A Website with an Activity based Traffic Indicator System as a Warning Tool for the COVID-19 Pandemic

Justin Junsay, Aaron Lebumfacil, Ivan Tarun, William Yu

2021

Abstract

This study describes an activity based traffic indicator system to provide information for the management of the COVID-19 pandemic. The purpose of the indicator is to be able to discern what activities (e.g., grocery shopping and sports) are dangerous, uncertain, or safe to do in the Philippines on a per-region basis through a traffic light’s color of red, yellow, and green. The activity based traffic indicator system does this by utilizing a social probability model based on the birthday paradox to determine the exposure risk which is the probability of meeting someone infected (PoMSI). Additionally, a website called SANITTISE was created to host the indicator system and also to display other pandemic related graphs. Furthermore, a user interface/user experience (UI/UX) test was conducted through a survey to measure the effectiveness of the website created. Regarding the results of the test, it was positive since all of the sections were well received in the survey. This meant that the work done on the website appears substantial as the respondents were able to understand the contents and purpose of the website and also effectively traverse the website and create deductions from the information available on the website.

Paper Citation

in Harvard Style

Junsay J., Lebumfacil A., Tarun I. and Yu W. (2021). A Website with an Activity based Traffic Indicator System as a Warning Tool for the COVID-19 Pandemic. In Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-536-4, pages 250-256. DOI: 10.5220/0010648700003058

in Bibtex Style

@conference{webist21,
author={Justin Junsay and Aaron Lebumfacil and Ivan Tarun and William Yu},
title={A Website with an Activity based Traffic Indicator System as a Warning Tool for the COVID-19 Pandemic},
booktitle={Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2021},
pages={250-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010648700003058},
isbn={978-989-758-536-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - A Website with an Activity based Traffic Indicator System as a Warning Tool for the COVID-19 Pandemic
SN - 978-989-758-536-4
AU - Junsay J.
AU - Lebumfacil A.
AU - Tarun I.
AU - Yu W.
PY - 2021
SP - 250
EP - 256
DO - 10.5220/0010648700003058