Evidence map›Paper›PMID 38603455›Full record

ArticleUrban studies (Edinburgh, Scotland)2023

Debates Paper: COVID-19 and urban informality: Exploring the implications of the pandemic for the politics of planning and inequality.

Gavin Shatkin, Vivek Mishra, Maria Khristine Alvarez

Open access · greenAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

1 citing paper in PubMed, 15 citations in OpenAlex.

  1. 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 2 institutions in 2 countries.

Gavin ShatkinNortheastern University, USA.ORCID https://orcid.org/0000-0001-8203-1270
Vivek MishraNortheastern University, USA.
Maria Khristine AlvarezUniversity College London, UK.ORCID https://orcid.org/0000-0002-5323-1676
Northeastern University · USUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has highlighted a major contradiction in contemporary urban planning. This is the relationship between the entrepreneurial modes of urban politics that shape contemporary planning practice and the interrelated dynamics of economic precarity and informalisation of low-income communities that exacerbate contagion, and therefore enable pandemic spread. Through a review of literature on the urban dimensions of COVID-19, and on the historical relationship between pandemics and urban planning, we develop a framework for analysing the debates that are emerging around planning approaches to addressing contemporary pandemic risk in low-income, informalised communities. We argue that post-pandemic debates about urban planning responses are likely to take shape around three discourses that have framed approaches to addressing informalised communities under entrepreneurial urbanism - a revanchist approach based on territorial stigmatisation of spaces of the poor, an incrementalist approach premised on addressing the most immediate drivers of contagion, and a reformist approach that seeks to address the structural conditions that have produced economic precarity and shelter informality. We further argue that any effort to assess the political outfall of the COVID-19 pandemic in a given context needs to take an inter-scalar approach, analysing how debates over informality take shape at the urban and national scales.

Indexed as

Built environmentCOVID-19healthinequalityinformality

Identifiers

PMID38603455
PMCPMC9836840
OpenAlexW4315571372

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.