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Demo Abstract: Implementing a COVID-19 Risk Assessment System for User-Informed Travel Planning in Harris County

Published: 09 May 2023 Publication History

Abstract

The COVID-19 pandemic has forced people worldwide to modify their daily activities, including travel plans. To help individuals make informed decisions about visiting public places, Cheng [2] first proposed a real-time COVID-19 risk assessment system called RT-CIRAM and implemented prototypes for two U.S. metropolitan locations. The system calculates a COVID-19 risk score and categorizes the risk levels into high, medium, and low, recommends the safe travel destination using the users’ location and the specified distance the user is willing to travel, thereby helping users make informed decisions about their travel plans.

References

[1]
Elisa Canzani and Ulrike Lechner. 2015. Insights from Modeling Epidemics of Infectious Diseases-A Literature Review.ISCRAM (2015).
[2]
Albert MK Cheng. 2021. Real-Time COVID-19 Infection Risk Assessment and Mitigation based on Public-Domain Data. In 2021 IEEE/ACM HPC for Urgent Decision Making (UrgentHPC). IEEE, 29–35.
[3]
Google. 2023. Place Autocomplete. https://developers.google.com/maps/documentation/places/web-service/autocomplete/
[4]
Harris County Public Health. 2021. Harris County / City of Houston COVID-19 Data Hub . https://covid-harriscounty.hub.arcgis.com/pages/cumulative-data
[5]
Matt J Keeling and Ken TD Eames. 2005. Networks and epidemic models. Journal of the royal society interface 2, 4 (2005), 295–307.
[6]
m wrzr. 2021. populartimes. https://github.com/m-wrzr/populartimes
[7]
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller. 2013. Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602 (2013).
[8]
Jude Nwankpa. 2023. RT-CIRAM-BACKEND. Retrieved January 8, 2023 from https://github.com/chukkie/RT-CIRAM-BACKEND
[9]
Jude Nwankpa. 2023. RT-CIRAM-FRONTEND. Retrieved January 8, 2023 from https://github.com/chukkie/RT-CIRAM-FRONTEND
[10]
Sebastián Ramírez. 2023. FASTAPI. https://github.com/tiangolo/fastapi
[11]
Meta Open Source. 2023. REACT. https://react.dev/
[12]
COVID Data Tracker. 2023. Center for Disease Control and Prevention. https://covid.cdc.gov/covid-data-tracker/datatracker-home/

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    cover image ACM Conferences
    IoTDI '23: Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation
    May 2023
    514 pages
    ISBN:9798400700378
    DOI:10.1145/3576842
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 09 May 2023

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    Author Tags

    1. COVID-19
    2. coronavirus
    3. mobile health

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