Evidence map›Paper›PMID 32752590›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2020

Social Determinants of COVID-19 in Massachusetts, United States: An Ecological Study.

Devan Hawkins

Abstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Perceptions of COVID-19 Risk: How Did People Adapt to the Novel Risk?Medical decision making : an international journal of the Society for Medical Decision Making · 2024
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  16. The price of COVID-19 risk in a public university.Economics of education review · 2023
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  19. Predisposing, Enabling, and Reinforcing Factors of COVID-19 Prevention Behavior in Indonesia: A Mixed-methods Study.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023
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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

1 author.

Devan HawkinsInstructor of Public Health, Public Health Program, School of Arts and Sciences, MCPHS University, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to assess how different social determinants of health (SDoH) may be related to variability in coronavirus disease 2019 (COVID-19) rates in cities and towns in Massachusetts (MA).

methodsData about the total number of cases, tests, and rates of COVID-19 as of June 10, 2020 were obtained for cities and towns in MA. The data on COVID-19 were matched with data on various SDoH variables at the city and town level from the American Community Survey. These variables included information about income, poverty, employment, renting, and insurance coverage. We compared COVID-19 rates according to these SDoH variables.

resultsThere were clear gradients in the rates of COVID-19 according to SDoH variables. Communities with more poverty, lower income, lower insurance coverage, more unemployment, and a higher percentage of the workforce employed in essential services, including healthcare, had higher rates of COVID-19. Most of these differences were not accounted for by different rates of testing in these cities and towns.

conclusionsSDoH variables may explain some of the variability in the risk of COVID-19 across cities and towns in MA. Data about SDoH should be part of the standard surveillance for COVID-19. Efforts should be made to address social factors that may be putting communities at an elevated risk.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19FemaleHumansMaleMassachusettsPandemicsPneumonia, ViralPovertySARS-CoV-2Social Determinants of HealthSurveys and QuestionnairesCovid-19InequalitySocial determinantsUnited States

Identifiers

PMID32752590
PMCPMC7411251

What OpenQuestion holds

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LicenceCC BY-NC
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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.