The Library
Geo-additive models of childhood undernutrition in three sub-Saharan African countries
Tools
Kandala, Ngianga-Bakwin, Fahrmeir, L., Klasen, Stephan and Priebe, Jan. (2009) Geo-additive models of childhood undernutrition in three sub-Saharan African countries. Population, Space and Place, Vol.15 (No.5). pp. 461-473. ISSN 1544-8444
|
PDF
WRAP_Kandala_Kandala_PSP.pdf - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader Download (447Kb) |
Official URL: http://dx.doi.org/10.1002/psp.524
Abstract
We investigate the geographical and socioeconomic determinants of childhood undernutrition in Malawi, Tanzania and Zambia, three neighbouring countries in southern Africa, using the 1992 Demographic and Health Surveys. In particular, we estimate models of undernutrition jointly for the three countries to explore regional patterns of undernutrition that transcend boundaries, while allowing for country-specific interactions. We use geo-additive regression models to flexibly model the effects of selected socioeconomic covariates and spatial effects. Inference is fully Bayesian based on recent Markov chain Monte Carlo techniques. While the socioeconomic determinants generally confirm findings from the literature, we find distinct residual spatial patterns that are not explained by the socioeconomic determinants. In particular, there appears to be a belt transcending boundaries and running from southern Tanzania to northeastern Zambia which exhibits much worse undernutrition. These findings have important implications for planning, as well as in the search for left-out variables that might account for these residual spatial patterns.
| Item Type: | Journal Article |
|---|---|
| Subjects: | R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services |
| Divisions: | Faculty of Medicine > Warwick Medical School > Health Sciences Faculty of Medicine > Warwick Medical School |
| Library of Congress Subject Headings (LCSH): | Malnutrition in children -- Africa, Sub-Saharan, Children -- Health and hygiene -- Africa, Sub-Saharan, Random walks (Mathematics), Bayesian statistical decision theory, Africa, Sub-Saharan -- Economic conditions, Africa, Sub-Saharan -- Social conditions |
| Journal or Publication Title: | Population, Space and Place |
| Publisher: | John Wiley & Sons Ltd. |
| ISSN: | 1544-8444 |
| Date: | September 2009 |
| Volume: | Vol.15 |
| Number: | No.5 |
| Number of Pages: | 13 |
| Page Range: | pp. 461-473 |
| Identification Number: | 10.1002/psp.524 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Open Access |
| Funder: | Deutsche Forschungsgemeinschaft (DFG), Sonderforschungsbereich 386 |
| References: | Besag, J., York, Y. and Mollie, A. (1991). Bayesian Image Restoration with two Applications in Spatial Statistics (with discussion). Ann. Inst. Statist. Math., 43, 1-59. Borgoni, R. and Billardi, F.C. (2003). Bayesian spatial analysis of demographic survey data: An application to contraceptive use at first sexual intercourse. Demographic Research, 83, 61-92. Caputo, A., Roraita,R., Klasen, S., and Pigeot, I. (2003) Undernutrition in Benin: An Analysis based on Graphical Models. Social Sciences and Medecine 56:1677-1691. Christiaensen, L., & Alderman, H. (2001). Child Malnutrition in Ethiopia: Can Maternal Knowledge Augment the role of Income?, World Bank, 2001. Elbers, C., Lanjouw, J.O., Lanjouw, P. (2001). Welfare in Villages and Towns: Micro-Level Estimation of Poverty and Inequality. Tinbergen Institute Working paper No. 2000-0029/2, (at http://www.tinbergen.nl/. Fahrmeir, L. and Lang, S. (2001). Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors. Applied Statistics (JRSS C), 50, 201-220. Filmer, D. and Pritchett, L.(2001) Estimating wealth effects without income of expenditure data-or tears: An application to Educational enrollment in states of India, Demography 38(1):115-132. Goldstein, H. (1999). Multilevel statistical models. First Internet Edition. (http://multilevel.ioe.ac.uk/index.html.) Guilkey, D. and Riphahn, R.