IoT for Fight Against COVID-19

ABSTRACT

An emerging technology Internet of things is the backbone for better solution in medical science research, COVID infected sampling analysis, and device integration process. 2020 may be a year of healing not only for our mother earth, but for mankind too. It is a year of change and practice to develop ourselves against adversities. Due to the recent pandemic caused by COVID-19, many lives were affected. COVID-19 has created an adverse effect on the economy, education, mental health, and physical health of humans. It has been witnessed that despite lockdown, the death rate has increased. From several statistics, it can be observed that populations with less immunity have a higher mortality rate. This study has been performed to make a checkpoint on the factors which may be responsible for determining immunity level and based on that a prediction model may be prepared using a machine learning algorithm. This proposed work employs an IoT application to collect real-time symptom data from users to identify suspected coronavirus symptoms. IoT's sensor-based mechanism adopts for enhance capability of risk minimization specially in surgery cases compilation for COVID-19 type pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.