Evidence map›Paper›PMID 35933852›Full record

ArticleHealth & place2022

Salir Adelante: Social capital and resilience during the Covid-19 pandemic in Argentina.

Eric D Carter, María Laura Cordero

Abstract read
In one paragraph

Article in Health & place, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Social Cohesion and COVID-19: Integrative Review.Interactive journal of medical research · 2024
    Review
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  5. Article
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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

2 authors.

Eric D CarterMacalester College, USA. Electronic address: ecarter@macalester.edu.
María Laura CorderoInstituto de Investigaciones Territoriales y Tecnológicas para la Producción del Hábitat (INTEPH), CONICET NOASur, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Covid-19 pandemic has stimulated new appraisals of how social cohesion, including neighborhood-level social capital, fosters resilience in the face of crisis. Several studies suggest better health outcomes in neighborhoods with higher level of social capital, in general and during the pandemic. Building on a growing body of research which suggests that those who live in close-knit neighborhoods have fared better during the pandemic, this article analyzes how social capital influences individual and collective perceptions and attitudes about the experiences of the Covid-19 pandemic in Tucumán, Argentina. To assess this question, we used a mixed-methods approach, combining focus groups, semi-structured interviews, and an online survey (n = 701 respondents) conducted in September 2021. We find widespread experiences of resilience in response to the Covid-19 pandemic, in spite of difficult socioeconomic conditions and perceived poor government performance. Results from logistic regression analysis indicate that perceptions of high neighborhood social capital are associated with more positive outcomes in many dimensions, including personal resilience, ability to cope with uncertainty, perceptions of community solidarity, and reported compliance with public health measures. We further argue that conceptualizations of social cohesion need to be adjusted to local or national-level cultural norms to accurately capture the experience of countries of the Global South.

Indexed as

COVID-19Social CapitalArgentinaHumansPandemicsResidence CharacteristicsArgentinaCommunity resilienceCovid-19 pandemicLatin AmericaSocial capitalSocial cohesion

Identifiers

PMID35933852
PMCPMC9296513

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.