Evidence map›Paper›PMID 34847149›Full record

ArticlePloS one2021

Community versus individual risk of SARS-CoV-2 infection in two municipalities of Louisiana, USA: An assessment of Area Deprivation Index (ADI) paired with seroprevalence data over time.

Amy K Feehan, Kara D Denstel, Peter T Katzmarzyk, Cruz Velasco, Jeffrey H Burton, Eboni G Price-Haywood, Leonardo Seoane

Abstract readComparative Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Exploring barriers to SARS-CoV-2 testing uptake in underserved black communities in Louisiana.American journal of human biology : the official journal of the Human Biology Council · 2023
    Observational
  5. Observational
  6. Article
  7. Community seroprevalence and risk factors for SARS-CoV-2 infection in different subpopulations in Vellore, India, and their implications for future prevention.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  8. Observational
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

7 authors.

Amy K FeehanOchsner Clinic Foundation, New Orleans, LA, United States of America.ORCID 0000-0002-2899-0670
Kara D DenstelPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States of America.
Peter T KatzmarzykPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States of America.
Cruz VelascoOchsner Clinic Foundation, New Orleans, LA, United States of America.
Jeffrey H BurtonOchsner Clinic Foundation, New Orleans, LA, United States of America.
Eboni G Price-HaywoodOchsner Clinic Foundation, New Orleans, LA, United States of America.
Leonardo SeoaneOchsner Clinic Foundation, New Orleans, LA, United States of America.ORCID 0000-0001-9262-6673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDetermine whether an individual is at greater risk of severe acute respiratory distress syndrome coronavirus 2 (SARS-CoV-2) infection because of their community or their individual risk factors. STUDY DESIGN AND

setting4,752 records from two large prevalence studies in New Orleans and Baton Rouge, Louisiana were used to assess whether zip code tabulation areas (ZCTA)-level area deprivation index (ADI) or individual factors accounted for risk of infection. Logistic regression models assessed associations of individual-level demographic and socioeconomic factors and the zip code-level ADI with SARS-CoV-2 infection.

resultsIn the unadjusted model, there were increased odds of infection among participants residing in high versus low ADI (both cities) and high versus mid-level ADI (Baton Rouge only) zip codes. When individual-level covariates were included, the odds of infection remained higher only among Baton Rouge participants who resided in high versus mid-level ADI ZCTAs. Several individual factors contributed to infection risk. After adjustment for ADI, race and age (Baton Rouge) and race, marital status, household size, and comorbidities (New Orleans) were significant.

conclusionsWhile higher ADI was associated with higher risk of SARS-CoV-2 infection, individual-level participant characteristics accounted for a significant proportion of this association. Additionally, stage of the pandemic may affect individual risk factors for infection.

Indexed as

Residence CharacteristicsSocial DeprivationAdolescentAdultAgedAged, 80 and overCitiesCOVID-19FemaleHumansMaleMiddle AgedNew OrleansProbabilityRisk FactorsSARS-CoV-2

Identifiers

PMID34847149
PMCPMC8631658

What Socratic 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 Socratic graph.