Climate-Related Child Undernutrition in the Lake Victoria Basin: An Integrated Spatial Analysis of Health Surveys, NDVI, and Precipitation Data

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 9; no. 6; pp. 2830 - 2835
• Main Authors: Lopez-Carr, David, Mwenda, Kevin M., Pricope, Narcisa G., Kyriakidis, Phaedon C., Jankowska, Marta M., Weeks, John, Funk, Chris, Husak, Gregory, Michaelsen, Joel
• Format: Journal Article
• Language: English
• Published: IEEE 01-06-2016
• Subjects: Climate; Climate change; Lake Victoria Basin (LVB); Meteorology; NDVI; Pediatrics; Remote sensing; Social factors; Statistics; stunting; undernutrition; Vegetation mapping; vulnerability
• ISSN: 1939-1404
• DOI: 10.1109/JSTARS.2016.2569411

Despite growing research into the socio-economic aspects of vulnerability <xref ref-type="bibr" rid="ref1 ref2 ref3"> [1] -<xref ref-type="bibr" rid="ref4">[4] , relatively little work has linked population dynamics with climate change beyond the complex relationship between migration and climate change <xref ref-type="bibr" rid="ref5">[5] . It is likely, however, that most people experience climate change in situ , so understanding the role of population dynamics remains critical. How a given number of people, in a given location and with varying population characteristics may exacerbate or mitigate the impacts of climate change or how, conversely, they may be vulnerable to climate change impacts are basic questions that remain largely unresolved <xref ref-type="bibr" rid="ref6">[6] . This paper explores where and to what extent population dynamics intersect with high exposure to climate change. Specifically, in Eastern Africa's Lake Victoria Basin (LVB), a climate change/health vulnerability hotspot we have identified in prior research <xref ref-type="bibr" rid="ref7">[7] , we model child undernutrition vulnerability indices based on climate variables, including proxy measures (NDVI) derived from satellite imagery, at a 5-km spatial resolution. Results suggest that vegetation changes associated with precipitation decline in rural areas of sub-Saharan Africa can help predict deteriorating child health.