A Review on Machine Learning Approaches in COVID-19 Pandemic Prediction and Forecasting

Novel COVID-19 Coronavirus disease, namely SARS-CoV-2, is a global pandemic and has spread to more than 200 countries. The sudden rise in the number of cases is causing a tremendous effect on healthcare services worldwide. To assist strategies in containing its spread, machine learning (ML) has been employed to effectively track the daily infected and mortality cases as well as to predict the peak growth among the states or/and country-wise. The evidence of ML in tackling previous epidemics has encouraged researchers to reciprocate with this outbreak. In this paper, recent studies that apply various ML models in predicting and forecasting COVID-19 trends have been reviewed. The development in ML has significantly supported health experts with improved prediction and forecasting. By developing prediction models, the world can prepare and mitigate the spread and impact against COVID-19. © 2022 UPM Press. All rights reserved.

Physical Distancing and Temperature Sensing Bracelet

The world is enduring difficulties in numerous fields because of this Coronavirus pandemic flare-up. All government had played it safe to forestall the infection transmission, for example, rehearsing social distancing and temperature checking before entering any preface just as declaring a lockdown. Notwithstanding, the 1-meter distance is not straightforward to estimate by unaided eyes, and it is difficult to carry along a meter rule regularly. Subsequently, inadvertently connect with others. Therefore, this would build our danger of getting contaminated by the COVID-19 infection. Moreover, the thermometer put at each person’s passageway has the threat of causing disease since numerous individuals share it. Regardless of whether a specialist is appointed to quantify guests’ temperature, the person does not have the option to keep up the guest’s social distance when taking temperature. In this research, a sensing bracelet proposed to determine physical distancing and temperature. The bracelet has two fundamental capacities. It can continually screen distance among client and others utilising a sensor. It will warn the client to keep up social distancing and avoid swarmed places when it distinguishes individuals under 1 meter. Second, it has a temperature sensor to determine the client’s internal heat level and will ring to caution the client if the internal heat level is more than 37.5°C. The experiment conducted able to achieve the requirement for a physical distancing.