Evidence map›Paper›PMID 34362936›Full record

ArticleScientific reports2021

Examining the interplay between face mask usage, asymptomatic transmission, and social distancing on the spread of COVID-19.

Adam Catching, Sara Capponi, Ming Te Yeh, Simone Bianco, Raul Andino

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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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

5 authors.

Adam Catching *Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, 94158, USA.
Sara Capponi *Functional Genomics and Cellular Engineering, AI and Cognitive Software, IBM Almaden Research Center, San Jose, CA, 95120, USA.
Ming Te YehDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, 94158, USA.
Simone BiancoFunctional Genomics and Cellular Engineering, AI and Cognitive Software, IBM Almaden Research Center, San Jose, CA, 95120, USA. sbianco@us.ibm.com.
Raul AndinoDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, 94158, USA. Raul.Andino@ucsf.edu.

Funding

STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008284 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1988 to 2022
$10.1M
NIGMS NIH HHS T32 GM008284
6 · The paper itself

Abstract

COVID-19's high virus transmission rates have caused a pandemic that is exacerbated by the high rates of asymptomatic and presymptomatic infections. These factors suggest that face masks and social distance could be paramount in containing the pandemic. We examined the efficacy of each measure and the combination of both measures using an agent-based model within a closed space that approximated real-life interactions. By explicitly considering different fractions of asymptomatic individuals, as well as a realistic hypothesis of face masks protection during inhaling and exhaling, our simulations demonstrate that a synergistic use of face masks and social distancing is the most effective intervention to curb the infection spread. To control the pandemic, our models suggest that high adherence to social distance is necessary to curb the spread of the disease, and that wearing face masks provides optimal protection even if only a small portion of the population comply with social distance. Finally, the face mask effectiveness in curbing the viral spread is not reduced if a large fraction of population is asymptomatic. Our findings have important implications for policies that dictate the reopening of social gatherings.

Indexed as

MasksPhysical DistancingCOVID-19HumansPandemicsSARS-CoV-2Stochastic Processes

Identifiers

PMID34362936
PMCPMC8346500

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.