Evidence map›Paper›PMID 37770868›Full record

ArticleInternational journal for equity in health2023

Social inequalities and COVID-19 mortality between neighborhoods of Bariloche city, Argentina.

Mónica Serena Perner, Andrés Trotta, Usama Bilal, Binod Acharya, Harrison Quick, Natalia Pacífico, Romina Berazategui, Marcio Alazraqui, Ana V Diez Roux

Abstract read
In one paragraph

Article in International journal for equity in health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Urban Environments, Health, and Environmental Sustainability: Findings From the SALURBAL Study.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    Review
  3. Article
  4. 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

9 authors.

Mónica Serena PernerInstitute of Collective Health, National University of Lanus, Buenos Aires, Argentina. serenaperner@gmail.com.
Andrés TrottaInstitute of Collective Health, National University of Lanus, Buenos Aires, Argentina.
Usama BilalUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, USA.
Binod AcharyaUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, USA.
Harrison QuickUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, USA.
Natalia PacíficoInstitute of Collective Health, National University of Lanus, Buenos Aires, Argentina.
Romina BerazateguiDr. Ramón Carrillo Hospital, Bariloche, Argentina.
Marcio AlazraquiInstitute of Collective Health, National University of Lanus, Buenos Aires, Argentina.
Ana V Diez RouxUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, USA.

Funding

Wellcome TrustWellcome Trust 205177/Z/16/Z
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has shown how intraurban inequalities are likely to reinforce health and social inequalities. Studies at small area level help to visualize social inequialities hidden in large areas as cities or regions.

aimTo describe the spatial patterning of COVID-19 death rates in neighborhoods of the medium-sized city of Bariloche, Argentina, and to explore its relationship with the socioeconomic characteristics of neighborhoods.

methodsWe conducted an ecological study in Bariloche, Argentina. The outcome was counts of COVID-19 deaths between June 2020 and May 2022 obtained from the surveillance system and georeferenced to neighborhoods. We estimated crude- and age-adjusted death rates by neighborhood using a Bayesian approach through a Poisson regression that accounts for spatial-autocorrelation via Conditional Autoregressive (CAR) structure. We also analyzed associations of age-adjusted death rates with area-level socioeconomic indicators.

resultsMedian COVID-19 death rate across neighborhoods was 17.9 (10th/90th percentile of 6.3/35.2) per 10,000 inhabitants. We found lower age-adjusted rates in the city core and western part of the city. The age-adjusted death rate in the most deprived areas was almost double than in the least deprived areas, with an education-related relative index of inequality (RII) of 2.14 (95% CI 1.55 to 2.96).

conclusionWe found spatial heterogeneity and intraurban variability in age-adjusted COVID-19 death rates, with a clear social gradient, and a higher burden in already deprived areas. This highlights the importance of studying inequalities in health outcomes across small areas to inform placed-based interventions.

Indexed as

COVID-19PandemicsArgentinaBayes TheoremCitiesHumansMortalitySocioeconomic FactorsCOVID-19Small areasSocial inequalitiesSpatial analysisUrban health

Identifiers

PMID37770868
PMCPMC10537962

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.