Evidence map›Paper›PMID 36325628›Full record

ArticleThe Libyan journal of medicine2022

Place of distancing measures in containing epidemics: a scoping review.

Dhekra Chebil, Donia Ben Hassine, Sarra Melki, Sarra Nouira, Wafa Kammoun Rebai, Hajer Hannachi, Latifa Merzougui, Ahmed Ben Abdelaziz

Open access · goldAbstract readScoping Review
In one paragraph

Article in The Libyan journal of medicine, 2022. 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
0.5field-weighted citation impact, top 39% of its field
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, 4 citations in OpenAlex.

  1. Review
  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

8 authors at 4 institutions in 1 country.

Dhekra ChebilInfection Prevention Control Department, Ibn Al Jazzar University Hospital, Kairouan, Tunisia.
Donia Ben HassineResearch Laboratory, LR19SP01, Sousse, Tunisia.
Sarra MelkiResearch Laboratory, LR19SP01, Sousse, Tunisia.
Sarra NouiraResearch Laboratory, LR19SP01, Sousse, Tunisia.
Wafa Kammoun RebaiRegional Training Center supported by WHO-TDR for East Mediterranean Region (EMR), Pasteur Institute of Tunis, Tunisia.
Hajer HannachiInfection Prevention Control Department, Ibn Al Jazzar University Hospital, Kairouan, Tunisia.
Latifa MerzouguiInfection Prevention Control Department, Ibn Al Jazzar University Hospital, Kairouan, Tunisia.
Ahmed Ben AbdelazizResearch Laboratory, LR19SP01, Sousse, Tunisia.
University of Sousse · TNUniversity of Kairouan · TNHôpital Sahloul · TNInstitut Pasteur de Tunis · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distancing is one of the barrier measures in mitigating epidemics. We aimed to investigate the typology, effectiveness, and side effects of distancing rules during epidemics. Electronic searches were conducted on MEDLINE, PubMed in April 2020, using Mesh-Terms representing various forms of distancing ('social isolation', 'social distancing', 'quarantine') combining with 'epidemics'. PRISMA-ScR statement was consulted to report this review. A total of 314 titles were identified and 93 were finally included. 2009 influenza A and SARS-CoV-2 epidemics were the most studied. Distancing measures were mostly classified as case-based and community-based interventions. The combination of distancing rules, like school closure, home working, isolation and quarantine, has proven to be effective in reducing R

Indexed as

COVID-19Influenza, HumanCommunicable Disease ControlHumansPandemicsSARS-CoV-2epidemicsPhysical distancingpublic healthquarantineReview Literature as Topic

Identifiers

PMID36325628
PMCPMC9639554
OpenAlexW4308180054

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.