دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: An Application of Social Vulnerability Index to Infant Mortality Rates in Ohio Using Geospatial Analysis- A Cross-Sectional Study.
المؤلفون: Polavarapu M; Department 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., Barasa TN; Jack Ford Urban Affairs Center, The University of Toledo, Toledo, OH, 43606, USA., Singh S; Department of Population Health, The University of Toledo, HH 1010, Mail Stop 119 2801 W. Bancroft St, Toledo, OH, 43606-3390, USA., Orbain MM; Toledo-Lucas County Health Department, Toledo, OH, 43604, USA., Ibrahim S; Department of Population Health, The University of Toledo, HH 1010, Mail Stop 119 2801 W. Bancroft St, Toledo, OH, 43606-3390, USA.
المصدر: Maternal and child health journal [Matern Child Health J] 2024 Jun; Vol. 28 (6), pp. 999-1009. Date of Electronic Publication: 2024 Mar 05.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 9715672 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-6628 (Electronic) Linking ISSN: 10927875 NLM ISO Abbreviation: Matern Child Health J Subsets: MEDLINE
أسماء مطبوعة: Publication: 1999- : New York, NY : Kluwer Academic/Plenum Publishers
Original Publication: New York : Plenum Press, c1997-
مواضيع طبية MeSH: Infant Mortality*/trends , Spatial Analysis* , Social Vulnerability*, Humans ; Ohio/epidemiology ; Infant ; Cross-Sectional Studies ; Female ; Male ; Socioeconomic Factors ; Infant, Newborn ; Vulnerable Populations/statistics & numerical data ; Poverty/statistics & numerical data
مستخلص: Background: Ohio ranks 43rd in the nation in infant mortality rates (IMR); with IMR among non-Hispanic black infants is three times higher than white infants.
Objective: To 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.
Methods: The social vulnerability index (SVI CDC ) is a measure of the relative social vulnerability of a geographic unit. Five out of 15 social variables in the SVI CDC were utilized to create a customized index for IMR (SVI IMR ) in Ohio. The bivariate descriptive maps and spatial lag model were applied to visualize the quantitative relationship between SVI IMR and IMR, accounting for the spatial autocorrelation in the data.
Results: Southeastern counties in Ohio displayed highest IMRs and highest overall SVI IMR ; specifically, highest vulnerability to poverty, no high school diploma, and mobile housing. In contrast, extreme northwestern counties exhibited high IMRs but lower overall SVI IMR . Spatial regression showed five clusters where vulnerability to low per capita income in one county significantly impacted IMR (p = 0.001) in the neighboring counties within each cluster. At the census tract-level within Lucas county, the Toledo city area (compared to the remaining county) had higher overlap between high IMR and SVI IMR .
Conclusion: The 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.
(© 2024. The Author(s).)
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فهرسة مساهمة: Keywords: Infant Mortality rate; Relative Social Vulnerability; Social Vulnerability Index
تواريخ الأحداث: Date Created: 20240305 Date Completed: 20240429 Latest Revision: 20240502
رمز التحديث: 20240502
مُعرف محوري في PubMed: PMC11058605
DOI: 10.1007/s10995-024-03925-3
PMID: 38441865
قاعدة البيانات: MEDLINE
الوصف
تدمد:1573-6628
DOI:10.1007/s10995-024-03925-3