Evidence map›Paper›PMID 37628457›Full record

ArticleHealthcare (Basel, Switzerland)2023

Preparing Cities for Future Pandemics: Unraveling the Influence of Urban and Housing Variables on COVID-19 Incidence in Santiago de Chile.

Katherina Kuschel, Raúl Carrasco, Byron J Idrovo-Aguirre, Claudia Duran, Javier E Contreras-Reyes

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. 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
4.0field-weighted citation impact, top 5% 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, 7 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

5 authors at 5 institutions in 2 countries.

Katherina KuschelCENTRUM Católica Graduate Business School, Pontificia Universidad Católica del Perú, Lima 15073, Peru.ORCID 0000-0002-1465-3411
Raúl CarrascoNúcleo de Investigación en Data Science, Facultad de Ingeniería y Negocios, Universidad de Las Américas, Santiago 3981000, Chile.ORCID 0000-0002-5023-9349
Byron J Idrovo-AguirreEscuela de Negocios, Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibañez, Santiago 7941169, Chile.ORCID 0000-0002-1032-213X
Claudia DuranDepartamento de Ingeniería Industrial, Universidad Tecnológica Metropolitana, Santiago 7800002, Chile.ORCID 0000-0002-0903-4333
Javier E Contreras-ReyesInstituto de Estadística, Facultad de Ciencias, Universidad de Valparaíso, Valparaíso 2360102, Chile.ORCID 0000-0003-1172-5456
Adolfo Ibáñez University · CLMetropolitan University of Technology · CLPontificia Universidad Católica del Perú · PEUniversity of the Americas · CLUniversity of Valparaíso · CL

Funding

FONDECYT 1190116Universidad de Las Américas DI-38/22
6 · The paper itself

Abstract

In this study, we analyzed how urban, housing, and socioeconomic variables are related to COVID-19 incidence. As such, we have analyzed these variables along with demographic, education, employment, and COVID-19 data from 32 communes in Santiago de Chile between March and August of 2020, before the release of the vaccines. The results of our Principal Component Analysis (PCA) confirmed that those communes with more economic, social, organizational, and infrastructural resources were overall less affected by COVID-19. As the dimensions affecting COVID-19 are based on structural variables, this study discusses to what extent our cities can be prepared for the next pandemic. Recommendations for local decision-makers in controlling illegal immigration and investing in housing and urban parks are drawn.

Indexed as

COVID-19housingsocioeconomic variablesurban planning

Identifiers

PMID37628457
PMCPMC10454338
OpenAlexW4385759391

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.