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Covidscreen

A web app and R Package for assessing asymptomatic Covid-19 testing strategies

Bibliographic Data

ID15359166
AuthorsJesse Smith (0000-0003-2221-2306, St. Jude Children's Research Hospital, corresponding author), Jesse A Smith (0000-0002-1847-8702), Yilun Sun (0000-0003-1905-9216, St. Jude Children's Research Hospital), Diego R Hijano (0000-0002-2903-666X, St. Jude Children's Research Hospital), James M Hoffman (0000-0002-2625-7766, St. Jude Children's Research Hospital), Hana Hakim (0000-0001-7146-5452, St. Jude Children's Research Hospital), Richard J Webby (0000-0002-4397-7132, St. Jude Children's Research Hospital), Randall T Hayden (0000-0002-3073-4115, St. Jude Children's Research Hospital), Aditya H Gaur (0000-0002-6639-5231, St. Jude Children's Research Hospital), Gregory T Armstrong (0000-0001-8722-4207, St. Jude Children's Research Hospital), Motomi Mori (0000-0003-1390-4917, St. Jude Children's Research Hospital), Li Tang (0000-0001-8311-2507, St. Jude Children's Research Hospital)
Year2022
Volume22
Issue1
Pages1361-1361
Publication date2022-07-15
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-022-13718-4
PMID35840948
OpenAlexW4285492608
LanguageEN
References cited11

As the COVID-19 pandemic continues to evolve, covidscreen can assist organizations in making informed decisions about whether to incorporate covid test based screening as part of their on-campus risk-mitigation strategy. The web application, R package, and source code are freely available online (see "Availability of data and materials")

2019-20 coronavirus outbreak · Asymptomatic · Biostatistics · Coronavirus disease 2019 (COVID-19 · Infectious disease (medical specialty · Pathology · Public health · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · COVID-19 diagnosis using AI · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Medicine · Internal Medicine · Virology

  • Real-time, interactive website for US-county-level Covid-19 event risk assessment

    Open Access•Aroon Chande, Seolha Lee et al.•Nature Human Behaviour•2020

Highly citedNo

Tools

Open DOIOpen Access
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