About: Modeling COVID-19 Spread in Small Colleges

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Modeling COVID-19 Spread in Small Colleges
Creator	Keesing, Felicia Bahl, Riti Eikmeier, Nicole Fraser, Alexandra Junge, Matthew
source	ArXiv
abstract	We develop an agent-based model on a network meant to capture features unique to COVID-19 spread through a small residential college. We find that a safe reopening requires strong policy from administrators combined with cautious behavior from students. Strong policy includes weekly screening tests with quick turnaround and halving the campus population. Cautious behavior from students means wearing facemasks, socializing less, and showing up for COVID-19 testing. We also find that comprehensive testing and facemasks are the most effective single interventions, building closures can lead to infection spikes in other areas depending on student behavior, and faster return of test results significantly reduces total infections.
has issue date	2020-08-21(xsd:dateTime)
has license	arxiv
sha1sum (hex)	4b59c264d580be1c58dddd1d1c7a1481e94a0198
resource representing a document's title	Modeling COVID-19 Spread in Small Colleges
resource representing a document's body	covid:4b59c264d580be1c58dddd1d1c7a1481e94a0198#body_text
is schema:about of	named entity 'INFECTIONS' named entity 'infection' named entity 'COVID-19' named entity 'dorm room' named entity 'contact tracing' »more»

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