Details

Title

Analyzing and improving tools for supporting fighting against COVID-19 based on prediction models and contact tracing

Journal title

Bulletin of the Polish Academy of Sciences: Technical Sciences

Yearbook

2021

Volume

69

Issue

4

Affiliation

Gruda, Martyna : Wroclaw University of Science and Technology, ul. Wybrzeże Stanisława Wyspiańskiego 27, 50-370 Wroclaw, Poland ; Kedziora, Michal : Wroclaw University of Science and Technology, ul. Wybrzeże Stanisława Wyspiańskiego 27, 50-370 Wroclaw, Poland

Authors

Keywords

COVID-19 ; prediction models ; contact tracing

Divisions of PAS

Nauki Techniczne

Coverage

e137414

Bibliography

  1.  V. Chamola, V. Hassija, V. Gupta, and M. Guizani, “A comprehensive review of the COVID-19 pandemic and the role of IoT, drones, AI, blockchain, and 5G in managing its impact,” IEEE Access, vol. 8, pp. 90225–90265, 2020.
  2.  J. Stanley and J.S. Granick, “Aclu white paper: The limits of location tracking in an epidemic,” Am. Civ. Lib. Union, April 2020.
  3.  G. Dartmann, H. Song, and A. Schmeink, Big data analytics for cyber-physical systems: machine learning for the internet of things. Elsevier, 2019.
  4.  M. Zastrow, “South korea is reporting intimate details of COVID-19 cases: has it helped?” Nature, March 2020.
  5.  Ł. Apiecionek, J. Czerniak, M. Romantowski, D. Ewald, B. Tsizh, H. Zarzycki, and W. Dobrosielski, “Authentication over internet protocol,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 68, no. 2, 2020.
  6.  E. Talhi, J.-C. Huet, V. Fortineau, and S. Lamouri, “A methodology for cloud manufacturing architecture in the context of Industry 4.0,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 68, no. 2, pp. 271‒284, 2020.
  7.  L. Madeyski, T. Lewowski, and B. Kitchenham, “OECD Recommendation’s draft concerning access to research data from public funding: A review,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 1, p. e135401, 2021.
  8.  A.I. Abubakar, K.G. Omeke, M. Öztürk, S. Hussain, and M.A. Imran, “The role of artificial intelligence driven 5G networks in COVID-19 outbreak: opportunities, challenges, and future outlook,” Front. Commun. Networks, vol. 1, p. 575065, 2020.
  9.  D. Ingram and J. Ward, “Behind the global efforts to make a privacy-first coronavirus tracking app,” NBC News, April 2020.
  10.  “Google API for exposure notifications,” [Online]. Available: https://developers.google.com/android/exposure-notifications. Accessed: 2020-11-06.
  11.  “COVID-19 screening tool website, apple website,” [Online]. Available: https://covid19.apple.com/screening/. Accessed: 2020-11-07.
  12.  “Center for disease control and prevention COVID-19 health bot website,” [Online]. Available: https://www.cdc.gov/code.html. Accessed: 2020-11-07.
  13.  “Project decode – data driven covid detection,” [Online]. Available: https://antycovid.ipipan.waw.pl/slides/p1130-3-Gruca.pdf. Accessed: 2020-11-07.
  14.  C. Menni, A. Valdes, and M. Freidin, “Real-time tracking of self-reported symptoms to predict potential COVID-19,” Nat. Med., April 2020.
  15.  D. Hauser, A.O. Obeng, K. Fei, M.A. Ramos, and C.R. Horowitz, “Views of primary care providers on testing patients for genetic risks for common chronic diseases,” Health Aff., vol. 37, no. 5, pp. 793–800, 2018.
  16.  T. Alashoor, S. Han, and R.C. Joseph, “Familiarity with big data, privacy concerns, and self-disclosure accuracy in social networking websites: an apco model,” Commun. Assoc. Inf. Syst., vol. 41, no. 1, p. 4, 2017.
  17.  M. Macenaite, “From universal towards child-specific protection of the right to privacy online: Dilemmas in the EU General Data Protection Regulation,” New Media Soc., vol. 19, no. 5, pp. 765–779, 2017.
