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Current COVID-19 Analysis and Future Pandemics Prediction using Internet of Everything (IoE)
1st International Conference on Advances in Computing and Future Communication Technologies, ICACFCT 2021 ; : 231-236, 2021.
Article in English | Scopus | ID: covidwho-2018769
ABSTRACT
Internet of the Everything (IoE) along with different technologies like Cloud and Arduino UNO is of great use throughout the disaster. We have used the MLX90614 Sensor to send the temperature of the person on the cloud with the help of Arduino UNO. This sensor can assist in discovering all of the humans who have come into touch with the infected people. This IoE generation is also useful in tracking sufferers. For those who are having a high probability of getting infected, their information can be supplied to the healthcare workforce to take further action. The COVID-19 epidemic can be controlled by IoE-stimulated frameworks. IoE answers at the side of far-flung health monitoring. If the disease is found in a suspected person then this information is passed through IoE to the health care team. IoE technology which is used here can be a fantastic way to control epidemics. Here we have maintained the privacy and protection issues in our project. IoE is very well analyzed with growing requirements and for multi-tasking practices. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 1st International Conference on Advances in Computing and Future Communication Technologies, ICACFCT 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 1st International Conference on Advances in Computing and Future Communication Technologies, ICACFCT 2021 Year: 2021 Document Type: Article