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Poverty, health and satellite-derived vegetation indices: their inter-spatial relationship in West Africa

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Published

Standard

Poverty, health and satellite-derived vegetation indices: their inter-spatial relationship in West Africa. / Sedda, Luigi; Tatem, Andrew J.; Morley, David W. et al.
In: International Health, Vol. 7, No. 2, 03.2015, p. 99-106.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Sedda, L, Tatem, AJ, Morley, DW, Atkinson, PM, Wardrop, NA, Pezzulo, C, Sorichetta, A, Kuleszo, J & Rogerse, DJ 2015, 'Poverty, health and satellite-derived vegetation indices: their inter-spatial relationship in West Africa', International Health, vol. 7, no. 2, pp. 99-106. https://doi.org/10.1093/inthealth/ihv005

APA

Sedda, L., Tatem, A. J., Morley, D. W., Atkinson, P. M., Wardrop, N. A., Pezzulo, C., Sorichetta, A., Kuleszo, J., & Rogerse, D. J. (2015). Poverty, health and satellite-derived vegetation indices: their inter-spatial relationship in West Africa. International Health, 7(2), 99-106. https://doi.org/10.1093/inthealth/ihv005

Vancouver

Sedda L, Tatem AJ, Morley DW, Atkinson PM, Wardrop NA, Pezzulo C et al. Poverty, health and satellite-derived vegetation indices: their inter-spatial relationship in West Africa. International Health. 2015 Mar;7(2):99-106. doi: 10.1093/inthealth/ihv005

Author

Sedda, Luigi ; Tatem, Andrew J. ; Morley, David W. et al. / Poverty, health and satellite-derived vegetation indices : their inter-spatial relationship in West Africa. In: International Health. 2015 ; Vol. 7, No. 2. pp. 99-106.

Bibtex

@article{4944569b9ae34502b9f1d31f714be25a,
title = "Poverty, health and satellite-derived vegetation indices: their inter-spatial relationship in West Africa",
abstract = "Background: Previous analyses have shown the individual correlations between poverty, health and satellite-derived vegetation indices such as the normalized difference vegetation index (NDVI). However, generally these analyses did not explore the statistical interconnections between poverty, health outcomes and NDVI.Methods: In this research aspatial methods (principal component analysis) and spatial models (variography, factorial kriging and cokriging) were applied to investigate the correlations and spatial relationships between intensity of poverty, health (expressed as child mortality and undernutrition), and NDVI for a large area of West Africa.Results: This research showed that the intensity of poverty (and hence child mortality and nutrition) varies inversely with NDVI. From the spatial point-of-view, similarities in the spatial variation of intensity of poverty and NDVI were found.Conclusions: These results highlight the utility of satellite-based metrics for poverty models including health and ecological components and, in general for large scale analysis, estimation and optimisation of multidimensional poverty metrics. However, it also stresses the need for further studies on the causes of the association between NDVI, health and poverty. Once these relationships are confirmed and better understood, the presence of this ecological component in poverty metrics has the potential to facilitate the analysis of the impacts of climate change on the rural populations afflicted by poverty and child mortality.",
keywords = "Child mortality, Geostatistics, Multidimensional Poverty Index, Normalized difference vegetation index, Nutrition, Poverty, WATER MANAGEMENT, COUNTRIES, LEVEL, MODEL, RISK",
author = "Luigi Sedda and Tatem, {Andrew J.} and Morley, {David W.} and Atkinson, {Peter M.} and Wardrop, {Nicola A.} and Carla Pezzulo and Alessandro Sorichetta and Joanna Kuleszo and Rogerse, {David J.}",
year = "2015",
month = mar,
doi = "10.1093/inthealth/ihv005",
language = "English",
volume = "7",
pages = "99--106",
journal = "International Health",
issn = "1876-3413",
publisher = "Elsevier Limited",
number = "2",

}

RIS

TY - JOUR

T1 - Poverty, health and satellite-derived vegetation indices

T2 - their inter-spatial relationship in West Africa

AU - Sedda, Luigi

AU - Tatem, Andrew J.

AU - Morley, David W.

AU - Atkinson, Peter M.

AU - Wardrop, Nicola A.

AU - Pezzulo, Carla

AU - Sorichetta, Alessandro

AU - Kuleszo, Joanna

AU - Rogerse, David J.

PY - 2015/3

Y1 - 2015/3

N2 - Background: Previous analyses have shown the individual correlations between poverty, health and satellite-derived vegetation indices such as the normalized difference vegetation index (NDVI). However, generally these analyses did not explore the statistical interconnections between poverty, health outcomes and NDVI.Methods: In this research aspatial methods (principal component analysis) and spatial models (variography, factorial kriging and cokriging) were applied to investigate the correlations and spatial relationships between intensity of poverty, health (expressed as child mortality and undernutrition), and NDVI for a large area of West Africa.Results: This research showed that the intensity of poverty (and hence child mortality and nutrition) varies inversely with NDVI. From the spatial point-of-view, similarities in the spatial variation of intensity of poverty and NDVI were found.Conclusions: These results highlight the utility of satellite-based metrics for poverty models including health and ecological components and, in general for large scale analysis, estimation and optimisation of multidimensional poverty metrics. However, it also stresses the need for further studies on the causes of the association between NDVI, health and poverty. Once these relationships are confirmed and better understood, the presence of this ecological component in poverty metrics has the potential to facilitate the analysis of the impacts of climate change on the rural populations afflicted by poverty and child mortality.

AB - Background: Previous analyses have shown the individual correlations between poverty, health and satellite-derived vegetation indices such as the normalized difference vegetation index (NDVI). However, generally these analyses did not explore the statistical interconnections between poverty, health outcomes and NDVI.Methods: In this research aspatial methods (principal component analysis) and spatial models (variography, factorial kriging and cokriging) were applied to investigate the correlations and spatial relationships between intensity of poverty, health (expressed as child mortality and undernutrition), and NDVI for a large area of West Africa.Results: This research showed that the intensity of poverty (and hence child mortality and nutrition) varies inversely with NDVI. From the spatial point-of-view, similarities in the spatial variation of intensity of poverty and NDVI were found.Conclusions: These results highlight the utility of satellite-based metrics for poverty models including health and ecological components and, in general for large scale analysis, estimation and optimisation of multidimensional poverty metrics. However, it also stresses the need for further studies on the causes of the association between NDVI, health and poverty. Once these relationships are confirmed and better understood, the presence of this ecological component in poverty metrics has the potential to facilitate the analysis of the impacts of climate change on the rural populations afflicted by poverty and child mortality.

KW - Child mortality

KW - Geostatistics

KW - Multidimensional Poverty Index

KW - Normalized difference vegetation index

KW - Nutrition

KW - Poverty

KW - WATER MANAGEMENT

KW - COUNTRIES

KW - LEVEL

KW - MODEL

KW - RISK

U2 - 10.1093/inthealth/ihv005

DO - 10.1093/inthealth/ihv005

M3 - Journal article

VL - 7

SP - 99

EP - 106

JO - International Health

JF - International Health

SN - 1876-3413

IS - 2

ER -