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Modeling Determinants of Time-To-Death in Premature Infants Admitted to Neonatal Intensive Care Unit in Jimma University Specialized Hospital

Author

Listed:
  • Million Wesenu

    (Haramaya University)

  • Sudhir Kulkarni

    (Jimma University)

  • Tafere Tilahun

    (Jimma University)

Abstract

Preterm birth is the term used to define births that occur before 37 completed weeks or 259 days of gestation. The aim of this study is to model survival probability of premature infants who were under follow-up and identify significant risk factors for mortality. Recorded hospital data were obtained for a cohort of 490 infants at Jimma University Specialized Hospital, Ethiopia. The infants have been under follow-up from January 2013 to December 2015. The non-parametric, semi-parametric and parametric survival models are used to estimate the survival time as well as examine the association between the survival time with different demographic, health and risk behavior variables. The analysis shows that most factors significantly contribute to a shorter survival time of premature infants. These factors include having prenatal Asphyxia, hyaline membrane disease, sepsis, jaundice, low gestational age, respiratory distress syndrome and initial temperature. It is therefore recommended that people ought to be cognizant on the burden of these risk factors and well informed about the prematurity.

Suggested Citation

  • Million Wesenu & Sudhir Kulkarni & Tafere Tilahun, 2017. "Modeling Determinants of Time-To-Death in Premature Infants Admitted to Neonatal Intensive Care Unit in Jimma University Specialized Hospital," Annals of Data Science, Springer, vol. 4(3), pages 361-381, September.
    • Handle: RePEc:spr:aodasc:v:4:y:2017:i:3:d:10.1007_s40745-017-0107-2
    DOI: 10.1007/s40745-017-0107-2
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    References listed on IDEAS

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    1. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(01), March.
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