Evidence map›Paper›PMID 40927602›Full record

ArticleJournal of healthcare, science and the humanities

Local Responses to COVID-19: The Mediating Role of Community-based Organizations in Majority-Black Neighborhoods and Immigrant Enclaves, A Case Study of Atlanta, Georgia.

Davis Schultz

Abstract read
In one paragraph

Article in Journal of healthcare, science and the humanities. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Davis SchultzGeorgia State University, B.S. History and Sociology Georgia Institute of Technology, Independent Researcher, 4958 Conover Drive, Tel: (678) 642-7451, Email: dschultz216@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper will present a case study of local responses to the epidemic in immigrant enclaves and majority-black neighborhoods in Atlanta, Georgia. The COVID-19 health crisis presents an unprecedented challenge for many black and brown communities in the United States which may be particularly vulnerable to the contagion because of higher rates of certain pre-existing conditions like heart disease, lack of access to adequate healthcare services, and financial pressures to continue working despite increasingly risky conditions. In the American South where burgeoning ethnic enclaves, well-establish majority-black neighborhoods, and affluent suburbs exist side by side with vastly different healthcare concerns, disorganized governmental responses to the COVID-19 epidemic highlight the importance of efforts by CBOs (i.e. advocacy groups, neighborhood associations) to address the localized impacts of the virus. As an emerging immigrant gateway with a history of racial tension and inequality, Atlanta is a prime location to analyze the mediating role of community-based organizations in addressing health crises in communities of color in the New South. This study will examine CBOs in two prominent immigrant enclaves, Clarkston and the Buford Highway Corridor, as well as two majority-black localities, Stone Mountain and the city of Atlanta's West Side. My analysis of Atlanta CBOs' responses to the COVID crisis will focus on their efforts to disseminate public health information, provide resources and services addressing COVID externalities, and utilize social media platforms to engage with community members online.

Indexed as

AtlantaBlack CommunityCommunity-based organizationsCOVID-19Ethnic Enclaves

Identifiers

PMID40927602
PMCPMC12416241

What OpenQuestion holds

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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.