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Checking COVID-19 transmission using IoT

  • Madhusmita Rout
  • , Preety Sthutika Swain
  • , Sunita Panda
  • , Sanghamitra Pati
  • , Budheswar Dehury
  • , Farheen Asaf

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This book chapter discusses how the Internet of Things (IoT) can revolutionize healthcare and help battle the COVID-19 pandemic. It highlights the IoT technologies that can be useful in healthcare during the pandemic and identifies potential fundamental IoT applications in the medical industry. The chapter emphasizes that the IoT is a promising technology that can provide better solutions in the medical field, including medical record-keeping, sample and device integration, and disease diagnosis. By leveraging the sensor-based technology of the IoT, healthcare professionals can reduce the risk of intervention in challenging circumstances, particularly during the COVID-19 pandemic. The IoT can help doctors identify changes in vital parameters of COVID-19 patients, leading to better diagnosis and treatment. Additionally, the IoT can enhance medical education and provide new opportunities to improve hospital treatment systems. Overall, the IoT can improve the overall healthcare performance during the COVID-19 pandemic and beyond. The development of IoT can help in predicting and preparing for future pandemics by utilizing statistical methodologies and integrating with artificial intelligence and Big Data. In the future, IoT could play a crucial role in transitioning healthcare from a reactive system to a proactive one.

Original languageEnglish
Title of host publicationDiagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques
PublisherElsevier
Pages347-369
Number of pages23
ISBN (Electronic)9780323953740
ISBN (Print)9780323953733
DOIs
Publication statusPublished - 01-01-2024

All Science Journal Classification (ASJC) codes

  • General Immunology and Microbiology

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