Evidence map›Paper›PMID 34735477›Full record

ArticlePloS one2021

Development of at-home sample collection logistics for large-scale seroprevalence studies.

Aishani V Aatresh, Kate Cummings, Hilary Gerstein, Christopher S Knight, Andreas Limberopolous, Megan A Stasi, Alice Bedugnis, Kenneth A Somberg, Camila T França, Michael J Mina

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Fragment-Based Discovery of KLK6 and KLK7 Inhibitors.Journal of chemical information and modeling · 2026
    Article
  2. Article
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

10 authors.

Aishani V AatreshDepartment of Epidemiology, Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.ORCID 0000-0002-9774-2435
Kate CummingsTrialSpark, Inc., New York, NY, United States of America.
Hilary GersteinTrialSpark, Inc., New York, NY, United States of America.
Christopher S KnightTrialSpark, Inc., New York, NY, United States of America.
Andreas LimberopolousTrialSpark, Inc., New York, NY, United States of America.
Megan A StasiTrialSpark, Inc., New York, NY, United States of America.
Alice BedugnisDepartment of Epidemiology, Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
Kenneth A SombergTrialSpark, Inc., New York, NY, United States of America.
Camila T FrançaDepartment of Epidemiology, Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
Michael J MinaDepartment of Epidemiology, Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.

Funding

Deconvolution and reconstruction of immune histories to enhance infectious disease prevention and vaccination strategies and optimize surveillance effortsDP5OD028145 · OD · HARVARD SCHOOL OF PUBLIC HEALTH · PI HOFMAN, ALBERT · 2019 to 2021
$1.2M
NIH HHS DP5 OD028145
6 · The paper itself

Abstract

backgroundSerological studies rely on the recruitment of representative cohorts; however, such efforts are specially complicated by the conditions surrounding the COVID19 pandemic.

methodsWe aimed to design and implement a fully remote methodology for conducting safe serological surveys that also allow for the engagement of representative study populations.

resultsThis design was well-received and effective. 2,066 participants ≥18 years old were enrolled, reflecting the ethnic and racial composition of Massachusetts. >70% of them reported being satisfied/extremely satisfied with the online enrollment and at-home self-collection of blood samples. While 18.6% reported some discomfort experienced with the collection process, 72.2% stated that they would be willing to test weekly if enrolled in a long-term study.

conclusionsHigh engagement and positive feedback from participants, as well as the quality of self-collected specimens, point to the usefulness of this fully remote, self-collection-based study design for future safer and efficient population-level serological surveys.

Indexed as

Seroepidemiologic StudiesSpecimen HandlingAdolescentAdultAgedAged, 80 and overCOVID-19FemaleHumansMaleMassachusettsMiddle AgedPandemicsResearch DesignSARS-CoV-2Young Adult

Identifiers

PMID34735477
PMCPMC8568136

What OpenQuestion holds

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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.