Evidence map›Paper›PMID 35350111›Full record

ArticleCities (London, England)2022

Looking into mobility in the Covid-19 'eye of the storm': Simulating virus spread and urban resilience in the Wuhan city region travel flow network.

Shuai Shi, Kathy Pain, Xi Chen

Open access · hybridAbstract read
In one paragraph

Article in Cities (London, England), 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
2.5field-weighted citation impact, top 11% 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, 19 citations in OpenAlex.

  1. Article
  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

3 authors at 3 institutions in 3 countries.

Shuai ShiReal Estate & Construction, Faculty of Architecture, The University of Hong Kong, Pok Fu Lam, Hong Kong Special Administrative Region.
Kathy PainReal Estate & Planning, Henley Business School, University of Reading, Whiteknights, Reading, Berkshire, United Kingdom.
Xi ChenSchool of Geographical Sciences, Changchun Normal University, Changchun, China.
Changchun Normal University · CNUniversity of Hong Kong · HKUniversity of Reading · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent urban and regional studies have focused on identifying positive spillover effects from intensifying flows of people in city region networks. However, potential negative spillover effects have lacked attention. The article addresses this research gap focusing on the negative spillover effects represented by Covid-19 contagion in the Wuhan regional travel flow network, China. Drawing on central place theory and central flow theory, Covid-19 spatial spread simulation scenarios are explored using a combined micro-level epidemic compartment model and urban network approach. It is found that not only centrally positioned primate but secondary cities are highly risk exposed to contagion. In addition, these cities have enhanced transmission capacity in a balanced, well-connected travel flow network, whereas a centralised or locally clustered network would be more spread resilient. Both hierarchical position and horizontal flows are found relevant for explaining Covid-19 uneven spread and for informing mobility interventions for a potential future outbreak.

Indexed as

Central flow theoryCentral place theoryCity regionCovid-19Spillover effectsTravel flow Network

Identifiers

PMID35350111
PMCPMC8948001
OpenAlexW4220871775

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.