Evidence map›Paper›PMID 38441865›Full record

ArticleMaternal and child health journal2024

An Application of Social Vulnerability Index to Infant Mortality Rates in Ohio Using Geospatial Analysis- A Cross-Sectional Study.

Mounika Polavarapu, Topista N Barasa, Shipra Singh, Matthew M Orbain, Safa Ibrahim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Maternal and child health journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mounika PolavarapuDepartment of Population Health, The University of Toledo, HH 1010, Mail Stop 119 2801 W. Bancroft St, Toledo, OH, 43606-3390, USA. mounika.polavarapu@utoledo.edu.ORCID http://orcid.org/0000-0001-5884-0879
Topista N BarasaJack Ford Urban Affairs Center, The University of Toledo, Toledo, OH, 43606, USA.
Shipra SinghDepartment of Population Health, The University of Toledo, HH 1010, Mail Stop 119 2801 W. Bancroft St, Toledo, OH, 43606-3390, USA.
Matthew M OrbainToledo-Lucas County Health Department, Toledo, OH, 43604, USA.
Safa IbrahimDepartment of Population Health, The University of Toledo, HH 1010, Mail Stop 119 2801 W. Bancroft St, Toledo, OH, 43606-3390, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOhio ranks 43rd in the nation in infant mortality rates (IMR); with IMR among non-Hispanic black infants is three times higher than white infants.

objectiveTo identify the social factors determining the vulnerability of Ohio counties to IMR and visualize the spatial association between relative social vulnerability and IMR at county and census tract levels.

methodsThe social vulnerability index (SVI

resultsSoutheastern counties in Ohio displayed highest IMRs and highest overall SVI

conclusionThe application of SVI using geospatial techniques could identify priority areas, where social factors are increasing the vulnerability to infant mortality rates, for potential interventions that could reduce disparities through strategic and equitable policies.

Indexed as

Infant MortalitySocial VulnerabilitySpatial AnalysisCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleOhioPovertySocioeconomic FactorsVulnerable PopulationsInfant Mortality rateRelative Social VulnerabilitySocial Vulnerability Index

Identifiers

PMID38441865
PMCPMC11058605

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.