Evidence map›Paper›PMID 33655256›Full record

ArticlemedRxiv : the preprint server for health sciences2021

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 readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jess A MillarUniversity of Michigan - Department of Epidemiology, Department of Computational Medicine and Bioinformatics (Ann Arbor, MI, United States).
Hanh Dung N DaoUniversity of Oklahoma Health Sciences Center - Department of Biostatistics and Epidemiology (Oklahoma City, OK, United States).
Marianne E StefopulosChild Health Evaluative Sciences Program, SickKids Hospital (Toronto, Canada).
Camila G EstevamState University of Campinas - Department of Public Health (Campinas, SP, Brazil).
Katharine Fagan-GarciaUniversity of Alberta - Department of Medicine (Edmonton, AB, Canada).
Diana H TaftUniversity of California Davis - Department of Food Science and Technology (Davis, CA, United States).
Christopher ParkNew York University - College of Global Public Health (New York, NY, United States).
Amaal AlruwailySaudi Center for Disease Prevention and Control - Department of Non-Communicable Disease (Riyadh, Saudi Arabia).
Angel N DesaiDepartment of Internal Medicine, Division of Infectious Disease, University of California Davis Medical Center (Sacramento, CA, United States).
Maimuna S MajumderHarvard Medical School and Boston Children's Hospital (Boston, MA, United States).

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 HD040128
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.

Identifiers

PMID33655256
PMCPMC7924276

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.