Child Undernutrition
Project Exploration
This project explores several quantitative approaches (e.g. spatial statistics, machine learning) to identify significant socioeconomic, demographic, cultural, climatic and environmental risk factors of child stunting from Demographic and Health Survey (DHS) datasets.
Such approaches provide a useful framework to elucidate spatially structured and significant indicators of child undernutrition that are in critical need of, and can respond well to, prioritized policy interventions.
deSouza, P.N, Hammer, M., Anthamatten, P., Kinney, P.L., Kim, R., Subramanian, S.V., Bell, M.L, Mwenda, K.M. (2022). Impact of Air Pollution on Stunting Among Children in Africa. Environmental Health. (2022) 21:128. DOI: 10.1186/s12940-022-00943-y
López-Carr, D., Mwenda, K.M., Pricope, N.G., Kyriakidis, P.C., Jankowska, M.M., Weeks, J., Funk, C., Husak, G., Michaelsen, J. (2016). Climate-Related Child Undernutrition in the Lake Victoria Basin: An Integrated Spatial Analysis of Health Surveys, NDVI, and Precipitation Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9 (6): 2830 – 2835. DOI: 10.1109/JSTARS.2016.2569411