Covid-19 Smart Contact Tracing Solution: A Process Methodology on Attribute Selection

Contact tracing technique have been very useful in determining proximity that can be used to successfully curb or prevent further spread of disease during a pandemic. In this paper, we investigated how contact tracing will perform better if proper attribute selection is determined beforehand for Covid-19 pandemic. In accordance to the smart contact tracing concept, the more accurate the attributes, the better the contact tracing solution. The process methodology that we conducted are of two parts: (1) Systematic Literature Review (SLR) and (2) Delphi methodology utilizing Problem, Intervention, Comparison and Outcome (PICO) framework. Upon integrating the views of the experts and review of literature, the output for a comprehensive smart contact tracing Index has been introduced as our contribution. © 2022 IEEE.

E-Commerce beyond the Pandemic Coronavirus: Click and Collect Food Ordering

Online platforms have become a focus nowadays as an instrument to help expedite some daily routines such as e-commerce including food ordering, online banking, social networking, and many more. Food ordering through online platforms, for instance, have evolved due to the growing numbers of users of digital platforms, restaurant-goers, and many more. The recent pandemic of coronavirus has changed the scenario of brick-and-mortar businesses while most governments forced to shut down and impose strict regulations of lockdown and social distancing among citizens. Although this situation hit most businesses, statistics have shown there is an increasing amount of E-Commerce spending globally. There has been several commercial systems and studies in the market and literature related to food ordering platforms and processes discussed in the study. However, most systems focusing on order-to-delivery and imposed a higher price for delivery. This study introduces an O2O food ordering concept aiming the takeout customers segment and targeting to optimised orders that can be made in advanced and on-the-go. The concept generates models of a new O2O and distance food ordering for potential E-Commerce implementations. Out of the models, process improvement is analysed and suggest that customers would save time, effort, and able to maintain social distancing among citizens. The models can be generalised to be implemented in various industries and situations, depending on in-depth analysis that would be carried out in future studies. © Published under licence by IOP Publishing Ltd.