Evidence map›Paper›PMID 33110294›Full record

ArticleSafety science2021

Weaving public health and safety nets to respond the COVID-19 pandemic.

Di Fan, Yi Li, Wei Liu, Xiao-Guang Yue, Georgios Boustras

Abstract read
In one paragraph

Article in Safety science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Di FanDepartment of Management & Marketing, Swinburne Business School, Faculty of Business and Law, Swinburne University of Technology, Melbourne 3123, Australia.
Yi LiDiscipline of International Business, The University of Sydney Business School, Sydney, NSW 2006, Australia.
Wei LiuBusiness School, Qingdao University, Qingdao 266110, China.
Xiao-Guang YueDepartment of Computer Science and Engineering, School of Sciences, European University Cyprus, Nicosia 1516, Cyprus.
Georgios BoustrasCenter of Excellence in Risk & Decision Sciences, European University Cyprus, Nicosia 2404, Cyprus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How do governments take strategic actions in weaving public health and safety nets to respond to the COVID-19 pandemic? Embracing Moore's strategic action framework, this study investigates how municipal governments can configure authorizing environment-operational capacity-public value attributes to weave public health and safety nets, in order to prevent and control the public health and safety emergency. Leveraging fuzzy-set Qualitative Comparative Analysis (fsQCA) with a sample of 323 Chinese cities, we identify a distinctive taxonomy of four equally effective configurations of urban actions in blocking COVID-19 transmission:

Indexed as

COVID-19fuzzy-set Qualitative Comparative Analysis (fsQCA)GovernmentPublic health and safetyStrategic action

Identifiers

PMID33110294
PMCPMC7580673

What OpenQuestion holds

Textmetadata
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.