Evidence map›Paper›PMID 38881907›Full record

ArticlePublic health in practice (Oxford, England)2024

Final assessment of the COVID-19 pandemic impact between the different social and economic strata population of the city of Buenos Aires.

Alejandro Macchia, Cristian Biscayart, Patricia Angeleri, Javier Mariani, Daniel Ferrante

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Alejandro MacchiaMinistry of Public Health, Ciudad Autónoma de Buenos Aires - Argentina, Argentina.
Cristian BiscayartMinistry of Public Health, Ciudad Autónoma de Buenos Aires - Argentina, Argentina.
Patricia AngeleriMinistry of Public Health, Ciudad Autónoma de Buenos Aires - Argentina, Argentina.
Javier MarianiFundación GESICA, Ciudad Autónoma de Buenos Aires - Argentina, Argentina.
Daniel FerranteMinistry of Public Health, Ciudad Autónoma de Buenos Aires - Argentina, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the pandemic, epidemiological communications reported an estimation of excess deaths. However, the final calculation requires a detailed analysis. The study aim was to ascertain the number and distribution of COVID-19 fatalities among various socio-economic strata in a large, moderate to low-income city. Study design: Observational time series analysis in a large city, treated as a natural experiment. Methods: Analysis of death certificates, demographic data, and health system records of positive RT-PCR COVID-19 tests from 2015 to 2021, categorizing by age, sex, and place of residence. The study measured the pandemic's impact on mortality, including COVID and non-COVID deaths, using corrected Poisson regression models for different demographics and assessing socio-economic status impact via ecological community-level analysis. Results: Compared to the pre-pandemic period (2015-2019, IRR = 1.00), the sex- and age-adjusted rate of all-cause death increased significantly during the pandemic (2020-2021) IRR = 1.109 [1.054-1.167], p < 0.0001. This was observed in both males (IRR = 1.158 [1.1-1.219], p < 0.0001) and females (IRR = 1.068 [1.016-1.124], p = 0.01). There was no observed effect of the pandemic on the historical trend in the progressive reduction of mortality in people under 35 years of age. The increase in deaths was at the expense of COVID (+11,175 deaths) and cardiovascular causes (IRR = 1.114 [1.020-1.217] p = 0.017). During the pandemic, there was a significant increase in deaths at home (IRR = 1.219 [1197-1.242], p < 0.0001), especially in people dying of cardiovascular causes (IRR = 1.391 [1.360-1.422], p < 0.0001). The increase in the adjusted mortality rate during the pandemic was socially conditioned. Conclusions: The pandemic not only led to increased COVID-19 mortality but also heightened fatalities from non-COVID causes, reflecting a potential bias in healthcare resource allocation towards SARS-CoV-2 at the expense of chronic pathologies care.

Indexed as

COVID-19Health services accessibilityTime series studies

Identifiers

PMID38881907
PMCPMC11180337

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.