Evidence map›Paper›PMID 37416838›Full record

ArticleUrban studies (Edinburgh, Scotland)2023

Urban epidemic governance: An event system analysis of the outbreak and control of COVID-19 in Wuhan, China.

Jinliao He, Yuan Zhang

Abstract read
In one paragraph

Article in Urban studies (Edinburgh, Scotland), 2023. 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
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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.

Jinliao HeEast China Normal University, China.ORCID https://orcid.org/0000-0001-8576-7312
Yuan ZhangEast China Normal University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of a virus such as COVID-19 is composed of a series of seemingly random incidents which are nevertheless interconnected. In a novel approach, this article adopts the event system theory (EST), established in organisational behaviour science, to investigate the mechanism of epidemic governance in Wuhan, the city which reported the first case of COVID-19 and thereafter successfully controlled the outbreak. The event system analysis divided Wuhan's response mechanism to COVID-19 into four dimensions: the graded response systems, the interactive relationship between multilevel entities of epidemic governance, the quarantine regulations and the governance of public sentiment. There are numerous lessons learned and effective measures developed from the 'Wuhan experience'. These lessons and measures can assist other cities around the world to cope with the current COVID-19 crisis and prepare their urban governance systems for similar infectious diseases in the future. We urgently advocate the addition of more scholarly discussion on urban epidemic governance by incorporating interdisciplinary approaches like EST in particular.

Indexed as

COVID-19event system theoryurban governanceWuhan

Identifiers

PMID37416838
PMCPMC10311380

What OpenQuestion holds

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Registered trials

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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.