Advanced Techniques for Modelling Maternal and Child Health in Africa

  • Ngianga-Bakwin Kandala
  • Gebrenegus Ghilagaber

Part of the The Springer Series on Demographic Methods and Population Analysis book series (PSDE, volume 34)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Samuel O. M. Manda, Ngianga-Bakwin Kandala, Gebrenegus Ghilagaber
    Pages 1-7
  3. Child Health and Survival

  4. Maternal Health

  5. Back Matter
    Pages 327-330

About this book


This book presents both theoretical contributions and empirical applications of advanced statistical techniques including geo-additive models that link individual measures with area variables to account for spatial correlation; multilevel models that address the issue of clustering within family and household; multi-process models that account for interdependencies over life-course events and non-random utilization of health services; and flexible parametric alternatives to existing intensity models. These analytical techniques are illustrated mainly through modeling maternal and child health in the African context, using data from demographic and health surveys.


In the past, the estimation of levels, trends and differentials in demographic and health outcomes in developing countries was heavily reliant on indirect methods that were devised to suit limited or deficient data. In recent decades, world-wide surveys like the World Fertility Survey and its successor, the Demographic and Health Survey have played an important role in filling the gap in survey data from developing countries. Such modern demographic and health surveys enable investigators to make in-depth analyses that guide policy intervention strategies, and such analyses require the modern and advanced statistical techniques covered in this book.


The text is ideally suited for academics, professionals, and decision makers in the social and health sciences, as well as others with an interest in statistical modelling, demographic and health surveys. Scientists and students in applied statistics, epidemiology, medicine, social and behavioural sciences will find it of value.   


Baysian structures additive regression Child health problems Clustering within family and household Effetcs of health inputs on child survival Flexible spatial mixture models Geo-additive Baysian discrete-time survival model Interdependencies over life-course events Modelling childhood mortality Modelling maternal and child health Modern and advance statistical techniques Non-random utilization of health services Prevalent hypertension in Sub-Saharan Africa Semiparametric stratified survival model Stepwise geoadditive regression model Survey data in developing countries The Demographic and Health Survey Tools for HIV prevention Vascular diseases in South Africa World Fertility Survey

Editors and affiliations

  • Ngianga-Bakwin Kandala
    • 1
  • Gebrenegus Ghilagaber
    • 2
  1. 1.Warwick Medical School Division of Health SciencesUniversity of WarwickCoventryUnited Kingdom
  2. 2.Department of StatisticsStockholm UniversityStockholmSweden

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media Dordrecht. 2014
  • Publisher Name Springer, Dordrecht
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-94-007-6777-5
  • Online ISBN 978-94-007-6778-2
  • Series Print ISSN 1389-6784
  • About this book