• Users Online: 650
  • Home
  • Print this page
  • Email this page
Home Current issue Ahead of print Search About us Editorial board Archives Submit article Author Guidelines Subscribe Contacts Login 
ORIGINAL ARTICLE
Year : 2019  |  Volume : 6  |  Issue : 2  |  Page : 82-88

Survival parametric models to estimate the factors of under-five child mortality


1 Department of Kayachikitsa, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
2 Department of Statistics, MMV, Banaras Hindu University, Varanasi, India
3 Biostatistics LC Pharmaceutical Services, Bangalore, India
4 Department of Community Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India

Correspondence Address:
Dr. Rakesh Kumar Saroj
Centre for Infectious Disease Research in Zambia, Analysis Unit, Lusaka, Zambia

Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jhrr.jhrr_22_19

Rights and Permissions

Aims: Child survival status is one of the major health-related concerns in all over the developing countries. There are various socioeconomic, demographic, environmental, and proximate and biological factors which are responsible for under-five child mortality. Our aim was to find the significant factors among various responsible factors under study using parametric and semi-parametric models. Materials and Methods: In this article, National Family Health Survey (NFHS)-IV data is used state of Uttar Pradesh in India after authentication and permission. Cox regression analysis (semi-parametric model) was performed to obtain the significant role of variables. Parametric models (Weibull, exponential, log-logistic, and log-normal) were performed to estimate the survival. Results: By using the Cox regression model, it was found that socioeconomic, demographic (education level, women's age, and religion), and proximate and biological factors (women's age in years, total number of children ever born, birth in the last 5 years, number of living children, currently breastfeeding, smokers, desire for more children, size of child, delivery by cesarean section, antenatal care visits, and birth order) play a significant role in the context of under-five child mortality. Based on the Akaike Information Criterion's (32985.3) minimum value, the Weibull model was found to be best fitted among all the other parametric models. Conclusions: There is used different parametric models. It is found that Weibull model is best fitted among all models. The study concludes that child mortality influences by the different factors. The study suggests that public health researcher, clinicians, health policy makers and other demographer need to implement more health programs related to child health especially for the under-five year children.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed66    
    Printed2    
    Emailed0    
    PDF Downloaded21    
    Comments [Add]    

Recommend this journal