COVID-19 PANDEMIC: Monitoring Technologies, Healthcare and Panic buying behaviour

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COVID-19 is an infectious disease that has become the biggest threat in the year 2020 so far. It has dramatically changed the human life and the world economy. The world has traumatized by the terrifying effect of this virus. Not only the underdeveloped countries but also the most developed countries across the world, USA, Italy, Spain, Germany, to name of few, have witnessed the devastating effect of this lethal virus.


Therefore, understanding the risk and management of this group of people is important for effective intervention and reducing the number of cases and fatality. In spite of this, COVID-19 imposes a heavy burden and costs on the health sector, and consequently, providing continuous monitoring by modern technologies will lead to a reduction of health costs and improve control of people's health practices, management, and prevention of this pandemic. Employing the mobile and advanced health systems to offer a remote medical diagnosis and monitoring system will significantly reduce the cost of health care and appropriate management of performance, especially in managing and spreading COVID-19.


This book explores the effect of COVID-19 on human health in three essential cores: medically, technologically, and economically. The Internet of Things (IoT) and Artificial Intelligence (AI) includes three principal methods: monitoring, diagnosis, and treatment were discussed. IoT could achieve long-term connectivity between hospitals, patients, and healthcare equipment by integrating sensors, information technology, artificial intelligence, and innovative networking devices, which could significantly enhance current medical conditions.


This book also provides a theoretical comparison between normal buying behaviour and panic buying behaviour. Subsequently, it explains the reasons for this behaviour. Not only reasons, but the book also classified products based on this consumer buying pattern during this pandemic. The book ends with a case study on the implementation of the AI algorithms in Malaysia and the achieved results were presented accordingly with a remarkable conclusion.

 

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