Evidence map›Paper›PMID 33076238›Full record

ArticleInternational journal of environmental research and public health2020

Assessing the Distribution of Elderly Requiring Care: A Case Study on the Residents in Barcelona and the Impact of COVID-19.

Enrique Arvelo, Jesica de Armas, Monserrat Guillen

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. 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
2.4field-weighted citation impact, top 9% 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, 5 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 1 country.

Enrique ArveloDept. of Economics and Business, Universitat Pompeu Fabra, 08005 Barcelona, Spain.
Jesica de ArmasDept. of Economics and Business, Universitat Pompeu Fabra, 08005 Barcelona, Spain.ORCID 0000-0002-7619-7407
Monserrat GuillenDept. Econometrics, Universitat de Barcelona, 08034 Barcelona, Spain.ORCID 0000-0002-2644-6268
Universitat Pompeu Fabra · ESBarcelona School of Economics · ES

Funding

ICREA Academia 2018"la Caixa" Foundation SR0225Ministerio de Ciencia e Innovación PID2019-105986GB-C21Ministerio de Ciencia, Innovación y Universidades RTI2018-095197-B-I00
6 · The paper itself

Abstract

In this work, we establish a methodological framework to analyze the care demand for elderly citizens in any area with a large proportion of elderly population, and to find connections to the cumulative incidence of COVID-19. Thanks to this analysis, it is possible to detect deficiencies in the public elderly care system, identify the most disadvantaged areas in this sense, and reveal convenient information to improve the system. The methods used in each step of the framework belong to data analytics: choropleth maps, clustering analysis, principal component analysis, or linear regression. We applied this methodology to Barcelona to analyze the distribution of the demand for elderly care services. Thus, we obtained a deeper understanding of how the demand for elderly care is dispersed throughout the city. Considering the characteristics that were likely to impact the demand for homecare in the neighborhoods, we clearly identified five groups of neighborhoods with different profiles and needs. Additionally, we found that the number of cases in each neighborhood was more correlated to the number of elderly people in the neighborhood than it was to the number of beds in assisted living or day care facilities in the neighborhood, despite the negative impact of COVID-19 cases on the reputation of this kind of center.

Indexed as

PandemicsAgedCitiesCoronavirus InfectionsCOVID-19HumansNeeds AssessmentPneumonia, ViralResidence CharacteristicsSpaincare systemCOVID-19data analyticselderly population

Identifiers

PMID33076238
PMCPMC7602505
OpenAlexW3092820334

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.