Evidence map›Paper›PMID 35125583›Full record

ArticleHabitat international2022

Are leading urban centers predisposed to global risks- A analysis of the global south from COVID-19 perspective.

Himanshu Shekhar, Malvika Rautela, Mehmooda Maqsood, Ricardo Paris, Rafael Maximiliano Flores de León, María Fernanda Romero-Aguirre, Marygrace Balinos, Mariana Estrada Velázquez, Gita Salehi Amri, Tamanna Rahman and 3 more

Abstract read
In one paragraph

Article in Habitat international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Urban Health Scholarship and Practice in the Post-Pandemic Era.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
    Article
  4. Article
  5. COVID-19 Patterns in Araraquara, Brazil: A Multimodal Analysis.International journal of environmental research and public health · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Predicting COVID-19 Infections in Eswatini Using the Maximum Likelihood Estimation Method.International journal of environmental research and public health · 2022
    Article
  10. 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

13 authors.

Himanshu ShekharUnited Nations University - Institute for Environment and Human Security (UNU-EHS), UN Campus, Platz der Vereinten Nationen 1, Bonn, 53113, Germany.
Malvika RautelaFigure Ground Inc Architecture and Planning, Jaipur, India.
Mehmooda MaqsoodIndus Valley School of Arts and Architecture, Karachi, Pakistan.
Ricardo ParisMinistry of Science, Technology and Innovation, Brasilia, Brazil.
Rafael Maximiliano Flores de LeónGrupo Innovaterra, Guatemala City, Guatemala.
María Fernanda Romero-AguirrePlanning Secretary of Bogota - Environment and Rurality Direction, Bogotá, Colombia.
Marygrace BalinosTriángulo Austral Ingeniería e Innovación Limitada, Valdivia, Chile.
Mariana Estrada VelázquezUniversidad Austral de Chile, Institute of Architecture and Urbanism, Valdivia, Chile.
Gita Salehi AmriHelp - Hilfe zur Selbsthilfe, International Humanitarian NGO, Erbil, Iraq.
Tamanna RahmanPractical Action, Dhaka, Bangladesh.
Augustine Yaw AsuahUrban Eco-Village Project, Accra, Ghana.
Jilan HosniPatrimonio Edificado y Contexto Association (PEC), Valdivia, Chile.
Md Shahinoor RahmanDepartment of Earth and Environmental Sciences, New Jersey City University, Jersey City, NJ, 07305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 initially spread among prominent global cities and soon to the urban centers of countries across the globe. While cities are the hotbeds of activities, they also seem highly exposed to global risks including the pandemic. Using the case of COVID-19 and the World Risk Index framework, this paper examines if the leading cities from the global south are inherently vulnerable and exposed to global risks and can they exacerbate the overall risk of their respective nations. Compared against their respective national averages, most of the 20 cities from 10 countries analyzed in this paper, have higher exposure, lower adaptive capacity, higher coping capacity and varied susceptibility. As this relative understanding is based on respective national averages which are often lower than the global standards, even high performance on certain indicators may still result in elevated predisposition. This paper concludes that the leading urban centers from the global south are highly likely to be predisposed to global risks due to their inherent vulnerability and exposure, and many of the drivers of this predisposition are related to the process of urbanization itself. This predisposition can enhance the overall exposure and vulnerability of the nation in which they are located.

Indexed as

COVID-19Disaster riskExposureMegacitiesUrbanizationVulnerability

Identifiers

PMID35125583
PMCPMC8801593

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.