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


Zaw, Thein Oak Kyaw and Muthaiyah, Saravanan and Mohd Fathullah, Muhammad Afif and Jasbi, Ali (2022) Covid-19 Smart Contact Tracing Solution: A Process Methodology on Attribute Selection. In: 2022 10th International Conference on Information and Communication Technology (ICoICT), 2-3 August 2022, Bandung, Indonesia.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Contact Tracing Attributes, Contact Tracing Index, Covid-19
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD9000-9999 Special industries and trades
Divisions: Faculty of Management (FOM)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 15 Dec 2022 03:13
Last Modified: 15 Dec 2022 03:13


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