Evidence map›Paper›PMID 33793611›Full record

ArticlePloS one2021

A comprehensive analysis of COVID-19 transmission and mortality rates at the county level in the United States considering socio-demographics, health indicators, mobility trends and health care infrastructure attributes.

Tanmoy Bhowmik, Sudipta Dey Tirtha, Naveen Chandra Iraganaboina, Naveen Eluru

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 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.2field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 42 citations in OpenAlex.

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  8. The Effectiveness of Mobility Restrictions on Controlling the Spread of COVID-19 in a Resistant Population.International journal of environmental research and public health · 2023
    Article
  9. Mental and social burden of COVID-19 on the Iraqi people.The International journal of social psychiatry · 2023
    Article
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  12. Socioeconomic Deprivation, Sleep Duration, and Mental Health during the First Year of the COVID-19 Pandemic.International journal of environmental research and public health · 2022
    Article
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  15. Urban Determinants of COVID-19 Spread: a Comparative Study across Three Cities in New York State.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
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  18. An airport level framework for examining the impact of COVID-19 on airline demand.Transportation research. Part A, Policy and practice · 2022
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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

4 authors at 1 institution in 1 country.

Tanmoy BhowmikDepartment of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, Florida, United States of America.ORCID 0000-0002-0258-1692
Sudipta Dey TirthaDepartment of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, Florida, United States of America.ORCID 0000-0002-6228-0904
Naveen Chandra IraganaboinaDepartment of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, Florida, United States of America.
Naveen EluruDepartment of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, Florida, United States of America.
University of Central Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral research efforts have evaluated the impact of various factors including a) socio-demographics, (b) health indicators, (c) mobility trends, and (d) health care infrastructure attributes on COVID-19 transmission and mortality rate. However, earlier research focused only on a subset of variable groups (predominantly one or two) that can contribute to the COVID-19 transmission/mortality rate. The current study effort is designed to remedy this by analyzing COVID-19 transmission/mortality rates considering a comprehensive set of factors in a unified framework. METHODS AND

findingsWe study two per capita dependent variables: (1) daily COVID-19 transmission rates and (2) total COVID-19 mortality rates. The first variable is modeled using a linear mixed model while the later dimension is analyzed using a linear regression approach. The model results are augmented with a sensitivity analysis to predict the impact of mobility restrictions at a county level. Several county level factors including proportion of African-Americans, income inequality, health indicators associated with Asthma, Cancer, HIV and heart disease, percentage of stay at home individuals, testing infrastructure and Intensive Care Unit capacity impact transmission and/or mortality rates. From the policy analysis, we find that enforcing a stay at home order that can ensure a 50% stay at home rate can result in a potential reduction of about 33% in daily cases.

conclusionsThe model framework developed can be employed by government agencies to evaluate the influence of reduced mobility on transmission rates at a county level while accommodating for various county specific factors. Based on our policy analysis, the study findings support a county level stay at home order for regions currently experiencing a surge in transmission. The model framework can also be employed to identify vulnerable counties that need to be prioritized based on health indicators for current support and/or preferential vaccination plans (when available).

Indexed as

COVID-19Delivery of Health CareSocioeconomic FactorsDemographyHealth FacilitiesHealth PolicyHumansPandemicsRisk FactorsUnited States

Identifiers

PMID33793611
PMCPMC8016225
OpenAlexW3148846025

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.