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ORCIDAmira Roess
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- affiliation: George Mason University, VA, USA
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2020 – today
- 2024
[e4]Joon-Seok Kim, Taylor Anderson, Max S. Y. Lau, Amira Roess, Andreas Züfle:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology, SpatialEpi 2024, Atlanta, GA, USA, 29 October 2024- 1 November 2024. ACM 2024, ISBN 979-8-4007-1153-4 [contents]- 2023
- [c8]Emma Von Hoene
, Amira Roess, Shivani Achuthan, Taylor Anderson:
A Framework for Simulating Emergent Health Behaviors in Spatial Agent-Based Models of Disease Spread. GeoSim@SIGSPATIAL 2023: 1-9 - [c7]Emma Von Hoene, Amira Roess, Taylor Anderson:
A Data-Driven Decision-Making Framework for Spatial Agent-Based Models of Infectious Disease Spread (Short Paper). GIScience 2023: 76:1-76:7 - [e3]Taylor Anderson, Joon-Seok Kim, Amira Roess, Andreas Züfle:
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology, SpatialEpi 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - 2022
- [j2]Taylor Anderson, Joon-Seok Kim, Amira Roess, Andreas Züfle:
SpatialEpi'2022 Workshop Report: The 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology. ACM SIGSPATIAL Special 14(1): 28-31 (2022) - [c6]Minh Tri Le, David Attaway, Taylor Anderson, Hamdi Kavak, Amira Roess, Andreas Züfle:
PhyloView: A System to Visualize the Ecology of Infectious Diseases Using Phylogenetic Data. MDM 2022: 222-229 - [e2]Taylor Anderson, Amira Roess, Joon-Seok Kim, Andreas Züfle:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology, SpatialEpi 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9543-4 [contents] - 2021
- [j1]Janusz Wojtusiak, Pramita Bagchi, Sri Surya Krishna Rama Taraka Naren Durbha, Hedyeh Mobahi, Reyhaneh Mogharab Nia, Amira Roess:
COVID-19 Symptom Monitoring and Social Distancing in a University Population. J. Heal. Informatics Res. 5(1): 114-131 (2021) - [c5]Janusz Wojtusiak, Wejdan Bagais, Hedyeh Mobahi, Elina Guralnik, Amira Roess, Farrokh Alemi:
Do Clusters and Sequence of Symptoms Predict COVID-19 Test Results? AMIA 2021 - [c4]Samiul Islam, Dhruv Gandhi, Justin Elarde, Taylor Anderson, Amira Roess, Timothy F. Leslie, Hamdi Kavak, Andreas Züfle:
Spatiotemporal prediction of foot traffic. LocalRec@SIGSPATIAL 2021: 2:1-2:8 - [c3]Anita Tadakamalla, Paul McKerley, Alexander Brodsky, Amira Roess:
A Decision Guidance System for COVID-19 Comprehensive Mitigation with Pareto-Optimal Health, Cost and Productivity Outcomes. ICHI 2021: 270-279 - [c2]Janusz Wojtusiak, Ying Wang, Varalakshmi Vakkalagadda, Farrokh Alemi, Amira Roess:
Using Wi-Fi Infrastructure to Predict Contacts During Pandemics. ICHI 2021: 347-356 - [c1]Alexander Brodsky, Anita Tadakamalla, Shiri Brodsky, Amira Roess:
Toward COVID-19 Decision Support: Modeling of Transmission Dynamics Extended with a Comprehensive Mitigation Protocol to Predict Health, Cost and Productivity Outcomes. SMC 2021: 52-59 - [e1]Taylor Anderson, Jia Yu, Amira Roess, Hamdi Kavak, Joon-Seok Kim, Andreas Züfle:
SpatialEpi@SIGSPATIAL 2021: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology (SpatialEpi 2021), Beijing, China, 2 November 2021. ACM 2021, ISBN 978-1-4503-9119-1 [contents]
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