Evidence map›Paper›PMID 34319978›Full record

ArticlePloS one2021

Prevalence of unmasked and improperly masked behavior in indoor public areas during the COVID-19 pandemic: Analysis of a stratified random sample from Louisville, Kentucky.

Seyed M Karimi, Sonali S Salunkhe, Kelsey B White, Bert B Little, W Paul McKinney, Riten Mitra, YuTing Chen, Emily R Adkins, Julia A Barclay, Emmanuel Ezekekwu and 8 more

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Application of Pandemic Intelligence in Dynamic Data in Taiwan.International journal of environmental research and public health · 2021
    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

18 authors.

Seyed M KarimiDepartment of Health Management and Systems Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.ORCID 0000-0002-3796-8141
Sonali S SalunkheDepartment of Health Management and Systems Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Kelsey B WhiteDepartment of Health Management and Systems Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Bert B LittleDepartment of Health Management and Systems Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.ORCID 0000-0002-6485-4641
W Paul McKinneyDepartment of Health Promotion and Behavioral Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Riten MitraDepartment of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.
YuTing ChenLouisville Metro Department of Public Health and Wellness, Louisville, Kentucky, United States of America.
Emily R AdkinsDepartment of Health Management and Systems Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Julia A BarclayDepartment of Health Management and Systems Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Emmanuel EzekekwuDepartment of Health Management and Systems Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Caleb X HeDepartment of Political Science, College of Arts and Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Dylan M HurstDepartment of Psychological and Brain Sciences, College of Arts and Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Martha M PopescuDepartment of Anthropology, College of Arts and Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Devin N SwinneyDepartment of Health Management and Systems Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.
David A JohnsonDepartment of Health Management and Systems Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Rebecca HollenbachLouisville Metro Department of Public Health and Wellness, Louisville, Kentucky, United States of America.
Sarah S MoyerDepartment of Health Management and Systems Sciences, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.
Natalie C DuPréDepartment of Epidemiology and Population Health, School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, United States of America.

Funding

University of Louisville Center for Integrative Environmental Health SciencesP30ES030283 · NIEHS · UNIVERSITY OF LOUISVILLE · PI Amanda Jo LeBlanc · 2020 to 2026
$10.0M
NIEHS NIH HHS P30 ES030283
6 · The paper itself

Abstract

Wearing a facial mask can limit COVID-19 transmission. Measurements of communities' mask use behavior have mostly relied on self-report. This study's objective was to devise a method to measure the prevalence of improper mask use and no mask use in indoor public areas without relying on self-report. A stratified random sample of retail trade stores (public areas) in Louisville, Kentucky, USA, was selected and targeted for observation by trained surveyors during December 14-20, 2020. The stratification allowed for investigating mask use behavior by city district, retail trade group, and public area size. The total number of visited public areas was 382 where mask use behavior of 2,080 visitors and 1,510 staff were observed. The average prevalence of mask use among observed visitors was 96%, while the average prevalence of proper use was 86%. In 48% of the public areas, at least one improperly masked visitor was observed and in 17% at least one unmasked visitor was observed. The average prevalence of proper mask use among staff was 87%, similar to the average among visitors. However, the percentage of public areas where at least one improperly masked staff was observed was 33. Significant disparities in mask use and its proper use were observed among both visitors and staff by public area size, retail trade type, and geographical area. Observing unmasked and improperly masked visitors was more common in small (less than 1500 square feet) public areas than larger ones, specifically in food and grocery stores as compared to other retail stores. Also, the majority of the observed unmasked persons were male and middle-aged.

Indexed as

COVID-19Disease Transmission, InfectiousHumansKentuckyMasksPandemicsPrevalencePublic FacilitiesPublic HealthSARS-CoV-2

Identifiers

PMID34319978
PMCPMC8318281

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.