Vulnerability to stunting in the West African Sahel

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Standard

Vulnerability to stunting in the West African Sahel. / Alfani, Federica; Dabalen, Andrew; Fisker, Peter; Molini, Vasco.

I: Food Policy, Bind 83, 2019, s. 39-47.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Alfani, F, Dabalen, A, Fisker, P & Molini, V 2019, 'Vulnerability to stunting in the West African Sahel', Food Policy, bind 83, s. 39-47. https://doi.org/10.1016/j.foodpol.2018.11.002

APA

Alfani, F., Dabalen, A., Fisker, P., & Molini, V. (2019). Vulnerability to stunting in the West African Sahel. Food Policy, 83, 39-47. https://doi.org/10.1016/j.foodpol.2018.11.002

Vancouver

Alfani F, Dabalen A, Fisker P, Molini V. Vulnerability to stunting in the West African Sahel. Food Policy. 2019;83:39-47. https://doi.org/10.1016/j.foodpol.2018.11.002

Author

Alfani, Federica ; Dabalen, Andrew ; Fisker, Peter ; Molini, Vasco. / Vulnerability to stunting in the West African Sahel. I: Food Policy. 2019 ; Bind 83. s. 39-47.

Bibtex

@article{9918294108aa4f55a7236ae3a11599f0,
title = "Vulnerability to stunting in the West African Sahel",
abstract = "This paper presents a simple simulation framework for understanding and analyzing vulnerability to stunting. We utilize Demographic and Health Surveys merged with satellite data on climatic shocks. Children aged 0–5 years are grouped into three categories: consistently stunted, vulnerable, and non-vulnerable. The first group constitutes those who are stunted and will also be stunted in any hypothetical period. Non-vulnerable are those whose likelihood to be stunted is zero. The vulnerable face a probability between 0 and 1 of being stunted. The probability is calculated as the share of years in which the child would be stunted, given the village level distribution of weather shocks over the period 2000–2013. We provide estimates of vulnerability to stunting in Burkina Faso, Northern Ghana, Mali, Northern Nigeria, and Senegal by aggregating over villages, districts and countries.",
keywords = "Climatic shocks, Sahel, Stunting, Vulnerability",
author = "Federica Alfani and Andrew Dabalen and Peter Fisker and Vasco Molini",
year = "2019",
doi = "10.1016/j.foodpol.2018.11.002",
language = "English",
volume = "83",
pages = "39--47",
journal = "Food Policy",
issn = "0306-9192",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Vulnerability to stunting in the West African Sahel

AU - Alfani, Federica

AU - Dabalen, Andrew

AU - Fisker, Peter

AU - Molini, Vasco

PY - 2019

Y1 - 2019

N2 - This paper presents a simple simulation framework for understanding and analyzing vulnerability to stunting. We utilize Demographic and Health Surveys merged with satellite data on climatic shocks. Children aged 0–5 years are grouped into three categories: consistently stunted, vulnerable, and non-vulnerable. The first group constitutes those who are stunted and will also be stunted in any hypothetical period. Non-vulnerable are those whose likelihood to be stunted is zero. The vulnerable face a probability between 0 and 1 of being stunted. The probability is calculated as the share of years in which the child would be stunted, given the village level distribution of weather shocks over the period 2000–2013. We provide estimates of vulnerability to stunting in Burkina Faso, Northern Ghana, Mali, Northern Nigeria, and Senegal by aggregating over villages, districts and countries.

AB - This paper presents a simple simulation framework for understanding and analyzing vulnerability to stunting. We utilize Demographic and Health Surveys merged with satellite data on climatic shocks. Children aged 0–5 years are grouped into three categories: consistently stunted, vulnerable, and non-vulnerable. The first group constitutes those who are stunted and will also be stunted in any hypothetical period. Non-vulnerable are those whose likelihood to be stunted is zero. The vulnerable face a probability between 0 and 1 of being stunted. The probability is calculated as the share of years in which the child would be stunted, given the village level distribution of weather shocks over the period 2000–2013. We provide estimates of vulnerability to stunting in Burkina Faso, Northern Ghana, Mali, Northern Nigeria, and Senegal by aggregating over villages, districts and countries.

KW - Climatic shocks

KW - Sahel

KW - Stunting

KW - Vulnerability

U2 - 10.1016/j.foodpol.2018.11.002

DO - 10.1016/j.foodpol.2018.11.002

M3 - Journal article

AN - SCOPUS:85056620824

VL - 83

SP - 39

EP - 47

JO - Food Policy

JF - Food Policy

SN - 0306-9192

ER -

ID: 214132911