Evidence map›Paper›PMID 32736312›Full record

ArticleHealth & place2020

Spatiotemporal transmission dynamics of the COVID-19 pandemic and its impact on critical healthcare capacity.

Diego F Cuadros, Yanyu Xiao, Zindoga Mukandavire, Esteban Correa-Agudelo, Andrés Hernández, Hana Kim, Neil J MacKinnon

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health & place, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 9% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A mobility-adjusted framework for regional RBMC infectious diseases · 2025
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  17. Spatial Syndromic Surveillance and COVID-19 in the U.S.: Local Cluster Mapping for Pandemic Preparedness.International journal of environmental research and public health · 2022
    Article
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  19. Review
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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

7 authors at 2 institutions in 2 countries.

Diego F CuadrosDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, USA; Health Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, OH, USA; Geospatial Health Advising Group, University of Cincinnati, Cincinnati, OH, USA. Electronic address: diego.cuadros@uc.edu.
Yanyu XiaoGeospatial Health Advising Group, University of Cincinnati, Cincinnati, OH, USA; Department of Mathematical Sciences, University of Cincinnati, Cincinnati, USA.
Zindoga MukandavireCentre for Data Science, Coventry University, UK; School of Computing, Electronics and Mathematics, Coventry University, UK.
Esteban Correa-AgudeloDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, USA; Health Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, OH, USA; Geospatial Health Advising Group, University of Cincinnati, Cincinnati, OH, USA.
Andrés HernándezDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, USA; Health Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, OH, USA; Geospatial Health Advising Group, University of Cincinnati, Cincinnati, OH, USA.
Hana KimDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, USA; Health Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, OH, USA; Geospatial Health Advising Group, University of Cincinnati, Cincinnati, OH, USA.
Neil J MacKinnonGeospatial Health Advising Group, University of Cincinnati, Cincinnati, OH, USA; James L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, OH, USA.
University of Cincinnati · USCoventry University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of geospatial disparities in the dynamics of the COVID-19 pandemic is poorly understood. We developed a spatially-explicit mathematical model to simulate transmission dynamics of COVID-19 disease infection in relation with the uneven distribution of the healthcare capacity in Ohio, U.S. The results showed substantial spatial variation in the spread of the disease, with localized areas showing marked differences in disease attack rates. Higher COVID-19 attack rates experienced in some highly connected and urbanized areas (274 cases per 100,000 people) could substantially impact the critical health care response of these areas regardless of their potentially high healthcare capacity compared to more rural and less connected counterparts (85 cases per 100,000). Accounting for the spatially uneven disease diffusion linked to the geographical distribution of the critical care resources is essential in designing effective prevention and control programmes aimed at reducing the impact of COVID-19 pandemic.

Indexed as

Coronavirus InfectionsHealth Services AccessibilityHospital Bed CapacityIntensive Care UnitsPneumonia, ViralSpatial AnalysisBetacoronavirusCOVID-19HumansIncidenceModels, TheoreticalOhioPandemicsRural PopulationSARS-CoV-2COVID-19Critical healthcare capacitySpatial epidemiologySpatially-explicit mathematical modelTransport connectivity

Identifiers

PMID32736312
PMCPMC7381891
OpenAlexW3044055761

What OpenQuestion holds

Textmetadata
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.