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Chung, Dongil
Decision Neuroscience & Cognitive Engineering Lab
Research Interests
  • Decision Neuroscience; Neuroimaging; Neuroeconomics; Decision-making; Social interaction

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Containment of COVID-19: Simulating the impact of different policies and testing capacities for contact tracing, testing, and isolation

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dc.contributor.author Fiore, Vincenzo G. ko
dc.contributor.author DeFelice, Nicholas ko
dc.contributor.author Glicksberg, Benjamin S. ko
dc.contributor.author Perl, Ofer ko
dc.contributor.author Shuster, Anastasia ko
dc.contributor.author Kulkarni, Kaustubh ko
dc.contributor.author O’Brien, Madeline ko
dc.contributor.author Pisauro, M. Andrea ko
dc.contributor.author Chung, Dongil ko
dc.contributor.author Gu, Xiaosi ko
dc.date.available 2021-04-29T07:48:50Z -
dc.date.created 2021-04-25 ko
dc.date.issued 2021-03 ko
dc.identifier.citation PLOS ONE, v.16, no.3, pp.e0247614 ko
dc.identifier.issn 1932-6203 ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/52792 -
dc.description.abstract Efficient contact tracing and testing are fundamental tools to contain the transmission of SARS-CoV-2. We used multi-agent simulations to estimate the daily testing capacity required to find and isolate a number of infected agents sufficient to break the chain of transmission of SARS-CoV-2, so decreasing the risk of new waves of infections. Depending on the non-pharmaceutical mitigation policies in place, the size of secondary infection clusters allowed or the percentage of asymptomatic and paucisymptomatic (i.e., subclinical) infections, we estimated that the daily testing capacity required to contain the disease varies between 0.7 and 9.1 tests per thousand agents in the population. However, we also found that if contact tracing and testing efficacy dropped below 60% (e.g. due to false negatives or reduced tracing capability), the number of new daily infections did not always decrease and could even increase exponentially, irrespective of the testing capacity. Under these conditions, we show that population-level information about geographical distribution and travel behaviour could inform sampling policies to aid a successful containment, while avoiding concerns about government-controlled mass surveillance. ko
dc.language 영어 ko
dc.publisher Public Library of Science ko
dc.title Containment of COVID-19: Simulating the impact of different policies and testing capacities for contact tracing, testing, and isolation ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-85103576019 ko
dc.type.rims ART ko
dc.identifier.doi 10.17605/OSF.IO/QF8WC ko
dc.identifier.url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247614 ko
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