Evidence map›Paper›PMID 34388054›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Geographic Associations Between Social Factors and SARS-CoV-2 Testing Early in the COVID-19 Pandemic, February-June 2020, Massachusetts.

Scott Troppy, Grete E Wilt, Ari Whiteman, Elaine Hallisey, Molly Crockett, J Danielle Sharpe, Gillian Haney, Kevin Cranston, R Monina Klevens

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence.International journal of environmental research and public health · 2022
    Pooled it
  2. Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

9 authors.

Scott Troppy1854521712 Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Grete E Wilt1242 Geospatial Research, Analysis, and Services Program (GRASP), Office of Innovation and Analytics, Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, Atlanta, GA, USA.
Ari Whiteman1242 Geospatial Research, Analysis, and Services Program (GRASP), Office of Innovation and Analytics, Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, Atlanta, GA, USA.
Elaine Hallisey1242 Geospatial Research, Analysis, and Services Program (GRASP), Office of Innovation and Analytics, Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, Atlanta, GA, USA.ORCID 0000-0002-9733-9611
Molly Crockett1854521712 Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
J Danielle Sharpe1242 Geospatial Research, Analysis, and Services Program (GRASP), Office of Innovation and Analytics, Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, Atlanta, GA, USA.
Gillian Haney1854521712 Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Kevin Cranston1854521712 Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
R Monina Klevens1854521712 Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.ORCID 0000-0003-2073-5576

Funding

Training Program in Environmental EpidemiologyT32ES007069 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LADEN, FRANCINE · 1985 to 2024
$13.9M
NIEHS NIH HHS T32 ES007069
6 · The paper itself

Abstract

objectivesWidespread SARS-CoV-2 testing is critical to identify infected people and implement public health action to interrupt transmission. With SARS-CoV-2 testing supplies and laboratory capacity now widely available in the United States, understanding the spatial heterogeneity of associations between social determinants and the use of SARS-CoV-2 testing is essential to improve testing availability in populations disproportionately affected by SARS-CoV-2.

methodsWe assessed positive and negative results of SARS-CoV-2 molecular tests conducted from February 1 through June 17, 2020, from the Massachusetts Virtual Epidemiologic Network, an integrated web-based surveillance and case management system in Massachusetts. Using geographically weighted regression and Moran's

resultsMedian SARS-CoV-2 testing rates decreased with increasing percentages of residents with limited English proficiency (median relative risk [interquartile range] = 0.96 [0.95-0.99]), residents aged ≥65 (0.97 [0.87-0.98]), residents without health insurance (0.96 [0.95-1.04], and people residing in crowded housing conditions (0.89 [0.80-0.94]). These associations differed spatially across Massachusetts, and localized models improved the explainable variation in SARS-CoV-2 testing rates by 8% to 12%.

conclusionIndicators of social vulnerability are associated with variations in SARS-CoV-2 testing rates. Accounting for the spatial heterogeneity in these associations may improve the ability to explain and address the SARS-CoV-2 pandemic at substate levels.

Indexed as

Age FactorsCOVID-19COVID-19 TestingHousingHumansLanguageMassachusettsPandemicsPublic HealthSARS-CoV-2Socioeconomic FactorsSpatial AnalysisVulnerable PopulationsCOVID-19social vulnerabilityspatial analysis

Identifiers

PMID34388054
PMCPMC8579387

What OpenQuestion holds

Textmetadata
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.