ArticleAnnals of medicine2021
Disparities in case frequency and mortality of coronavirus disease 2019 (COVID-19) among various states in the United States.
Article in Annals of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of racial/ethnic and socioeconomic disparities in COVID-19.International journal for equity in health · 2021Pooled it
- History of self-reported COVID-19 cases and hospitalizations in the Brazilian population: a countrywide survey.International journal of epidemiology · 2026Article
- Social inequalities in SARS-CoV-2 infection in high income countries: highlighting the need for an intersectional perspective in quantitative research.Frontiers in public health · 2025Review
- Socioeconomic factors and COVID-19 mortality in immune-mediated rheumatic diseases patients: regional analysis from Argentina, Mexico and Brazil.Advances in rheumatology (London, England) · 2024Article
- Racial, socioeconomic, and neighborhood characteristics in relation to COVID-19 severity of illness for adolescents and young adults.PNAS nexus · 2023Article
- Effect of COVID-19 pandemic on blood transfusion service: an experience from a regional blood transfusion center.Blood science (Baltimore, Md.) · 2023Article
- Three dimensions of COVID-19 risk perceptions and their socioeconomic correlates in the United States: A social media analysis.Risk analysis : an official publication of the Society for Risk Analysis · 2023Article
- Implementation of a novel program to support colorectal cancer screening in a community health center consortium before and after the onset of COVID-19: a qualitative study of stakeholders' perspectives.Implementation science communications · 2023Article
- Deaths during the first year of the COVID-19 pandemic: insights from regional patterns in Germany and Poland.BMC public health · 2023Article
- Associations between mortality from COVID-19 and other causes: A state-level analysis.PloS one · 2023Article
- Profile of Co-Infection Prevalence and Antibiotics Use among COVID-19 Patients.Pathogens (Basel, Switzerland) · 2022Article
- Article
- Fatigue Is a Major Symptom at COVID-19 Hospitalization Follow-Up.Journal of clinical medicine · 2022Article
- Imaging of COVID-19.Seminars in roentgenology · 2022Article
- A Retrospective Analysis of the Bacterial Infections, Antibiotic Use, and Mortality Predictors of COVID-19 Patients.International journal of general medicine · 2022Article
- Article
- COVID-19 in Pediatrics.Rheumatic diseases clinics of North America · 2021Review
- COVID-19 in Liver Transplant Recipients: A Systematic Review.Journal of clinical medicine · 2021Review
- Ensemble machine learning of factors influencing COVID-19 across US counties.Scientific reports · 2021Article
- Epidemiological and clinical characteristics of 65 hospitalized patients with COVID-19 in Liaoning, China.World journal of clinical cases · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo utilize publicly reported, state-level data to identify factors associated with the frequency of cases, tests, and mortality in the USA. MATERIALS AND
methodsRetrospective study using publicly reported data collected included the number of COVID-19 cases, tests and mortality from March 14th through April 30th. Publicly available state-level data was collected which included: demographics comorbidities, state characteristics and environmental factors. Univariate and multivariate regression analyses were performed to identify the significantly associated factors with percent mortality, case and testing frequency. All analyses were state-level analyses and not patient-level analyses.
resultsA total of 1,090,500 COVID-19 cases were reported during the study period. The calculated case and testing frequency were 3332 and 19,193 per 1,000,000 patients. There were 63,642 deaths during this period which resulted in a mortality of 5.8%. Factors including to but not limited to population density (beta coefficient 7.5,
conclusionsThere were wide variations in testing and case frequencies of COVID-19 among different states in the US. States with higher population density had a higher case and testing rate. States with larger population of elderly and higher tourism had a higher mortality. Key messages There were wide variations in testing and case frequencies of COVID-19 among different states in the USA. States with higher population density had a higher case and testing rate. States with larger population of elderly and higher tourism had a higher mortality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.