@inproceedings{1167e8d814dd461e900fc5921ba7817a,
title = "Invited Paper: The Case for Small-Scale, Mobile-Enhanced COVID-19 Epidemiology",
abstract = "Our understanding of COVID-19 pandemic epidemiology has many gaps, with many challenges arising on a global scale. This paper looks at the problem at a smaller geographical scale, the extent of the campus of a large organization. Equipped with an asymptomatic testing program and rough location data from the campus wireless network, we make the case that epidemiological models may be informed from this new source of data, which offers fidelity at the temporal resolution of seconds and spatial resolution of a Wi-Fi cell size, in particular for the tasks of pinpointing clusters of cases and contexts of infection transmission. We sketch the design of a system that fuses the two foregoing information streams and explain how the result can be incorporated into standard epidemiological models of communicable disease, both for better parameter estimation in elementary models, as well as for providing spatial inputs into more sophisticated models. We conclude with logistical and privacy considerations we have encountered in an associated ongoing study, to inform similar efforts at other organizations. ",
keywords = "COVID-19, SARS-CoV-2, WiFi, contact tracing, epidemiology, privacy",
author = "Fan Yi and Yaxiong Xie and Kyle Jamieson",
note = "Funding Information: This work is supported by an award from the Office of the Princeton University Dean for Research and an NSF RAPID award (CNS-2027647). This material is, in part, based upon data provided by Princeton University. The views expressed herein are those of the authors and do not necessarily reflect the position or policy of Princeton University. The associated study at Princeton University has been reviewed and approved by the University IRB (13152-04) and NIH Certificate of Confidentiality CC-OD-20-1182 was issued to the University on November 19, 2020. We acknowledge many insightful discussions with our study co-Investigators Dr. Irini Daskaliki, Prof. Bryan Grenfell, and Prof. C. Jessica Metcalfe. Publisher Copyright: {\textcopyright} 2021 IFIP.; 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks, WiOpt 2021 ; Conference date: 18-10-2021 Through 21-10-2021",
year = "2021",
month = oct,
day = "18",
doi = "10.23919/WiOpt52861.2021.9589290",
language = "English (US)",
series = "2021 19th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 19th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2021",
address = "United States",
}