Empowering elderly care with intelligent IoT-Driven smart toilets for home-based infectious health monitoring.

The COVID-19 pandemic highlights the need for effective and non-intrusive methods to monitor the well-being of elderly individuals in their homes, especially for early detection of potential viral infections. Conspicuously, the present paper develops a Multi-scaled Long Short Term Memory (Ms-LSTM) model for the routine health monitoring of elderly patients to detect COVID-19. The proposed method offers home-based health diagnostics through urine analysis by leveraging the IoT-Fog-Cloud paradigm.

ICT in disaster management context: a descriptive and critical review.

Disasters cause catastrophic events that lead to fatalities, damage, and social disturbance. Hydrological and meteorological disasters have an enormous impact worldwide. The impact of IT (Information Technology) in managing these disasters has been neglected.

A visual review of artificial intelligence and Industry 4.0 in healthcare.

The COVID-19 outbreak has led to a substantial loss of human life throughout the world and has a tremendous impact on healthcare services. Industry 4.0 technologies have established effective supply chain management towards the fulfillment of customized demands in the healthcare field.

Analytical mapping of information and communication technology in emerging infectious diseases using CiteSpace.

The prevalence of severe infectious diseases has become a major global health concern. Currently, the COVID-19 outbreak has spread across the world and has created an unprecedented humanitarian crisis. The proliferation of novel viruses has put traditional health systems under immense pressure and posed several serious issues.

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

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.

A scientometric analysis of ICT-assisted disaster management.

In recent years, natural and manmade disasters such as floods, earthquakes, wildfires, and tsunamis have occurred with human losses and environmental deterioration. Henceforth, to reduce the damage caused by these catastrophic events, the administration and government need to track victims and perform synchronized relief efforts on time at the disaster sites. The promising technologies of Internet communication technology (ICT), like the Internet of things, cloud computing, and data analytics, can assist various phases of disaster management.