Evidence map›Paper›PMID 32552459›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Geovisualization and Spatial Analysis of Infant Mortality and Preterm Birth in Ohio, 2008-2015: Opportunities to Enhance Spatial Thinking.

Elisabeth Dowling Root, Emelie D Bailey, Tyler Gorham, Christopher Browning, Chi Song, Pamela Salsberry

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Evaluating Linkage Approaches for Address-Level Socioenvironmental Exposure Assessment.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  2. Article
  3. Article
  4. Spatiotemporal Patterns of Adverse Pregnancy Outcomes in Rural Areas of Henan, China.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Observational
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Elisabeth Dowling Root2647Department of Geography, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-9566-4031
Emelie D Bailey12306Ohio Colleges of Medicine Government Resource Center, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Tyler Gorham2650Nationwide Children's Hospital, Columbus, OH, USA.
Christopher Browning2647Department of Sociology, The Ohio State University, Columbus, OH, USA.
Chi Song2647Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA.
Pamela Salsberry2647Division of Health Behavior and Health Promotion, Center for Health Outcomes, Policy, and Evaluation Studies, College of Public Health, The Ohio State University, Columbus, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGeovisualization and spatial analysis are valuable tools for exploring and evaluating the complex social, economic, and environmental interactions that lead to spatial inequalities in health. The objective of this study was to describe spatial patterns of infant mortality and preterm birth in Ohio by using interactive mapping and spatial analysis.

methodsWe conducted a retrospective cohort study using Ohio vital statistics records from 2008-2015. We geocoded live births and infant deaths by using residential address at birth. We used multivariable logistic regression to adjust spatial and space-time cluster analyses that examined the geographic clustering of infant mortality and preterm birth and changes in spatial distribution over time.

resultsThe overall infant mortality rate in Ohio during the study period was 6.55 per 1000 births; of 1 097 507 births, 10.3% (n = 112 552) were preterm. We found significant geographic clustering of both infant mortality and preterm birth centered on large urban areas. However, when known demographic risk factors were taken into account, urban clusters disappeared and, for preterm birth, new rural clusters appeared.

conclusionsAlthough many public health agencies have the capacity to create maps of health outcomes, complex spatial analysis and geovisualization techniques are still challenging for public health practitioners to use and understand. We found that actively engaging policymakers in reviewing results of the cluster analysis improved understanding of the processes driving spatial patterns of birth outcomes in the state.

Indexed as

Geographic Information SystemsLive BirthPremature BirthSpatial AnalysisCohort StudiesFemaleForecastingHumansInfantInfant MortalityInfant, NewbornMaleOhioRetrospective StudiesRisk Factorsgeospatial analysisGISinfant mortalitypreterm birthprogram planningspatial clustersspatial thinking

Identifiers

PMID32552459
PMCPMC7383761

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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.