Evidence map›Paper›PMID 32807087›Full record

ReviewBMC infectious diseases2020

Improving the impact of non-pharmaceutical interventions during COVID-19: examining the factors that influence engagement and the impact on individuals.

Holly Seale, Clare E F Dyer, Ikram Abdi, Kazi M Rahman, Yanni Sun, Mohammed O Qureshi, Alexander Dowell-Day, Jonathon Sward, M Saiful Islam

Open access · goldAbstract readReview
In one paragraph

Review in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 4 pooled it
11.3field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 4 syntheses or guidelines pooled it, 177 citations in OpenAlex.

  1. Key factors for promoting protective behaviours in future pandemics: an umbrella review.Archives of public health = Archives belges de sante publique · 2026
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20 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 2 countries.

Holly SealeSchool of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Level 2, Samuels Building, Sydney, 2052, Australia. h.seale@unsw.edu.au.ORCID http://orcid.org/0000-0002-1877-5395
Clare E F DyerSchool of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Level 2, Samuels Building, Sydney, 2052, Australia.
Ikram AbdiSchool of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Level 2, Samuels Building, Sydney, 2052, Australia.
Kazi M RahmanNorth Coast Public Health Unit, New South Wales Health, Lismore, NSW, Australia.
Yanni SunCentre for Population Health, New South Wales Health, Sydney, Australia.
Mohammed O QureshiSchool of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Level 2, Samuels Building, Sydney, 2052, Australia.
Alexander Dowell-DaySchool of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Level 2, Samuels Building, Sydney, 2052, Australia.
Jonathon SwardSchool of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Level 2, Samuels Building, Sydney, 2052, Australia.
M Saiful IslamSchool of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Level 2, Samuels Building, Sydney, 2052, Australia.
UNSW Sydney · AUInternational Centre for Diarrhoeal Disease Research · BDNew South Wales Department of Health · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring an evolving outbreak or pandemic, non-pharmaceutical interventions (NPIs) including physical distancing, isolation, and mask use may flatten the peak in communities. However, these strategies rely on community understanding and motivation to engage to ensure appropriate compliance and impact. To support current activities for COVID-19, the objectives of this narrative review was to identify the key determinants impacting on engagement.

methodsAn integrative narrative literature review focused on NPIs. We aimed to identify published peer-reviewed articles that focused on the general community (excluding healthcare workers), NPIs (including school closure, quarantine, isolation, physical distancing and hygiene behaviours), and factors/characteristics (including social, physical, psychological, capacity, motivation, economic and demographic) that impact on engagement.

resultsThe results revealed that there are a range of demographic, social and psychological factors underpinning engagement with quarantine, school closures, and personal protective behaviours. Aside from the factors impacting on acceptance and compliance, there are several key community concerns about their use that need to be addressed including the potential for economic consequences.

conclusionIt is important that we acknowledge that these strategies will have an impact on an individual and the community. By understanding the barriers, we can identify what strategies need to be adopted to motivate individuals and improve community compliance. Using a behavioural framework to plan interventions based on these key barriers, will also ensure countries implement appropriate and targeted responses.

Indexed as

HygieneSocial IsolationCoronavirus InfectionsCOVID-19Disease OutbreaksHumansPandemicsPneumonia, ViralQuarantineSchoolsAcceptanceBehaviour quarantineCommunityCOVID-19MasksNon-pharmaceutical interventionsPandemic

Identifiers

PMID32807087
PMCPMC7430133
OpenAlexW3049083170

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.