Environmental risk factors and child nutritional status and survival in a context of climate variability and change

Applied Geography

Volumn 54, Issue , 2014, Pages 209-221

  Johnson, Kiersten ^a   Brown, Molly E ^b  

^a WESTAT   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Child survival; Mortality; NDVI; Nutrition; Stunting; West Africa

Indexed keywords

CHILD HEALTH; CLIMATE CHANGE; DEVELOPING WORLD; ENVIRONMENTAL RISK; MORTALITY RISK; NDVI; NUTRITION; REMOTE SENSING; RISK FACTOR; RURAL AREA; SURVIVAL;

BENIN [WEST AFRICA]; BURKINA FASO; GUINEA; MALI;

EID: 84911366510     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2014.08.007     Document Type: Article

References (80)

1. Achard F., Malingreau J.-P., Phulpin T., Saint G., Saugier B., Seguin B., et al. Amission for global monitoring of the continental biosphere: the "Vegetation" instrument on board "SPOT 4" 1992, LERTS, Toulouse, France.
2. Adair L., Guilkey D. Age-specific determinants of stunting in Filipino children. The Journal of Nutrition 1997, 127(2):314-320.
3. Anyamba A., Tucker C.J. Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981-2003. Journal of Arid Environments 2005, 63:596-614.
4. Axinn W., Ghimire D. Social organization, population, and land use. American Journal of Sociology 2011, 117(1):209-258.
5. Ayad M., Barrere B., J.Otto Demographic and socioeconomic characteristics of households 1997, Macro International Inc, Calverton, MD.
6. Bandyopadhyay S., Kanji S., Wang L. The impact of rainfall and temperature variation on diarrheal prevalence in Sub-Saharan Africa. Applied Geography 2012, 33:63-72.
7. Becquey E., Martin-Prevel Y. Mesure De La Vulnérabilité Alimentaire En Milieu Urbain Sahelien : Resultats De L'etude De Ouagadougou (Measurement of food insecurity in urban Sahel: Results from the study of Ouagadougou) 2008, 17. Le Comité permanent Inter états de Lutte contre la Sécheresse dans le Sahel (CILSS), Ouagadougou, Burkina Faso.
8. Bhargava A. Iron status, malaria parasite loads and food policies: evidence from Sub-Saharan Africa. Economics and Human Biology 2013, 11(1):108-112.
9. Biran A., Abbot J., Mace R. Families and Firewood: a comparative analysis of the costs and benefits of children in firewood collection and use in two rural communities in Sub-Saharan Africa. Human Ecology 2004, 32(1):1-25.
10. Brown M.E. Famine early warning systems and remote sensing data 2008, Springer Verlag, Heidelberg.
11. Brown M.E. Food security, food prices and climate variability 2014, Routledge Press, London.
12. Brown M.E., Funk C.C. Food security under climate change. Science 2008, 319(5863):580-581.
13. Brown M.E., Grace K., Shively G., Johnson K., Carroll M. Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change. Population and Environment 2014, 36:1-25.
14. Brown M.E., Pinzon J.E., Didan K., Morisette J.T., Tucker C.J. Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-Vegetation, SeaWIFS, MODIS and LandSAT ETM+. IEEE Transactions Geoscience and Remote Sensing 2006, 44(1):1787-1793.
15. Brown M.E., Pinzon J.E., Prince S.D. The sensitivity of millet prices to vegetation dynamics in the informal markets of Mali, Burkina Faso and Niger. Climatic Change 2006, 78:181-202.
16. Brown M.E., Pinzon J.E., Tucker C.J. Quantitative comparison of four AVHRR global data sets for land applications. Global Mapping and Modelling Systems (GIMMS) Report, Greenbelt, MD 2003, 35.
17. Buerkert A., Lawrence P.R., Williams J.H., Marschner H. Non-destructive measurements of biomass in millet, cowpea, groundnut, weeds and grass swards using reflectance and their application for growth analysis. Experimental Agriculture 1995, 31:1-11.
18. Burchi F. Whose education affects a child's nutritional status? From parents' to household's education. Demographic Research 2012, 27:681-704.
19. Chima R.I., Goodman C.A., Mills A. The economic impact of malaria in Africa: a critical review of the evidence. Health Policy 2003, 63:17-36.
