Evidence map›Paper›PMID 38784719›Full record

ArticleGeoHealth2024

The Inverted U-Shaped Relationship Between Socio-Economic Status and Infections During the COVID-19 Pandemic.

Yelin Sun, Weihang Liu, Gangfeng Zhang, Peijun Shi

Abstract read
In one paragraph

Article in GeoHealth, 2024. 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
–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

1 citing paper in PubMed.

  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

4 authors.

Yelin SunState Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Beijing China.
Weihang LiuState Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Beijing China.ORCID https://orcid.org/0000-0002-0732-4898
Gangfeng ZhangState Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Beijing China.
Peijun ShiState Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Beijing China.ORCID https://orcid.org/0000-0002-2968-7331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the World Health Organization has declared that the COVID-19 pandemic no longer qualifies as a global public health emergency, it still needs to explore the response of society to the COVID-19 pandemic. Socio-economic status (SES) was proven to be linearly associated with the COVID-19 pandemic, although this relationship may be more complex due to regional differences. In the study, we analyzed and revealed the effects and mechanisms of SES on infections among low, lower-middle, upper-middle and high SES group (LSG, LMSG, UMSG, and HSG, respectively). The results showed that the relationship between SES and infections was inverted U-shaped, especially in the first three phases. In Phase I, UMSG had the highest number of infections, with an average of 238.31/1M people (95%CI: 135.47-341.15/1M people). In Phases II and III, infections decreased insignificantly with increasing SES (

Indexed as

COVID‐19global healthpublic healthsocio‐economic levels

Identifiers

PMID38784719
PMCPMC11114092

What OpenQuestion holds

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LicenceCC BY-NC
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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.