Evidence map›Paper›PMID 37870127›Full record

ArticleDisaster medicine and public health preparedness2023

The Role of Location in the Spread of SARS-CoV-2: Examination of Cases and Exposed Contacts in South Texas, Using Social Network Analysis.

Eric C Jones, Daniella Rodriguez, David Gimeno Ruiz de Porras, Anita Kurian, Jack Tsai

Abstract read
In one paragraph

Article in Disaster medicine and public health preparedness, 2023. 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

5 authors.

Eric C JonesThe University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA.
Daniella RodriguezThe University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA.
David Gimeno Ruiz de PorrasSouthwest Center for Occupational and Environmental Health Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA.
Anita KurianSan Antonio Metropolitan Health District, San Antonio, TX, USA.
Jack TsaiThe University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA.ORCID 0000-0002-0329-648X

Funding

NIOSH CDC HHS T42 OH008421
6 · The paper itself

Abstract

objectiveThis study sought to better understand the types of locations that serve as hubs for the transmission of COVID-19.

methodsContact tracers interviewed individuals who tested positive for SARS-CoV-2 between November 2020 and March 2021, as well as the people with whom those individuals had contact. We conducted a 2-mode social network analysis of people by the types of places they visited, focusing on the forms of centrality exhibited by place types.

resultsThe most exposed locations were grocery stores, commercial stores, restaurants, commercial services, and schools. These types of locations also have the highest "betweenness," meaning that they tend to serve as hubs between other kinds of locations since people would usually visit more than 1 location in a day or when infected. The highest pairs of locations were grocery store/retail store, restaurant/retail store, and restaurant/grocery store. Schools are not at the top but are 3 times in the top 7 pairs of locations and connected to the 3 types of locations in those top pairs.

conclusionsAs the pandemic progressed, location hotspots shifted between businesses, schools, and homes. In this social network analysis, certain types of locations appeared to be potential hubs of transmission.

Indexed as

COVID-19SARS-CoV-2HumansSocial Network AnalysisTexas2-mode networksCOVIDdisease spreadhubsplaces

Identifiers

PMID37870127
PMCPMC12863971

What OpenQuestion holds

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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.