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Research Article Open access CC BY 4.0

Information-Based Mobile Application to Tackle COVID-19 Circumstances

Sakhawat Hossain, Md. Nahid Hasan, Md. Nazibul Islam, Mamunur Rashid Mukto, Md. Shahnewaz Abid, Fahima Khanam

Journal of Scientific Research and Reports · pp. 78–92 · Published 4 Feb 2021

10.9734/jsrr/2021/v27i130351

Abstract

Internet of Medical Things (IoMT) ensures the ability of healthcare professionals by allowing them to remotely access each patient’s personalized and accurate data. The accuracy, as well as the speed of treatments and diagnosis, is greatly improved as well. IoMT also enables healthcare professionals to monitor the status of their patients’ health in real-time. The behavior of people can be recorded with the intent of getting an online diagnosis, thus managing their one’s health is more effective. Tools like sensors and tracking devices, telemedicine, remote patient monitoring (RPM) and also virtual assistance makes these things happen. Perhaps healthcare professionals are mostly benefited by IoMT in their professions. So, in the case of a pandemic (COVID-19), our proposed application can spread the facilities of IoMT among the general people. The main purpose of this application is to make a system that compresses the number of coronavirus affected people by the extent of awareness. People can track data of confirmed, recovered, and fatal cases globally and locally through this app. People can also get information about the nearest COVID-19 hospitals with google map and get their helpline numbers. All these can be very important for Bangladesh, being a developing country. They can easily make doctor appointments through the system. People can get information about plasma & blood donation and they also can donate their blood and plasma by a requesting process. Users' information about their health can be saved in the cloud system from time to time so that a doctor can easily get all the information. So, our proposed app can help to control the COVID-19 pandemic situation and people will be benefited.

COVID-19 coronavirus mHealth IOMT RPM FAQ COVID myth buster.

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Cited by 2

A Crowdsourced Contact Tracing Model to Detect COVID-19 Patients using Smartphones

Linta Islam, Mafizur Rahman, Nabila Ahmad · International Journal on Advanced Science, Engineering and Information Technology · 2021

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