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.
COVID-19; Internet of Everything; IoE privacy and security challenges; IoE solutions; pandemic; Health care; 'current; Health monitoring; High probability; Internet of everything privacy and security challenge; Internet of everything solution; Multi tasking; Privacy and security; Security challenges
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
Similar
MEDLINE
...
LILACS
LIS