Authors:
Justin Junsay
;
Aaron Joaquin Lebumfacil
;
Ivan George Tarun
and
William Emmanuel Yu
Affiliation:
School of Science and Engineering, Ateneo de Manila University, Katipunan Avenue, Loyola Heights, Quezon City, Philippines
Keyword(s):
Big Data and the Web, Web Programming, Pandemic Management.
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.
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