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Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change

Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change

Brown, Molly E. ORCID: 0000-0001-7384-3314, Grace, Kathryn, Shively, Gerald, Johnson, Kiersten and Carroll, Mark (2014) Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change. Population and Environment, 36 (1). pp. 48-72. ISSN 0199-0039 (Print), 1573-7810 (Online) (doi:https://doi.org/10.1007/s11111-013-0201-0)

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Abstract

Climate change and degradation of ecosystem services functioning may threaten the ability of current agricultural systems to keep up with demand for adequate and inexpensive food and for clean water, waste disposal and other broader ecosystem services. Human health is likely to be affected by changes occurring across multiple geographic and time scales. Impacts range from increasing transmissibility and the range of vectorborne diseases, such as malaria and yellow fever, to undermining nutrition through deleterious impacts on food production and concomitant increases in food prices. This paper uses case studies to describe methods that make use of satellite remote sensing and Demographic and Health Survey data to better understand individual-level human health and nutrition outcomes. By bringing these diverse datasets together, the connection between environmental change and human health outcomes can be described through new research and analysis.

Item Type: Article
Uncontrolled Keywords: DHS, NDVI, environment, health, survey, nutrition
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Food & Markets Department
Last Modified: 22 Jan 2021 10:43
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/30909

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