Author
Listed:
- Samson Babatunde Adebayo
(National Agency for Food and Drug Administration and Control (NAFDAC), Planning, Research and Statistics)
- Waheed Babatunde Yahya
(University of Ilorin, Department of Statistics)
Abstract
About ten million children under the age of five die every year worldwide. One quarter of these deaths are caused by diseases that are preventable with vaccines. According to the World Health Organisation, immunization currently saves between two and three million lives per year. It is one of the most successful and cost-effective public health interventions. In developing countries in particular, infant and childhood mortalities are related to childhood diseases. Therefore, low vaccination coverage increases the risks of a child being exposed to various diseases such as diarrhoea, measles, malaria, etc. In spite of the efforts from government and many donor agencies, Nigeria still remains the country with least vaccination coverage in Africa. However, empirical evidence revealed substantial geographical variations on immunization coverage in Nigeria. In attempt to address the menace of low vaccination coverage in Nigeria, this Chapter aims at providing policymakers with tools to design effective interventions which can lead to frugal utilization of the scarce resources, which is a major challenge in many developing countries, including Nigeria. Findings from this work revealed substantial significant spatial effect and nonlinear effect of mother’s age at birth on vaccination coverage in Nigeria. Mother’s enhanced educational attainment and that of her partner also improve the rate of immunization in Nigeria. Furthermore, children who were delivered in hospitals, children that reside in urban areas and firstborn children are more likely to be fully immunised in Nigeria. In conclusion, since unavailability of basic needed resources have been identified as a major challenge towards successful implementation of interventions that would boost vaccination coverage in sub-Saharan African countries, including Nigeria, this study therefore provides policy-makers with tools that would aid appropriate policy formulation towards improving access to and coverage of immunisation in Nigeria. This would immensely assist in proper allocation of available resources to states or districts where such resources can be effectively utilized.
Suggested Citation
Samson Babatunde Adebayo & Waheed Babatunde Yahya, 2014.
"Modelling Immunization Coverage in Nigeria Using Bayesian Structured Additive Regression,"
The Springer Series on Demographic Methods and Population Analysis, in: Ngianga-Bakwin Kandala & Gebrenegus Ghilagaber (ed.), Advanced Techniques for Modelling Maternal and Child Health in Africa, edition 127, chapter 0, pages 123-145,
Springer.
Handle:
RePEc:spr:ssdmcp:978-94-007-6778-2_7
DOI: 10.1007/978-94-007-6778-2_7
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
for a similarly titled item that would be
available.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ssdmcp:978-94-007-6778-2_7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.