Evidence map›Paper›PMID 37407921›Full record

ArticleBMC public health2023

The government of masks in sentinel territories against Covid-19: Dakar and Seine-Saint-Denis.

Frédéric Keck, Enguerran Macia

Abstract read
In one paragraph

Article in BMC public health, 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
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.

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

2 authors.

Frédéric KeckFrench National Centre for Scientific Research Laboratoire d'anthropologie sociale (CNRS, UMR 7130), 52 rue Cardinal Lemoine, 75005, Paris, France. Frederic.keck@cnrs.fr.ORCID 0000-0002-7711-7288
Enguerran MaciaSanté, Sociétés (CNRS, UMI3189), Faculté de Médecine, French National Centre for Scientific Research Environnement, Université Cheikh Anta Diop de Dakar (UCAD), BP 5005, Dakar Fann, Sénégal.ORCID 0000-0002-6519-5692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic of Covid-19 has led to reluctance or resistance to wear a mask in countries that made it compulsory. The acceptance to wear a mask against respiratory diseases depends on conceptions of scientific authority and of the personality in the public space. It has material and symbolic dimensions that can be covered under the term "government of masks". We have questioned populations on these two aspects in territories we call sentinel because they are more exposed than others to emerging infectious diseases: Dakar (Senegal) and Seine-Saint-Denis (France). In France, school students have asked 250 people in public places on their perception of masks following a questionnaire, while in Senegal a team of master students went in 606 people's houses to ask questions following the same questionnaire. Despite these methodological differences, our results show that the perception of the State in these territories influences the uses of masks against Covid-19 at symbolic and material levels. While in Seine-Saint-Denis, the State provides more masks than in Dakar, the trust in the efficacy of mask wearing is lower. From a symbolic point of view, the mask is for many people an intrusion of the State into the private sphere, which hinders physical contact between family members. On the contrary, from the material point of view, the mask is a need that manifests the presence of the welfare State to watch over the health of the population. This comparative study suggests that a State that is at the same time coercive and protective produces a lower level of adherence to mask-wearing recommendations than a State where religious authorities are included in the prescription and where individuals contribute to making masks.

Indexed as

Communicable Diseases, EmergingCOVID-19CoercionGovernmentHumansSenegalCovid 19Face maskPublic spaceState

Identifiers

PMID37407921
PMCPMC10320991

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.