Evidence map›Paper›PMID 34648525›Full record

ArticlePloS one2021

Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave.

Jess A Millar, Hanh Dung N Dao, Marianne E Stefopulos, Camila G Estevam, Katharine Fagan-Garcia, Diana H Taft, Christopher Park, Amaal Alruwaily, Angel N Desai, Maimuna S Majumder

Abstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jess A MillarDepartment of Epidemiology, Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0001-8945-3396
Hanh Dung N DaoDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America.ORCID 0000-0001-9080-7243
Marianne E StefopulosChild Health Evaluative Sciences Program, SickKids Hospital, Toronto, Canada.
Camila G EstevamDepartment of Public Health, State University of Campinas, Campinas, SP, Brazil.
Katharine Fagan-GarciaDepartment of Medicine, University of Alberta, Edmonton, AB, Canada.
Diana H TaftDepartment of Food Science and Technology, University of California Davis, Davis, CA, United States of America.
Christopher ParkCollege of Global Public Health, New York University, New York, NY, United States of America.
Amaal AlruwailyIndependent Scholar, Riyadh, Saudi Arabia.
Angel N DesaiDivision of Infectious Disease, Department of Internal Medicine, University of California Davis Medical Center, Sacramento, CA, United States of America.
Maimuna S MajumderHarvard Medical School and Boston Children's Hospital, Boston, MA, United States of America.

Funding

RESEARCH TRAINING IN PEDIATRIC EMERGENCY MEDICINET32HD040128 · NICHD · CHILDREN'S HOSPITAL BOSTON · PI Kenneth D. Mandl · 2001 to 2026
$5.0M
Effects of Bifidobacterium Dominance on the Infant MicrobiomeF32HD093185 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI TAFT, DIANA HAZARD · 2017 to 2020
$218k
NICHD NIH HHS F32 HD093185NICHD NIH HHS T32 HD040128NIH HHS 1F32HD093185-03
6 · The paper itself

Abstract

The ongoing COVID-19 pandemic is causing significant morbidity and mortality across the US. In this ecological study, we identified county-level variables associated with the COVID-19 case-fatality rate (CFR) using publicly available datasets and a negative binomial generalized linear model. Variables associated with decreased CFR included a greater number of hospitals per 10,000 people, banning religious gatherings, a higher percentage of people living in mobile homes, and a higher percentage of uninsured people. Variables associated with increased CFR included a higher percentage of the population over age 65, a higher percentage of Black or African Americans, a higher asthma prevalence, and a greater number of hospitals in a county. By identifying factors that are associated with COVID-19 CFR in US counties, we hope to help officials target public health interventions and healthcare resources to locations that are at increased risk of COVID-19 fatalities.

Indexed as

Age FactorsCOVID-19Cross-Sectional StudiesFemaleHumansMaleModels, TheoreticalPandemicsPrognosisRisk FactorsUnited States

Identifiers

PMID34648525
PMCPMC8516194

What OpenQuestion holds

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LicenceCC BY
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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.