Evidence map›Paper›PMID 34559845›Full record

ArticlePloS one2021

Surveillance for face mask compliance, Chennai, Tamil Nadu, India, October-December, 2020.

Jagadeesan M, Polani Rubeshkumar, Mohankumar Raju, Manikandanesan Sakthivel, Sharan Murali, Ramya Nagarajan, Muthappan Sendhilkumar, Irene Sambath, Kumaravel Ilangovan, Dineshkumar Harikrishnan and 4 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Article
  6. 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

14 authors.

Jagadeesan MPublic Health Department, Greater Chennai Corporation, Chennai, Tamil Nadu, India.
Polani RubeshkumarDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Mohankumar RajuDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.ORCID 0000-0001-9316-8977
Manikandanesan SakthivelDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Sharan MuraliDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.ORCID 0000-0001-9062-2994
Ramya NagarajanDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.ORCID 0000-0001-7897-1120
Muthappan SendhilkumarDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Irene SambathDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Kumaravel IlangovanDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.ORCID 0000-0003-0111-511X
Dineshkumar HarikrishnanDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.ORCID 0000-0003-0418-791X
Vettrichelvan VenkatasamyDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Parasuraman GaneshkumarDivision of Epidemiology, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Madhusudhan ReddyPublic Health Department, Greater Chennai Corporation, Chennai, Tamil Nadu, India.
Prabhdeep KaurDivision of Noncommunicable Diseases, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.ORCID 0000-0002-2605-3739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGovernment of Tamil Nadu, India, mandated the face mask wearing in public places as one of the mitigation measures of COVID-19. We established a surveillance system for monitoring the face mask usage. This study aimed to estimate the proportion of the population who wear face masks appropriately (covering nose, mouth, and chin) in the slums and non-slums of Chennai at different time points.

methodsWe conducted cross-sectional surveys among the residents of Chennai at two-time points of October and December 2020. The sample size for outdoor mask compliance for the first and second rounds of the survey was 1800 and 1600, respectively, for each of the two subgroups-slums and non-slums. In the second round, we included 640 individuals each in the slums and non-slums indoor public places and 1650 individuals in eleven shopping malls. We calculated the proportions and 95% confidence interval (95%CI) for the mask compliance outdoors and indoors by age, gender, region, and setting (slum and non-slum).

resultsWe observed 3600 and 3200 individuals in the first and second surveys, respectively, for outdoor mask compliance. In both rounds, the prevalence of appropriate mask use outdoors was significantly lower in the slums (28%-29%) than non-slum areas (36%-35%) of Chennai (p<0.01). Outdoor mask compliance was similar within slum and non-slum subgroups across the two surveys. Lack of mask use was higher in the non-slums in the second round (50%) than in the first round of the survey (43%) (p<0.05). In the indoor settings in the 2nd survey, 10%-11% among 1280 individuals wore masks appropriately. Of the 1650 observed in the malls, 947 (57%) wore masks appropriately.

conclusionNearly one-third of residents of Chennai, India, correctly wore masks in public places. We recommend periodic surveys, enforcement of mask compliance in public places, and mass media campaigns to promote appropriate mask use.

Indexed as

COVID-19MasksPatient ComplianceSARS-CoV-2AdolescentAdultChildCross-Sectional StudiesFemaleHumansIndiaMaleMiddle Aged

Identifiers

PMID34559845
PMCPMC8462676

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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.