Evidence map›Paper›PMID 34501577›Full record

ArticleInternational journal of environmental research and public health2021

COVID-19 Deaths in the United States: Shifts in Hot Spots over the Three Phases of the Pandemic and the Spatiotemporally Varying Impact of Pandemic Vulnerability.

Yoo Min Park, Gregory D Kearney, Bennett Wall, Katherine Jones, Robert J Howard, Ray H Hylock

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence.International journal of environmental research and public health · 2022
    Pooled it
  3. Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  4. Article
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  11. Spatial Analysis of COVID-19 Vaccination: A Scoping Review.International journal of environmental research and public health · 2021
    Article
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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

6 authors at 2 institutions in 1 country.

Yoo Min ParkDepartment of Geography, Planning and Environment, East Carolina University, Greenville, NC 27858, USA.ORCID 0000-0003-1860-4489
Gregory D KearneyDepartment of Public Health, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA.ORCID 0000-0001-9684-9516
Bennett WallVidant Medical Center, Greenville, NC 27835, USA.ORCID 0000-0002-5977-0347
Katherine JonesDepartment of Public Health, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA.
Robert J HowardDepartment of Geography, Planning and Environment, East Carolina University, Greenville, NC 27858, USA.
Ray H HylockDepartment of Health Services and Information Management, East Carolina University, Greenville, NC 27834, USA.ORCID 0000-0002-3125-8843
East Carolina University · USVidant Medical Center · US

Funding

North Carolina General Assembly N/A
6 · The paper itself

Abstract

The geographic areas most impacted by COVID-19 may not remain static because public health measures/behaviors change dynamically, and the impacts of pandemic vulnerability also may vary geographically and temporally. The nature of the pandemic makes spatiotemporal methods essential to understanding the distribution of COVID-19 deaths and developing interventions. This study examines the spatiotemporal trends in COVID-19 death rates in the United States from March 2020 to May 2021 by performing an emerging hot spot analysis (EHSA). It then investigates the effects of the COVID-19 time-dependent and basic social vulnerability factors on COVID-19 death rates using geographically and temporally weighted regression (GTWR). The EHSA results demonstrate that over the three phases of the pandemic (first wave, second wave, and post-vaccine deployment), hot spots have shifted from densely populated cities and the states with a high percentage of socially vulnerable individuals to the states with relatively relaxed social distancing requirements, and then to the states with low vaccination rates. The GTWR results suggest that local infection and testing rates, social distancing interventions, and other social, environmental, and health risk factors show significant associations with COVID-19 death rates, but these associations vary over time and space. These findings can inform public health planning.

Indexed as

COVID-19PandemicsHumansPublic HealthRisk FactorsSARS-CoV-2United StatescoronavirusCOVID-19 mortalityemerging hot spot analysisgeographically and temporally weighted regressionhealth disparitypandemic vulnerability indexsocial vulnerabilityspace-time cube

Identifiers

PMID34501577
PMCPMC8431027
OpenAlexW3195085286

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.