SAS Programming and Data Analysis

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Details

The research was performed to analyze the 2021 National Immunization Survey-Teen (NIS-Teen) data to assess vaccination coverage among U.S. adolescents aged 13-17, focusing on the completion of 3+ HPV shots. Using a cell phone sampling strategy, 18,002 adolescents were sampled, and their vaccination records were verified through healthcare providers. The result determined that there is a significant association between vaccination status and demographic factors such as age, sex, race/ethnicity, mother's education, insurance type, and geographic region, with higher coverage observed among older adolescents, those with educated mothers, and those with private insurance or Medicaid. I used Logistic regression to confirm disparities across regions, with Rhode Island and Hawaii showing the highest coverage rates and Mississippi the lowest. The findings emphasize the need for targeted public health interventions to address gaps and enhance vaccination efforts.

Autorentext

I am a dedicated data scientist and researcher with expertise in mathematical modelling, statistical/machine learning, and algorithm development. My work focuses on developing innovative algorithms for data-driven decision-making and optimizing system performance. I am also passionate about mentoring and leadership.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786208012878
    • Sprache Englisch
    • Genre Economy
    • Größe H220mm x B220mm x T150mm
    • Jahr 2024
    • EAN 9786208012878
    • Format Kartonierter Einband
    • ISBN 978-620-8-01287-8
    • Titel SAS Programming and Data Analysis
    • Autor Abdulazeez Alabi
    • Untertitel National Vaccination Coverage Estimates of Adolescents of 13-17 years by Selected Demographic and Access to Healthcare. DE
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 52

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