Evidence map›Paper›PMID 33619746›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2021

The Association of Social Determinants of Health With COVID-19 Mortality in Rural and Urban Counties.

Rajib Paul, Ahmed Arif, Kamana Pokhrel, Subhanwita Ghosh

Abstract read
In one paragraph

Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  14. Social-Economic Backgrounds to US County-Based COVID-19 Deaths: PLS-SEM Analysis.Journal of racial and ethnic health disparities · 2024
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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

4 authors.

Rajib PaulDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.ORCID 0000-0002-5120-7525
Ahmed ArifDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.ORCID 0000-0002-0237-9937
Kamana PokhrelHealth Analytics and Informatics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
Subhanwita GhoshDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.ORCID 0000-0002-0510-2917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify the county-level effects of social determinants of health (SDoH) on COVID-19 (corona virus disease 2019) mortality rates by rural-urban residence and estimate county-level exceedance probabilities for detecting clusters.

methodsThe county-level data on COVID-19 death counts as of October 23, 2020, were obtained from the Johns Hopkins University. SDoH data were collected from the County Health Ranking and Roadmaps, the US Department of Agriculture, and the Bureau of Labor Statistics. Semiparametric negative binomial regressions with expected counts based on standardized mortality rates as offset variables were fitted using integrated Laplace approximation. Bayesian significance was assessed by 95% credible intervals (CrI) of risk ratios (RR). County-level mortality hotspots were identified by exceedance probabilities.

findingsThe COVID-19 mortality rates per 100,000 were 65.43 for the urban and 50.78 for the rural counties. Percent of Blacks, HIV, and diabetes rates were significantly associated with higher mortality in rural and urban counties, whereas the unemployment rate (adjusted RR = 1.479, CrI = 1.171, 1.867) and residential segregation (adjusted RR = 1.034, CrI = 1.019, 1.050) were associated with increased mortality in urban counties. Counties with a higher percentage of college or associate degrees had lower COVID-19 mortality rates.

conclusionsSDoH plays an important role in explaining differential COVID-19 mortality rates and should be considered for resource allocations and policy decisions on operational needs for businesses and schools at county levels.

Indexed as

Social Determinants of HealthBlack or African AmericanBlack PeopleCOVID-19Diabetes MellitusFemaleHIV InfectionsHumansMaleRural PopulationSocial SegregationUnemploymentUnited StatesUrban PopulationBayesian inferencechronic diseasescluster analysisresidential segregationsocioeconomic status

Identifiers

PMID33619746
PMCPMC8014225

What OpenQuestion holds

Textmetadata
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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.