo rise to the challenge of producing 10,000 Air Liquide Medical Systems respirators in response to the French government request , Air Liquide, Apr. 01, 2020, https://www.airliquide.com/mainland-china/air-liquide-groupe-psa-schneider-electric-valeo-rise-challenge-producing-10000-air(accessed Jul. 27, 2020).
34. Whitelaw, S., Mamas, M.A., Topol, E., Spall, H.G.C.V., Applications of digital technology in COVID-19 pandemic planning and response. Lancet Digit. Health , Jun. 2020.
35. Vaishya, R., Javaid, M., Khan, I.H., Haleem, A., Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes Metab. Syndr. Clin. Res. Rev ., 14, 4, 337–339, Jul. 2020.
36. Iyengar, K., Upadhyaya, G.K., Vaishya, R., Jain, V., COVID-19 and applications of smartphone technology in the current pandemic. Diabetes Metab. Syndr ., 14, 5, 733–737, 2020.
37. Singh, R.P., Javaid, M., Haleem, A., Suman, R., Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes Metab. Syndr. Clin. Res. Rev ., 14, 4, 521–524, Jul. 2020.
38. Zhong, R.Y., Xu, X., Klotz, E., Newman, S.T., Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering , 3, 5, 616–630, Oct. 2017.
1 *Corresponding author: rayanr@alexu.edu.eg
Конец ознакомительного фрагмента.
Текст предоставлен ООО «ЛитРес».
Прочитайте эту книгу целиком, купив полную легальную версию на ЛитРес.
Безопасно оплатить книгу можно банковской картой Visa, MasterCard, Maestro, со счета мобильного телефона, с платежного терминала, в салоне МТС или Связной, через PayPal, WebMoney, Яндекс.Деньги, QIWI Кошелек, бонусными картами или другим удобным Вам способом.