TY - JOUR
T1 - Modelling and Forecasting Spatio-temporal Variations in the Risk of Chronic Malnutrition Among Under-Five Children in Ghana
AU - Aheto, Justice Moses Kwaku
AU - Taylor, Benjamin M.
AU - Diggle, Peter John
AU - Keegan, Thomas John
PY - 2017/6
Y1 - 2017/6
N2 - Background: Spatio-temporal variation in under-five-year-old children malnutrition remains unstudied in most developing countries like Ghana. This study explores and forecasts the spatio-temporal patterns in childhood chronic malnutrition among these children. We also investigate the effect of maternal education on childhood malnutrition.
Methods: We analysed data on 10,036 children residing in 1,516 geographic locations. A spatio-temporal model was fitted to the data and was used to produce predictive maps of spatio-temporal variation in the probability of stunting.
Results: The study found substantial spatio-temporal variation in the prevalence of stunting. Also, higher levels of mother's education were associated with decreased risk of being stunted.
Conclusion: Our spatio-temporal model captured variations in childhood stunting over place and time. Our method facilitates and enriches modelling and forecasting of future stunting prevalence to identify areas at high risk. Improving maternal education could be given greater consideration within an overall strategy for addressing childhood malnutrition.
AB - Background: Spatio-temporal variation in under-five-year-old children malnutrition remains unstudied in most developing countries like Ghana. This study explores and forecasts the spatio-temporal patterns in childhood chronic malnutrition among these children. We also investigate the effect of maternal education on childhood malnutrition.
Methods: We analysed data on 10,036 children residing in 1,516 geographic locations. A spatio-temporal model was fitted to the data and was used to produce predictive maps of spatio-temporal variation in the probability of stunting.
Results: The study found substantial spatio-temporal variation in the prevalence of stunting. Also, higher levels of mother's education were associated with decreased risk of being stunted.
Conclusion: Our spatio-temporal model captured variations in childhood stunting over place and time. Our method facilitates and enriches modelling and forecasting of future stunting prevalence to identify areas at high risk. Improving maternal education could be given greater consideration within an overall strategy for addressing childhood malnutrition.
UR - https://puretest.lancaster.ac.uk/portal/en/publications/modelling-and-forecasting-spatiotemporal-variations-in-the-risk-of-chronic-malnutrition-among-underfive-children-in-ghana(27273876-6bf2-4e92-ab62-1b8e45bd5224).html
U2 - 10.1016/j.sste.2017.02.003
DO - 10.1016/j.sste.2017.02.003
M3 - Article
SN - 1877-5845
JO - Spatial and Spatio-temporal Epidemiology
JF - Spatial and Spatio-temporal Epidemiology
ER -
