Evidence map›Paper›PMID 34257481›Full record

ArticleTransport policy2021

Identifying areas of potential critical healthcare shortages: A case study of spatial accessibility to ICU beds during the COVID-19 pandemic in Florida.

Kyusik Kim, Mahyar Ghorbanzadeh, Mark W Horner, Eren Erman Ozguven

Abstract read
In one paragraph

Article in Transport policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  10. Tempo-Spatial Modelling of the Spread of COVID-19 in Urban Spaces.International journal of environmental research and public health · 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.

Kyusik KimDepartment of Geography, Florida State University, 600 W College Avenue, Tallahassee, FL, 32306, USA.
Mahyar GhorbanzadehDepartment of Civil and Environmental Engineering, Florida A&M University-Florida State University College of Engineering, Florida State University, 2525 Pottsdamer Street, Tallahassee, FL, 32310, USA.
Mark W HornerDepartment of Geography, Florida State University, 600 W College Avenue, Tallahassee, FL, 32306, USA.
Eren Erman OzguvenDepartment of Civil and Environmental Engineering, Florida A&M University-Florida State University College of Engineering, Florida State University, 2525 Pottsdamer Street, Tallahassee, FL, 32310, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare resource availability is potentially associated with COVID-19 mortality, and the potentially uneven geographical distribution of resources is a looming concern in the global pandemic. Given that access to healthcare resources is important to overall population health, assessing COVID-19 patients' access to healthcare resources is needed. This paper aims to examine the temporal variations in the spatial accessibility of the U.S. COVID-19 patients to medical facilities, identify areas that are likely to be overwhelmed by the COVID-19 pandemic, and explore associations of low access areas with their socioeconomic and demographic characteristics. We use a three-step floating catchment area method, spatial statistics, and logistic regression to achieve the goals. Findings of this research in the State of Florida revealed that North Florida, rural areas, and zip codes with more Latino or Hispanic populations are more likely to have lower access than other regions during the COVID-19 pandemic. Our approach can help policymakers identify potentially possible low access areas and establish appropriate policy intervention paying attention to those areas during a pandemic.

Indexed as

3SFCAAccess to ICU bedsCOVID-19Space-time assessmentSpatial accessibility

Identifiers

PMID34257481
PMCPMC8263167

What OpenQuestion holds

Textmetadata
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Registered trials

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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.