@inproceedings{44efbf7454fd4e8ca66715689a32dc43,
title = "On the Role of Asymptomatic Carriers in Epidemic Spread Processes",
abstract = "We present an epidemiological compartment model, SAIR(S), that explicitly captures the dynamics of asymptomatic infected individuals in an epidemic spread process. We first present a group model and then discuss networked versions. We provide an investigation of equilibria and stability properties for these models, and present simulation results illustrating the effects of asymptomatic-infected individuals on the spread of the disease. We also discuss local isolation effects on the epidemic dynamics in terms of the networked models. Finally, we provide initial parameter estimation results based on simple least-squares approaches and local test-site data.",
keywords = "Epidemic dynamics, data-informed modeling, networks, parameter estimation, stability analysis",
author = "Xiaoqi Bi and Beck, {Carolyn L.}",
note = "Our ongoing efforts include pursuing approaches for model parameter estimation under non-random and missing-sample data sets, and investigating Bayesian statistical approaches for estimating true prevalence of epidemics under biased information. ACKNOWLEDGMENTS The authors would like to thank Sam Dekhterman for data collection, and Dr. Joseph Kim, M.D., Ph.D., for many useful and interesting discussions, and for providing informative references. This work has been supported in part by Jump-ARCHES endowment through the Health Center for Engineering Systems Center at the University of Illinois, Urbana-Champaign, the C3.ai Digital Transformation Institute, and the NSF grant ECCS-2032321.; 2021 American Control Conference, ACC 2021 ; Conference date: 25-05-2021 Through 28-05-2021",
year = "2021",
month = may,
day = "25",
doi = "10.23919/ACC50511.2021.9483337",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3164--3169",
booktitle = "2021 American Control Conference, ACC 2021",
address = "United States",
}