20. Chowdhury R.R. Household land management and biodiversity: secondary succession in a forest-agriculture mosaic in Southern Mexico. Ecology and Society 2007, 12(2):31.
21. CIA Central intelligence agency world factbook 2012, United States Government, Washington DC.
22. Curtis S., Hossain M. The effect of aridity zone on child nutritional status 1998, West Africa spatial analysis prototype exploratory analysis, Macro International Inc., Calverton, MD.
23. Dambach P., Machault V., Lacaux J., Vignolles C., Sié A., Sauerborn R. Utilization of combined remote sensing techniques to detect environmental variables influencing malaria vector densities in rural West Africa. International Journal of Health Geographics 2012, 11(8):1-12.
24. Dardel C., Kergoat L., Hiernaux P., Mougin E., Grippa M., Tucker C.J. Re-greening Sahel: 30 years of remote sensing data and field observations (Mali, Niger). Remote Sensing of Environment 2014, 140:350-364.
25. Davies S.M. Adaptable livelihoods: Coping with food insecurity in the Malian Sahel 1996, St. Martin's Press, Inc., New York.
26. Dregne H.E., Tucker C.J. Green biomass and rainfall in semi-arid Sub-Saharan Africa. Journal of Arid Environments 1988, 15:245-252.
27. Eklundh L., Olsson L. Vegetation index trends for the African Sahel 1982-1999. Geophysical Research Letters 2003, 30(8).
28. FAO The state of food insecurity in the world 2012, United Nations Food and Agriculture Organization, Rome, Italy.
29. Farrar T.J., Nicholson S.E., Lare A.R. The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in Semiarid Botswana. II. NDVI response to soil moisture. Remote Sensing of Environment 1994, 50:121-133.
30. Fensholt R. Earth observation of vegetation status in the Sahelian and Sudanian West Africa: comparison of Terra MODIS and NOAA AVHRR satellite data. International Journal of Remote Sensing 2004, 25(9):1641-1659.
31. Fensholt R., Nielsen T., Stisen S. Evaluation of AVHRR PAL and GIMMS 10-day composite NDVI time series products using SPOT-4 vegetation data for the African Continent. International Journal of Remote Sensing 2006, 27(13):2719-2733.
32. Fox J., Rindfuss R.R., Walsh S.J., Mishra V. People and the environment: Approaches for linking household and community surveys to remote sensing and GIS 2004, Kluwer Academic Publishers, New York.
33. Franklin J., Hiernaux P.H.Y. Estimating foliage and woody biomass in Sahelian and Sudanian Woodlands using a remote sensing model. International Journal of Remote Sensing 1991, 12(6):1387-1404.
34. Frison E.A., Smith I.F., Johns T., Cherfas J., Eyzaguirre P.B. Agricultural biodiversity, nutrition, and health: making a difference to hunger and nutrition in the developing world. Food and Nutrition Bulletin 2006, 27(2):167-179.
35. Funk C.C., Brown M.E. Declining global per capita agricultural production and warming oceans threaten food security. Food Security Journal 2009, 1:271-289.
36. Garnett T., Appleby M.C., Balmford A., Bateman I.J., Benton T.G., Bloomer P., et al. Sustainable intensification in agriculture: premises and policies. Science 2013, 341:33-34.
37. Gazdar H., Mallah H.B. Impact and coping strategies. IDS Bulletin 2013, 44:31-37.
38. Gellrich M., Zimmermann N.E. Investigating the regional-scale pattern of agricultural land abandonment in the Swiss Mountains: a spatial statistical modeling approach. Landscape and Urban Planning 2007, 79(1):65-76.
39. Geoghegan J., Pritchard L., Ogneva-Himmelberger Y., Chowdhury R.R., Sanderson S., Turner B.L.I. "Socializing the pixel" and "Pixelizing the social" in land-use and land-cover change. People and pixels 1998, National Academy Press, Washington, D. C. D. Liverman, E.F. Moran, R.R. Rindfuss, P.C. Stern (Eds.).
40. Gladwin C.H., Thomson A.M., Peterson J.S., Anderson A.S. Addressing food security in Africa via multiple livelihood strategies of women farmers. Food Policy 2001, 26:177-207.
41. Haldar K., Mohandas N. Malaria, erythrocytic infection, and anemia. Hematology 2009, 1:87-93.
