Evidence map›Paper›PMID 33760849›Full record

ArticlePloS one2021

Spatial and temporal trends in social vulnerability and COVID-19 incidence and death rates in the United States.

Brian Neelon, Fedelis Mutiso, Noel T Mueller, John L Pearce, Sara E Benjamin-Neelon

Open access · goldAbstract read
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 65 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 4 pooled it
12.1field-weighted citation impact, top 1% of its field
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

65 citing papers in PubMed, 4 syntheses or guidelines pooled it, 105 citations in OpenAlex.

  1. Pooled it
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  4. What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence.International journal of environmental research and public health · 2022
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  11. The Dynamic Impact of Community Social Vulnerability on COVID-19 Outcomes: A Census Tract-level Analysis of Fulton County, Georgia.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
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  17. 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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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Brian NeelonDivision of Biostatistics, Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, United States of America.ORCID 0000-0002-8929-6033
Fedelis MutisoDivision of Biostatistics, Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, United States of America.
Noel T MuellerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
John L PearceDivision of Environmental Health, Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, United States of America.
Sara E Benjamin-NeelonDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Medical University of South Carolina · USJohns Hopkins University · US

Funding

The Effects of Diet on the Gut Microbiome and Short Chain Fatty AcidsK01HL141589 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI MUELLER, NOEL T · 2018 to 2022
$845k
NHLBI NIH HHS K01 HL141589
6 · The paper itself

Abstract

backgroundSocially vulnerable communities may be at higher risk for COVID-19 outbreaks in the US. However, no prior studies examined temporal trends and differential effects of social vulnerability on COVID-19 incidence and death rates. Therefore, we examined temporal trends among counties with high and low social vulnerability to quantify disparities in trends over time.

methodsWe conducted a longitudinal analysis examining COVID-19 incidence and death rates from March 15 to December 31, 2020, for each US county using data from USAFacts. We classified counties using the Social Vulnerability Index (SVI), a percentile-based measure from the Centers for Disease Control and Prevention, with higher values indicating more vulnerability. Using a Bayesian hierarchical negative binomial model, we estimated daily risk ratios (RRs) comparing counties in the first (lower) and fourth (upper) SVI quartiles, adjusting for rurality, percentage in poor or fair health, percentage female, percentage of smokers, county average daily fine particulate matter (PM2.5), percentage of primary care physicians per 100,000 residents, daily temperature and precipitation, and proportion tested for COVID-19.

resultsAt the outset of the pandemic, the most vulnerable counties had, on average, fewer cases per 100,000 than least vulnerable SVI quartile. However, on March 28, we observed a crossover effect in which the most vulnerable counties experienced higher COVID-19 incidence rates compared to the least vulnerable counties (RR = 1.05, 95% PI: 0.98, 1.12). Vulnerable counties had higher death rates starting on May 21 (RR = 1.08, 95% PI: 1.00,1.16). However, by October, this trend reversed and the most vulnerable counties had lower death rates compared to least vulnerable counties.

conclusionsThe impact of COVID-19 is not static but can migrate from less vulnerable counties to more vulnerable counties and back again over time.

Indexed as

Health Status DisparitiesBayes TheoremCOVID-19Databases, FactualFemaleHumansIncidenceLongitudinal StudiesMalePandemicsSARS-CoV-2Socioeconomic FactorsUnited StatesVulnerable Populations

Identifiers

PMID33760849
PMCPMC7990180
OpenAlexW3138471714

What OpenQuestion holds

Textmetadata
LicenceCC0
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.