On the public citation graph

Efficient Prevalence Estimation and Population Screening for SARS-CoV-2

https://doi.org/10.1101/2020.05.18.20105882

0 signed · 10 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.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/sim.6964openalex-snapshot

Estimating the prevalence of multiple diseases from two‐stage hierarchical pooling

inferredcites →https://doi.org/10.1080/00031305.1998.10480550openalex-snapshot

Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions

inferredcites →https://doi.org/10.1093/biomet/asr064openalex-snapshot

Optimality of group testing in the presence of misclassification

inferredcites →https://doi.org/10.1093/cid/ciaa531openalex-snapshot

Evaluation of COVID-19 RT-qPCR Test in Multi sample Pools

inferredcites →https://doi.org/10.1111/j.1365-2915.2012.01015.xopenalex-snapshot

Estimating the prevalence of infections in vector populations using pools of samples

inferredcites →https://doi.org/10.25561/77482openalex-snapshot

Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand

inferredcites →https://doi.org/10.32614/cran.package.binomopenalex-snapshot

binom: Binomial Confidence Intervals for Several Parameterizations

inferredcites →https://doi.org/10.32614/cran.package.prevalenceopenalex-snapshot

prevalence: Tools for Prevalence Assessment Studies

inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot

R: A Language and Environment for Statistical Computing

What points at this work

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

inferred← citeshttps://doi.org/10.1097/jom.0000000000002049openalex-snapshot

Considerations for Pooled Testing of Employees for SARS-CoV-2

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.