Climate-related child undernutrition in the lake Victoria basin: an integrated spatial analysis of health surveys, ndvi, and precipitation data
| Autor: | Narcisa G. Pricope, Chris Funk, Kevin M. Mwenda, John R. Weeks, Phaedon C. Kyriakidis, David López-Carr, Joel Michaelsen, Gregory Husak, Marta M. Jankowska |
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| Přispěvatelé: | Κυριακίδης, Φαίδων |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Atmospheric Science
NDVI Climate Population Vulnerability Climate change 010501 environmental sciences Structural basin 01 natural sciences Proxy (climate) Normalized Difference Vegetation Index 03 medical and health sciences 0302 clinical medicine 030225 pediatrics Satellite imagery Computers in Earth Sciences education 0105 earth and related environmental sciences Lake Victoria Basin (LVB) education.field_of_study Stunting Undernutrition Natural resource Physical geography Rural area Earth and Related Environmental Sciences Natural Sciences |
| Popis: | Despite growing research into the socio-economic aspects of vulnerability [1] – [4] , relatively little work has linked population dynamics with climate change beyond the complex relationship between migration and climate change [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 [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 [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. |
| Databáze: | OpenAIRE |
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