Evidence map›Paper›PMID 34048904›Full record

ArticleAnnals of epidemiology2021

Dynamics of Covid-19 mortality and social determinants of health: a spatiotemporal analysis of exceedance probabilities.

Rajib Paul, Oluwaseun Adeyemi, Subhanwita Ghosh, Kamana Pokhrel, Ahmed A Arif

Abstract read
In one paragraph

Article in Annals of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Pooled it
  3. 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
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  9. Inequality in COVID-19 mortality in Quebec associated with neighbourhood-level vulnerability domains.Canadian journal of public health = Revue canadienne de sante publique · 2024
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  11. Simulating and Forecasting the COVID-19 Spread in a U.S. Metropolitan Region with a Spatial SEIR Model.International journal of environmental research and public health · 2022
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  12. Review
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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

5 authors.

Rajib PaulDepartment of Public Health Sciences, the University of North Carolina at Charlotte, 9201 University City Blvd, NC. Electronic address: Rajib.Paul@uncc.edu.
Oluwaseun AdeyemiDepartment of Public Health Sciences, the University of North Carolina at Charlotte, 9201 University City Blvd, NC.
Subhanwita GhoshDepartment of Public Health Sciences, the University of North Carolina at Charlotte, 9201 University City Blvd, NC.
Kamana PokhrelHealth Informatics and Analytics, the University of North Carolina at Charlotte, 9201 University City Blvd, NC.
Ahmed A ArifDepartment of Public Health Sciences, the University of North Carolina at Charlotte, 9201 University City Blvd, NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the association of social factors with Covid-19 mortality and identify high-risk clusters.

methodsData on Covid-19 deaths across 3,108 contiguous U.S. counties from the Johns Hopkins University and social determinants of health (SDoH) data from the County Health Ranking and the Bureau of Labor Statistics were fitted to Bayesian semi-parametric spatiotemporal Negative Binomial models, and 95% credible intervals (CrI) of incidence rate ratios (IRR) were used to assess the associations. Exceedance probabilities were used for detecting clusters.

resultsAs of October 31, 2020, the median mortality rate was 40.05 per 100, 000. The monthly urban mortality rates increased with unemployment (IRR

conclusionsSpatiotemporal analyses enabled the inclusion of unobserved latent risk factors and aid in scientifically grounded decision-making at a granular level.

Indexed as

COVID-19Social Determinants of HealthBayes TheoremFemaleHumansRisk FactorsSARS-CoV-2Spatio-Temporal AnalysisUnited StatesBayesian AnalysisDisparityEducationHotspotsInfectious DiseaseResidential Segregation

Identifiers

PMID34048904
PMCPMC8451980

What OpenQuestion holds

Textmetadata
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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.