Hyperlocal Risk Monitoring and Pandemic Preparedness
Hyperlocal Risk Monitoring and Pandemic Preparedness through Privacy-Enhanced Mobility and Social Interactions Analysis
Table of Contents
Description
This project develops a framework for hyperlocal risk monitoring and data-driven decision-making for pandemic preparedness. Such hyperlocal awareness can help governments and response officials at all levels with policy-making, e.g., opening in-person or online; closing or partially shutting down businesses; proactively reallocating medical supplies and medical workforces to more vulnerable areas, enabling better preparation and readiness for disease outbreaks. It can also benefit community members’ decision-making, e.g., avoiding high-risk areas. We use fine-grained mobility and social interactions data to better model infection spread. Furthermore, we use privacy-enhanced monitoring techniques to protect users’ privacy.
![example image](/assets/img/Picture2.png)
Related Publications
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Shaham, Sina and Ghinita, Gabriel and Shahabi, Cyrus Models and mechanisms for spatial data fairness, Proceedings of the VLDB Endowment, v.16, 2022.
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Shaham, Sina and Ghinita, Gabriel and Shahabi, Cyrus Differentially-Private Publication of Origin-Destination Matrices with Intermediate Stops, Proceedings of the 25th International Conference on Extending Database Technology (EDBT), 2022.
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Rambhatla, Sirisha and Zeighami, Sepanta and Shahabi, Kameron and Shahabi, Cyrus and Liu, Yan Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data, ACM Transactions on Spatial Algorithms and Systems, v.8, 2022.
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Wang, Chenyu and Lin, Zongyu and Yang, Xiaochen and Sun, Jiao and Yue, Mingxuan and Shahabi, Cyrus HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting, Proceedings of the AAAI Conference on Artificial Intelligence, v.36, 2022.
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Zaidi, Abbas and Ahuja, Ritesh and Shahabi, Cyrus Differentially Private Occupancy Monitoring from WiFi Access Points, 23rd IEEE International Conference on Mobile Data Management (MDM), 2022.
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Zeighami, Sepanta and Shahabi, Cyrus and Krumm, John Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling, Proceedings of the VLDB Endowment, v.14, 2021.
Software Artifacts
People
Students
![Sepanta Zeighami](/assets/img/people/sep.jpeg)
Sepanta Zeighami
CS PhD Student, USC
![Ritesh Ahuja](/assets/img/prev_people/ritesh.png)
Ritesh Ahuja
Graduated Aug/2022
![Kameron Shahabi](/assets/img/people/kameron.jpeg)
Kameron Shahabi
CS Undergrad. Student, USC
Colaborators
![Sepanta Zeighami](/assets/img/people/john.webp)
John Krumm
Viterbi School of Engineering, USC
![Gabriel Ghinita](/assets/img/people/gabriel.jpg)
Gabriel Ghinita
CSE, Hamad Bin Khalifa University
![Sina Shaham](/assets/img/prev_people/sina.png)
Sina Shaham
CS PhD Student, USC
Principal Investigator
![Cyrus Shahabi](/assets/img/people/cyrus.jpg)
Cyrus Shahabi
Viterbi School of Engineering, USC
Sponsors
![NIH](/assets/img/sponsors/nsf.png)