Evidence map›Paper›PMID 38455914›Full record

ArticleFrontiers in epidemiology2023

The Coronavirus Calendar (CoronaCal): a simplified SARS-CoV-2 test system for sampling and retrospective analysis.

Manija A Kazmi, David S Thaler, Karina C Åberg, Jordan M Mattheisen, Thomas Huber, Thomas P Sakmar

Open access · diamondAbstract read
In one paragraph

Article in Frontiers in epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Manija A Kazmi *Laboratory of Chemical Biology and Signal Transduction, The Rockefeller University, New York, NY, United States.
David S Thaler *Laboratory of Chemical Biology and Signal Transduction, The Rockefeller University, New York, NY, United States.
Karina C Åberg *Laboratory of Chemical Biology and Signal Transduction, The Rockefeller University, New York, NY, United States.
Jordan M MattheisenLaboratory of Chemical Biology and Signal Transduction, The Rockefeller University, New York, NY, United States.
Thomas HuberLaboratory of Chemical Biology and Signal Transduction, The Rockefeller University, New York, NY, United States.
Thomas P SakmarLaboratory of Chemical Biology and Signal Transduction, The Rockefeller University, New York, NY, United States.
Rockefeller University · USTri-Institutional PhD Program in Chemical Biology · USUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To develop a biological diary (CoronaCal) that allows anyone in the community to collect and store serial saliva samples and chart symptoms on ordinary printer paper. Methods: Diaries were analyzed for the presence of SARS-CoV-2 RNA using established polymerase chain reaction (PCR) procedures. CoronaCal diaries were distributed to volunteer subjects in the community during the peak of the COVID-19 outbreak in New York. Volunteers collected their own daily saliva samples and self-reported symptoms. Results: SARS-CoV-2 RNA extracted from CoronaCals was measured using qPCR and RNA levels were correlated with reported symptoms. SARS-CoV-2 RNA was detected in CoronaCals from nine of nine people with COVID-19 symptoms or exposure to someone with COVID-19, and not in one asymptomatic person. CoronaCals were stored for up to 70 days at room temperature during collection and then frozen for up to four months before analysis, suggesting that SARS-CoV-2 RNA is stable once dried onto paper. Conclusions: Sampling saliva on simple paper provides a useful method to study the natural history and epidemiology of COVID-19. The CoronaCal collection and testing method is easy to implement, inexpensive, non-invasive and scalable. The approach can inform the historical and epidemiological understanding of infections in individuals and populations.

Indexed as

COVID-19epidemiologypublic healthRNAsalivasample preservationSARS-CoV-2virus

Identifiers

PMID38455914
PMCPMC10910978
OpenAlexW4377820733

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.