(1998) The Determinants of Child Mortality in the Philippines: Estimation of a Structural Model. Journal of Development Economics 56 : 281-305. Harttgen, K. and M. Misselhorn (2006). A multilevel approach to explain child mortality and undernutrition in South Asia and Sub-Saharan Africa. Mimeographed, University of Göttingen. IMF (2000). A better world for all: progress towards the international development goals. International Monetary Fund, Organisation for Economic Co-operation and Development, United Nations, and World Bank, 2000. Kammann EE, Wand MP. Geoadditive Models. Journal of the Royal Statistical Society C. 2003; 52: 1-18. Kandala N-B (2002). Spatial modelling of Socio-Economic and Demographic Determinants of Childhood Undernutrition and Mortality in Africa, Ph.D Thesis, University of Munich, Shaker Verlag. Kandala N-B, S. Lang, S. Klasen, and L. Fahrmeir (2001). Semiparametric Analysis of the Socio-Demographic Determinants of Undernutrition in Two African Countries. Research in Official Statistics, EUROSTAT, Vol. 4 No.1:81-100. Kandala N-B, M A Magadi and NJ Madise (2006): An Investigation of District Spatial Variations of Childhood Diarrhoea and Fever in Malawi. Social Science & Medicine 62:1138-1152. Klasen, S. (1996). Nutrition, Health, and Mortality in Sub-Saharan Africa: Is there a Gender Bias? Journal of Development Studies 32: 913-932. Klasen, S. (1999). Malnourished and low mortality in South Asia, better nourished and dying young in Africa: What can explain this puzzle? SFB 386 Discussion Paper No. 214. University of Munich. Klasen, S. Poverty, undernutrition, and child mortality: Some inter-regional puzzles and their implications for research and policy. Journal of Economic Inequality 2007 (published on-line in March, 2007; DOI 10.1007/s/10888-007-9056-x) Lang S, Brezger A. Bayesian P-Splines. Journal of Computational and Graphical Statistics. 2004; 13: 183-212. Moradi, A. and S. Klasen (2000). The Nutritional Status of Elites in India, Kenya, and Zambia: An Appropriate Guide for Developing International Reference Standards for Undernutrition? SFB 386 Discussion Paper No. 217. University of Munich. Nyovani, J.M., Z. Matthews, and B. Margetts (1999). Heterogeneity of Child Nutritional Status between Households: A Comparison of six Sub-Saharan African Countries. Population Studies 53: 331-343. Pelletier, D. (1998). Malnutrition, Morbidity, and Child Mortality in Developing Countries, In: United Nations (eds.) Too Young too Die: Genes or Gender? New York: United Nations. Pritchett, L. and Summers, L. (1996). Wealthier is healthier. Journal of Human Resources, 31: 841-868. Smith, L. and Haddad, L. (1999). Explaining Child Malnutrition in Developing Countries. IFPRI Research Report No. 111, Washington DC: IFPRI. Smith, L. and Haddad, L. (2001). The Importance of Women’s Status for Child Nutrition in Developing Countries. Mimeographed, IFPRI, Washington DC: IFPRI. Stephenson, C. (1999). Burden of Infection on Growth Failure. Journal of Nutrition, Supplement, 534S-538S. Spiegelhalter D., Best N., Carlin B., and Van der Line A. (2002). Bayesian measures of models complexity and fit. Journal of the Royal Stat. Soc. B(64):1-34. UNICEF (1998). The State of the World’s Children. New York: UNICEF. WHO (1983). Measuring Change in Nutritional Status. Geneva: WHO. WHO (1995). Physical Status: The Use and Interpretation of Anthropometry. WHO Technical Report Series No. 854. Geneva: WHO. World Bank (2000). Profile of poverty in Malawi, 1998. Poverty analysis of the Malawian Integrated Household Survey, 1997-98. Washington, DC: The World Bank. World Health Organization (2006). Multicentre Growth Reference Study. Acta Paediatrica 450 (Suppl.), 1-87. |
| URI: | http://wrap.warwick.ac.uk/id/eprint/2199 |
Data sourced from Thomson Reuters' Web of Knowledge
Actions (login required)
![]() |
View Item |
Tools
Tools

