Citation

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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Abstract

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
URII:	http://shdl.mmu.edu.my/id/eprint/10755

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