PropertyValue
?:abstract
  • BACKGROUND: Internationally, key workers such as healthcare staff are advised to stay at home if they or household members experience coronavirus disease 2019 (COVID-19)–like symptoms. This potentially isolates/quarantines many staff without SARS-CoV-2, while not preventing transmission from staff with asymptomatic infection. We explored the impact of testing staff on absence durations from work and transmission risks to others. METHODS: We used a decision-analytic model for 1000 key workers to compare the baseline strategy of (S0) no RT-PCR testing of workers to testing workers (S1) with COVID-19–like symptoms in isolation, (S2) without COVID-19–like symptoms but in household quarantine, and (S3) all staff. We explored confirmatory re-testing scenarios of repeating all initial tests, initially positive tests, initially negative tests, or no re-testing. We varied all parameters, including the infection rate (0.1–20%), proportion asymptomatic (10–80%), sensitivity (60–95%), and specificity (90–100%). RESULTS: Testing all staff (S3) changes the risk of workplace transmission by −56.9 to +1.0 workers/1000 tests (with reductions throughout at RT-PCR sensitivity ≥65%), and absences by −0.5 to +3.6 days/test but at heightened testing needs of 989.6–1995.9 tests/1000 workers. Testing workers in household quarantine (S2) reduces absences the most by 3.0–6.9 days/test (at 47.0–210.4 tests/1000 workers), while increasing risk of workplace transmission by 0.02–49.5 infected workers/1000 tests (which can be minimized when re-testing initially negative tests). CONCLUSIONS: Based on optimizing absence durations or transmission risk, our modeling suggests testing staff in household quarantine or all staff, depending on infection levels and testing capacities.
?:creator
?:doi
?:doi
  • 10.1093/cid/ciaa901
?:journal
  • Clin_Infect_Dis
?:license
  • no-cc
?:pdf_json_files
  • document_parses/pdf_json/c5f8ee601cc236a880c76c77355c7689acbf0216.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7454477.xml.json
?:pmcid
?:pmid
?:pmid
  • 32634823.0
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • Medline; PMC
?:title
  • Optimizing Benefits of Testing Key Workers for Infection with SARS-CoV-2: A Mathematical Modeling Analysis
?:type
?:year
  • 2020-07-07

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