Evidence map›Paper›PMID 38603146›Full record

ArticleThe American behavioral scientist2021

Tied Infections: How Social Connectedness to Other COVID-19 Patients Influences Illness Severity.

Xuewen Yan, Tianyao Qu, Nathan Sperber, Jinyuan Lu, Mengzhen Fan, Benjamin Cornwell

Open access · hybridAbstract read
In one paragraph

Article in The American behavioral scientist, 2021. 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
0.5field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Intergenerational Ties and COVID-19 Contagion: A Study on European Adults Aged 50 Years and Older Using SHARE Data.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
  3. COVID-19 precautionary behaviors and vaccine acceptance among older individuals: The role of close kin.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

6 authors at 4 institutions in 3 countries.

Xuewen YanCornell University, Ithaca, NY, USA.ORCID https://orcid.org/0000-0002-0233-056X
Tianyao QuCornell University, Ithaca, NY, USA.ORCID https://orcid.org/0000-0002-5468-7376
Nathan SperberFudan University, Shanghai, China.
Jinyuan LuShanghai Jiao Tong University, Shanghai, China.
Mengzhen FanUniversity of Oxford, Oxford, UK.
Benjamin CornwellCornell University, Ithaca, NY, USA.
Cornell University · USFudan University · CNShanghai Jiao Tong University · CNUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expanding on recent research on the transmission of COVID-19 via social networks, this article argues that exposure to familial and other close contacts who already have the disease may increase the severity of one's subsequent illness. We hypothesize that having family members or close contacts who were diagnosed with COVID-19 before one's own diagnosis exacerbates illness severity due to several potential mechanisms including changes in available social support access, increased stress and strain, and increased viral load due to the nature of one's exposure to the novel coronavirus. We analyze administrative data of all 417 patients who were diagnosed with COVID-19 in the Chinese city of Shenzhen between January 8 and February 25, 2020. Our analyses show that, when patients had family members or close ties diagnosed with COVID-19, they experienced more severe illness. We also find that patients with infected family members or close contacts did not have significantly extended total illness duration, due to their reduced time to diagnosis. The implications of both findings are discussed.

Indexed as

COVID-19familyillness severitysocial networkssurvival analysis

Identifiers

PMID38603146
PMCPMC8008097
OpenAlexW3148065909

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.