The COVID-19 pandemic has had a huge impact on hospital systems, businesses, schools, and the economy. Telemedicine, telework, and online education are becoming increasingly important in assisting society in slowing the spread of the coronavirus. The pandemic has increased the necessity for measures to deploy breakthrough technologies to deal with the effects of COVID-19 on our lives.
Certain innovative technological applications, such as mobile COVID-19 contact tracing apps, and chatbots, have recently been developed to combat the threats and risks posed by COVID-19. The application of these technologies can help to minimize the effects of the coronavirus pandemic on individuals, organizations, and society. The effective and innovative use of emerging technologies can help in identifying the community spread of the coronavirus, monitoring the wellbeing of infected patients, improving COVID-19 treatment, and assisting in the development of medical treatments and vaccines.
Machine learning, image recognition, and deep learning algorithms powered by artificial intelligence (AI) can be used for early detection and diagnosis of infections, faster drug discovery for generating novel medicines, social distancing enforcement, and contact tracing.
Mobile apps and video-conferencing tools can be used to track people’s activities, warn them about COVID-19 hotspots, help doctors diagnose patients through video services and telemedicine, and help people with online shopping, e-learning, online meetings, and telework.
IoT can be used to monitor people who are infected with coronavirus to reduce the virus’s spread. The Internet of Things is made up of numerous functional components, such as data collection, transmission, analytics, and storage. IoT sensors mounted on mobile phones, robotics, or health monitors can collect data. The sensor data would then be transferred to a cloud server for processing, analytics, and decision-making. IoT can help determine whether patients follow quarantine regulations. IoT can also be used to take remote patients’ temperatures, SpO2 Levels, Respiration Rates, and Coloration of eyes and then transmit the data to clinicians via mobile devices to monitor, track, and notify while lowering the risk of coronavirus infection.