A novel approach for COVID-19 outbreak spread monitoring and control using smart grid technology

Autor: Dari, El Yazid, Bendahmane, Ahmed, Essaaidi, Mohamed
Zdroj: International Journal of Security and Networks; 2021, Vol. 16 Issue: 2 p112-116, 5p
Abstrakt: The novel coronavirus SARS-COV-2 was discovered in November 2019, in China. On March, 2020, the WHO announced that COVID-19 could be characterised as a pandemic (WHO, 2020a). Then, it was rapidly spread from China to others countries. Coronavirus disease, COVID-19, is a viral infection that generates a severe acute respiratory syndrome with serious clinical symptoms given by such as fever, dry cough, and pneumonia (Kucharski et al., 2020). In addition, this virus is so widespread among people and it is difficult to control. To fight the rapid spread of new diseases like COVID-19, the support of technologies such as AI, big data, and IoT has proved to be very useful and provides better pandemic spread control tools. In this paper, we propose to leverage smart grid technology to detect COVID-19 cases clusters, to accelerate pandemic remote monitoring, and to predict probable virus future spread by collecting and analysing retrieved data.
Databáze: Supplemental Index