Digitalization against the new outbreak

Mezzour, Ghita; khadija, Mannane; Benhadou, Siham; Benhadou, Mariam; Medromi, Hicham

doi:10.1109/worlds450073.2020.9210333

Cited by 2 publications

(1 citation statement)

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“…Ghita et al. [28] elaborated the importance of digitalization against the new outbreak (COVID-19) and discussed the pandemic management phases such as prevention, preparedness, control, and responses using digitalization. The potential solution to encounter COVID-19 through digital twins includes AI solutions for sanitary crises, the digital economy, the smart supply chain transition, smart cities, and smart manufacturing.…”

Section: Introductionmentioning

confidence: 99%

A fog assisted intelligent framework based on cyber physical system for safe evacuation in panic situations

Sood

Rawat

2021

Computer Communications

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In the current scenario of the COVID-19 pandemic and worldwide health emergency, one of the major challenges is to identify and predict the panic health of persons. The management of panic health and on-time evacuation prevents COVID-19 infection incidences in educational institutions and public places. Therefore, a system is required to predict the infection and suggests a safe evacuation path to people that control panic scenarios with mortality. In this paper, a fog-assisted cyber physical system is introduced to control panic attacks and COVID-19 infection risk in public places. The proposed model uses the concept of physical and cyber space. The physical space helps in real time data collection and transmission of the alert generation to the stakeholders. Cyberspace consists of two spaces, fog space, and cloud-space. The fog-space facilitates panic health and COVID-19 symptoms determination with alert generation for risk-affected areas. Cloud space monitors and predicts the person’s panic health and symptoms using the SARIMA model. Furthermore, it also identifies risk-prone regions in the affected place using Geographical Population Analysis. The performance evaluation acknowledges the efficiency related to panic health determination and prediction based on the SARIMA with risks mapping accuracy. The proposed system provides an efficient on time evacuation with priority from risk-affected places that protect people from attacks due to panic and infection caused by COVID-19.

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Section: Introductionmentioning

confidence: 99%