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On an optimal testing strategy for workplace settings operating during the COVID-19 pandemic

https://doi.org/10.1101/2020.12.22.20248752
0 signed · 8 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/s1473-3099(20)30630-7openalex-snapshot
Comparison of molecular testing strategies for COVID-19 control: a mathematical modelling study
inferredcites →https://doi.org/10.1093/aje/kwaa080openalex-snapshot
Editorial: Making the Best Use of Test Kits for COVID-19
inferredcites →https://doi.org/10.1101/2020.05.21.20108522openalex-snapshot
Expanding Covid-19 Testing: Mathematical Guidelines for the Optimal Sample Pool Size Given Positive Test Rate
inferredcites →https://doi.org/10.1371/journal.pmed.1003346openalex-snapshot
Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: A living systematic review and meta-analysis
inferredcites →https://doi.org/10.2147/clep.s276825openalex-snapshot
Three Quarters of People with SARS-CoV-2 Infection are Asymptomatic: Analysis of English Household Survey Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1371/journal.pone.0285601openalex-snapshot
On the optimal presence strategies for workplace during pandemics: A COVID-19 inspired probabilistic model
inferred← citeshttps://doi.org/10.3390/ijerph18137129openalex-snapshot
Impact of Mass Workplace COVID-19 Rapid Testing on Health and Healthcare Resource Savings
inferred← citeshttps://doi.org/10.4018/978-1-7998-8626-6.ch005openalex-snapshot
Returning to the In-Person Workplace in a (Post?) Pandemic Context
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.