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- W3204605723 abstract "Extant pandemic detection and prevention strategies are based around contact tracing technologies. In contrast, this manuscript describes a strategy for preemptive pandemic response based on wearable devices with built-in privacy, based on distributed, encrypted and anonymized contact chains. We evaluate such strategy in an agent-based simulation environment that models a wearable-device equipped population in an urban area, comparing it with no response strategy, and with the extant contact-tracing approaches. Our results suggest contact-chaining is an effective way to augment pandemic response, by preemptively isolating persons who are potentially infectious; initial results indicate up to a 23.4% reduction in peak infections compared to the strictest extant approach. Simulations show that this strategy is especially effective during a first wave and can potentially prevent further infection waves. Ongoing work is looking at the privacy issues of such an approach and modeling countermeasures within our simulation framework." @default.
- W3204605723 created "2021-10-11" @default.
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- W3204605723 date "2021-07-19" @default.
- W3204605723 modified "2023-09-27" @default.
- W3204605723 title "Modeling Pandemic Response for Populations Equipped with Contact-Chain Capable Wearable Devices" @default.
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- W3204605723 doi "https://doi.org/10.23919/annsim52504.2021.9552132" @default.
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