  18.  N. Crepaz, T. Tang, G. Marks, M.J. Mugavero, L. Espinoza, and H.I. Hall, “Durable viral suppression and transmission risk potential among persons with diagnosed hiv infection: United states, 2012–2013,” Clin. Infect. Dis., vol. 63, no. 7, pp. 976– 983, 2016.
  19.  A.A. Hussain, O. Bouachir, F. Al-Turjman, and M. Aloqaily, “AI techniques for COVID-19,” IEEE Access, vol. 8, pp. 128776‒128795, 2020.
  20.  R. Vaishya, M. Javaid, I.H. Khan, and A. Haleem, “Artificial intelligence (AI) applications for COVID-19 pandemic,” Diabetes Metab. Syndr.: Clin. Res. Rev., 2020.
  21.  H. Dai and B. Zhao, “Association of the infection probability of COVID-19 with ventilation rates in confined spaces,” in Build. Simul., vol. 13. Springer, 2020, pp. 1321–1327.
  22.  J. Xie, Z. Tong, X. Guan, B. Du, H. Qiu, and A. S. Slutsky, “Critical care crisis and some recommendations during the COVID-19 epidemic in china,” Intensive Care Med., pp. 1‒4, 2020.
  23.  C. Prunean, “System and method for amplitude pre-distortion optimization for GPS signal constant envelope transmission,” Oct. 1 2019, US Patent 10,432,447.
  24.  P. Zhou, Y. Zheng, Z. Li, M. Li, and G. Shen, “IODetector: a generic service for indoor outdoor detection,” in Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, ser. SenSys ’12. New York, NY, USA: Association for Computing Machinery, 2012, pp. 361–362. [Online]. Available: https://doi.org/10.1145/2426656.2426709.
  25.  J.A. Quiña-Mera, E.R. Saransig-Perugachi, D.J. Trejo- España, M.E. Naranjo-Toro, and C.P. Guevara-Vega, “Automation of the barter exchange management in ecuador applying Google V3 API for geolocation,” in International Conference on Information Technology & Systems. Springer, 2019, pp. 210‒219.
  26.  N. Ahmed, R.A. Michelin, W. Xue, S. Ruj, R. Malaney, S.S. Kanhere, A. Seneviratne, W. Hu, H. Janicke, and S.K. Jha, “A survey of COVID-19 contact tracing apps,” IEEE Access, vol. 8, pp. 134577–134601, 2020.
  27.  S. Jeschke, C. Brecher, H. Song, and D. Rawat, “Industrial internet of things: Foundations, principles and applications,” Cham, Switzerland: Springer, pp. 1–715, 2017.
  28.  “Emf explained 2.0,” [Online]. Available: http://www.emfexplained.info/pol/?id=25916. Accessed: 2020-12-02.
  29.  Y. Sun, H. Song, A. J. Jara, and R. Bie, “Internet of things and big data analytics for smart and connected communities,” IEEE Access, vol. 4, pp. 766–773, 2016.
  30.  J. Zhang, E. Björnson, M. Matthaiou, D.W.K. Ng, H. Yang, and D.J. Love, “Prospective multiple antenna technologies for beyond 5G,” IEEE J. Sel. Areas Commun., vol. 38, no. 8, pp. 1637–1660, 2020.
  31.  Y. Siriwardhana, C. De Alwis, G. Gür, M. Ylianttila, and M. Liyanage, “The fight against the COVID-19 pandemic with 5G technologies,” IEEE Eng. Manage. Rev., vol. 48, no. 3, pp. 72–84, 2020.
  32.  K. Shafique, B.A. Khawaja, F. Sabir, S. Qazi, and M. Mustaqim, “Internet of Things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios,” IEEE Access, vol. 8, pp. 23022–23040, 2020.
  33.  M. Otoom, N. Otoum, M. A. Alzubaidi, Y. Etoom, and R. Banihani, “An iot-based framework for early identification and monitoring of COVID-19 cases,” Biomed. Signal Process. Control, vol. 62, p. 102149, 2020.
  34.  S. Jaafari, A. Alhasani, S.M. Almutairi et al., “Certain investigations on iot system for COVID-19,” in 2020 International Conference on Computing and Information Technology (ICCIT- 1441). IEEE, 2020, pp. 1–4.

Date

08.06.2021

Type

Article

Identifier

DOI: 10.24425/bpasts.2021.137414

Source

Bulletin of the Polish Academy of Sciences: Technical Sciences; 2021; e137414
×