42. Holben B. Characteristics of maximum-value composite images from temporal AVHRR data. International Journal of Remote Sensing 1986, 7(11):1417-1434.
43. Humphry C.M., Clegg M.S., Keen C.L., Grivett L.E. Food diversity and drought survival: the Hausa example. International Journal of Food Sciences and Nutrition 1993, 44:1-16.
44. Ickowitz A., Bronwen P., Salim M.A., Sunderland T.C.H. Dietary quality and tree cover in Africa. Global Environmental Change 2014, 24:287-294.
45. Johnson K.B., Jacob A., Brown M.E. Forest cover associated with improved child health and nutrition: evidence from the Malawi demographic and health survey and satellite data. Global Health: Science and Practice 2013, 1(2):237-248.
46. Jordan L., Watkins B., Biegon P., Mwangi M., Rose R. Practical approaches to spatial estimation of disaster-affected populations. International Journal of Applied Geospatial Research 2010, 1(3):31-48.
47. Ju W., Chen J.M. Distribution of soil carbon stocks in Canada's forest and wetlands simulated based on drainage class, topography and remotely sensed vegetation parameters. Hydrological Processes 2005, 19:77-94.
48. Karnieli A., Agam N., Pinker R.T., Anderson M.C., Imhoff M.L., Gutman G.G., et al. Use of NDVI and land surface temperature for assessing vegetation health: merits and limitations. Journal of Climate 2010, 23:618-633.
49. Kerr Y.H., Imbernon J., Dedieu G., Hautecoeur O., Lagouarde J.P., Seguin B. NOAA AVHRR and its uses for rainfall and evapotranspiration monitoring. International Journal of Remote Sensing 1989, 10(4/5):847-854.
50. Lotsch A., Friedl M.A., Anderson B.T., Tucker C.J. Coupled vegetation-precipitation variability observed from satellite and climate records. Geophysical Research Letters 2003, 30(14).
51. Macro International Enquête Démographique et de Santé au Bénin 2001. Institut National de la Statistique et de l'Analyse Économique (INSAE) et ORC Macro, Calverton, Maryland, USA 2002.
52. Macro International Enquête Démographique et de Santé du Burkina Faso 2003. Institut National de la Statistique et de la Démographie (INSD) et ORC Macro, Calverton, Maryland, USA 2004.
53. Macro International Enquête Démographique et de Santé, Guinée 2005. Direction Nationale de la Statistique (DNS) (Guinée) et ORC Macro, Calverton, Maryland, USA 2006.
54. Macro International Enquête Démographique et de Santé au Mali 2006. Cellule de Planification et de Statistique du Ministère de la Santé (CPS/MS), Direction Nationale de la Statistique et de l'Informatique du Ministère de l'Économie, de l'Industrie et du Commerce (DNSI) et ORC Macro, Calverton, Maryland, USA 2007.
55. Martorell R., Kettle-Khan L., Schroeder D. Reversibility of stunting: epidemiological findings in children from developing countries. European Journal of Clinical Nutrition 1994, 48:S45-S57.
56. Moseley W.G. Neoliberal policy, rural livelihoods and urban food security in West Africa: a comparative study of the Gambia, CÔte d'Ivoire and Mali. Proceedings of the National Academy of Sciences 2010, 107(13):5774-5779.
57. Mosley W.H., Chen L.C. An analytical framework for the study of child survival in developing countries. Population and Development Review 1984, 10:25-45.
58. Nicholson S. On the question of the "recovery" of the rains in the West African Sahel. Journal of Arid Environments 2005, 63(3):615-641.
59. Nicholson S.E., Tucker C.J., Ba M.B. Desertification, drought and surface vegetation: an example from the West African Sahel. Bulletin of the American Meteorological Society 1998, 79(5):815-829.
60. Nin-Pratt A., Johnson M., Magalhaes E., You L., Diao X., Chamberlin J. Yield gaps and potential agricultural growth in West and Central Africa. Research monograph 170 2011, 158. International food policy research Institute, Washington DC.
61. Pinzon J., Brown M.E., Tucker C.J. Satellite time series correction of orbital drift artifacts using empirical mode decomposition. Hilbert-Huang Transform: Introduction and applications 2005, 167-186. N. Huang (Ed.).
