Evidence map›Paper›PMID 33869507›Full record

ArticleFrontiers in sociology2020

Covid-19 Requires a Social Medicine Response.

Lucas Jacob Trout, Arthur Kleinman

Open access · goldAbstract read
In one paragraph

Article in Frontiers in sociology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Equity Lens on Canada's COVID-19 Response: Review of the Literature.International journal of health policy and management · 2024
    Review
  6. Spanish residents' experiences of care during the first wave of the COVID-19 syndemic: a photo-elicitation study.International journal of qualitative studies on health and well-being · 2023
    Article
  7. Article
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  11. Review
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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 at 2 institutions in 1 country.

Lucas Jacob TroutDepartment of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, United States.
Arthur KleinmanDepartment of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, United States.
Harvard Global Health Institute · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Covid-19 is an inherently social disease, with exposure, illness, care, and outcomes stratified along familiar social, economic, and racial lines. However, interventions from public health and clinical medicine have focused primarily on the scale-up of technical and biomedical solutions that fail to address the social contexts driving its distribution and burden. Fused with a moment of reckoning with racial injustice and economic inequality in the U.S. and across the world, these disparities charge policy leaders to develop, study, and share a response grounded in social medicine. As a yardstick for formulating, evaluating, and implementing health policy and care delivery, social medicine recommends at least three things: integrating health, social, and economic responses; bringing care to the points of greatest need; and focusing on broad equity-driven reforms in the pandemic's wake. With these tools, Covid-19 presents us with an opportunity to address the inequities that the disease highlights, exploits, and may otherwise entrench.

Indexed as

COVID-19global healthhealth disparitieshealth equitysocial medicine

Identifiers

PMID33869507
PMCPMC8022438
OpenAlexW3097630236

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.