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- W4318690816 abstract "<sec> <title>BACKGROUND</title> The Internet of Things (IoT) functions through a wireless medium and holds the capability of transmitting data over the network without the considerable need for human interaction. The Covid-19 pandemic outbreak has transformed the functioning of healthcare centers and other associated circles. The remnants of the Covid-19 pandemic outbreak, like long Covid or post- Covid-19 syndrome, have necessitated the need to observe, detect and control specific healthcare fields to save lives. Because of this, these centers put in great effort and spent considerable resources on developing portable, cost-effective, and user-friendly IoT. The IoT-based systems can help continuously survey the population to detect any variants of the Covid-19 virus and to gather specific patient data in categorizing post-Covid-19 syndrome patients. This paper discusses the applications of IoT during a pandemic and post-pandemic too. </sec> <sec> <title>OBJECTIVE</title> This paper discusses the applications of IoT during a pandemic and post-pandemic too. </sec> <sec> <title>METHODS</title> The study also proposes a model based on IoT for handling population surveys during the present post-pandemic situation. </sec> <sec> <title>RESULTS</title> The Internet of Things concept is a revolutionary technological advancement closely linked with the wave of the ICT revolution. IoT assists the PHS technology in providing earlier and safer preventive care with minimum medical costs, better patient-oriented exercise, and greater sustainability. </sec> <sec> <title>CONCLUSIONS</title> IoT has allowed PHS to have the ability to improve daily lives in many revolutionarily different ways. </sec> <sec> <title>CLINICALTRIAL</title> n/a </sec>" @default.
- W4318690816 created "2023-02-01" @default.
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- W4318690816 date "2023-01-24" @default.
- W4318690816 modified "2023-09-27" @default.
- W4318690816 title "Internet of Things in the Post-Pandemic World (Preprint)" @default.
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- W4318690816 doi "https://doi.org/10.2196/preprints.45964" @default.
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