62. Rasmussen M.S. Assessment of millet yields and production in Northern Burkina Faso using integrated NDVI from the AVHRR. International Journal of Remote Sensing 1992, 13(18):3431-3442.
63. Rasmussen M.S. Developing simple, operational, consistent NDVI-vegetation models by applying environmental and climatic information. Part I: assessment of net primary production. International Journal of Remote Sensing 1998, 19(1):97-119.
64. Raun W.R., Solie J.B., Johnson G.V., Stone M.L., Lukina E.V., Thomason W.E., et al. In-season prediction of potential grain yield in winter wheat using canopy reflectance. Agronomy Journal 2001, 93:131-138.
65. Roderick M.L., Noble I.R., Cridland S.W. Estimating woody and herbaceous vegetation cover from time series satellite observations. Global Ecology and Biogeography 1999, 8(6):501-508.
66. Rosen S., Meade B., Shapouri S., D'Souza A., Rada N. International food security assessment, 2012-22. Outlook No. (GFA-23) 2013, 71. US Department of Agriculture, Washington DC.
67. Rutstein S., Johnson K. The DHS wealth index. DHS Comparative Reports No. 6. ORC Macro, Calverton, Maryland 2004.
68. Rutstein S., Johnson K., Conde-Agudelo A. Systematic literature review and meta-analysis of the relationship between interpregnancy or interbirth intervals and infant and child mortality 2004, Report submitted to the CATALYST Consortium, October 2004.
69. Shabanov N.V., Zhou L.M., Knyazikhin Y., Myneni R.B., Tucker C.J. Analysis of interannual changes in northern vegetation activity observed in AVHRR data from 1981 to 1994. IEEE Transactions on Geoscience and Remote Sensing 2002, 40(1):115-130.
70. Tian Y., Dickson R.E., Zhou L., Zeng X.B., Dai Y., Myneni R., et al. Comparison of seasonal and spatial variations in leaf area index and fraction of absorbed photosynthetically active radiation from Moderate Resolution Imaging Spectroradiometer (MODIS) and Common Land Model. Journal of Geophysical Research 2004, 109(D01103):1-14.
71. Tucker C.J., Pinzon J.E., Brown M.E., Slayback D., Pak E.W., Mahoney R., et al. An extended AVHRR 8-km NDVI data set compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing 2005, 26(20):4485-4498.
72. Tucker C.J., Vanpraet C.L., Sharman M.J., van Ittersum G. Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 1980-1984. Remote Sensing of Environment 1985, 17:233-249.
73. UNDP Address at the fourth assembly of the global environment facility. Rebeca Grynspan. May 25 2010 2010, GEF Fourth Assembly Address, United Nations, Geneva.
74. United Nations Secretary General Ban Ki-Moon, opening remarks at the UN climate change Summit Plenary 2009, 22 September 2009.
75. USAID Feed the future, the US Government's global hunger and food security initiative: boosting harvests, fighting poverty 2012, 34. US Agency for International Development, Washington DC.
76. Verdin J., Funk C., Senay G., Choularton R. Climate science and famine early warning. Philosophical Transactions of the Royal Society B: Biological Sciences 2005, 360(1463):2155-2168.
77. World Bank Data: The World Bank 2013, Vol. 2013. The World Bank, Washington DC.
78. World Health Organization and UNICEF WHO child growth standards and the identification of severe acute malnutrition in infants and children: A joint statement by the World Health Organization and the United Nations Children's fund 2009, UNICEF, New York.
79. Xie Y., Sha Z., Yu M. Remote sensing imagery in vegetation mapping: a review. Journal of Plant Ecology 2008, 1:9-23.
80. Zaal F., Dietz T., Brons J., Van der Geest K., Ofori-Sarpong E. Sahelian livelihoods on the rebound: a critical analysis of rainfall, drought index and yields in Sahelian Agriculture. The impact of climate change on drylands: With a focus on West Africa 2004, 61-77. Kluwer Academic Publishers, Dordrecht, The Netherlands. A.J. Dietz, R. Ruben, A. Verhagen (Eds.).