Evidence map›Paper›PMID 35004587›Full record

ArticleFrontiers in public health2021

Assessment of Impact of Containment During the COVID-19 Epidemic and Coping Behaviours Using Newly Developed Assessment Tools.

Li Ping Wong, Haridah Alias, Mahmoud Danaee, Hai Yen Lee, Kit Mun Tan, Peter Seah Keng Tok, Mustakiza Muslimin, Sazaly AbuBakar, Yulan Lin, Zhijian Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Li Ping WongFaculty of Medicine, Department of Social and Preventive Medicine, Centre for Epidemiology and Evidence-Based Practice, University of Malaya, Kuala Lumpur, Malaysia.
Haridah AliasFaculty of Medicine, Department of Social and Preventive Medicine, Centre for Epidemiology and Evidence-Based Practice, University of Malaya, Kuala Lumpur, Malaysia.
Mahmoud DanaeeFaculty of Medicine, Department of Social and Preventive Medicine, Centre for Epidemiology and Evidence-Based Practice, University of Malaya, Kuala Lumpur, Malaysia.
Hai Yen LeeDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Kit Mun TanFaculty of Medicine, Department of Medicine, Centre for Epidemiology and Evidence-Based Practice, University of Malaya, Kuala Lumpur, Malaysia.
Peter Seah Keng TokFaculty of Medicine, Department of Social and Preventive Medicine, Centre for Epidemiology and Evidence-Based Practice, University of Malaya, Kuala Lumpur, Malaysia.
Mustakiza MusliminFaculty of Health Sciences, Department of Medical Science & Technology, PICOMS International University College, Kuala Lumpur, Malaysia.
Sazaly AbuBakarDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Yulan LinDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Zhijian HuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19PandemicsAdaptation, PsychologicalHumansReproducibility of ResultsSARS-CoV-2confinement measuresCOVID-19exploratory factor analysispartial least squarespsychological

Identifiers

PMID35004587
PMCPMC8728738

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.