期刊论文详细信息
Agriculture & Food Security
Validity of household survey indicators to monitor food security in time and space:Burkina Faso case study
Research
Elodie Maître d’Hôtel1  Yves Gérard Bazié2  Mathieu Roche3  Agnès Bégué3  Hugo Deléglise3  Roberto Interdonato3  Maguelonne Teisseire4 
[1] MOISA, CIHEAM-IAMM, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France;CIRAD, UMR MOISA, Montpellier, France;Ministère de l’Agriculture, Ouagadougou, Burkina Faso;TETIS, AgroParisTech, CIRAD, CNRS, INRAE, Univ Montpellier, Montpellier, France;CIRAD, UMR TETIS, Montpellier, France;TETIS, AgroParisTech, CIRAD, CNRS, INRAE, Univ Montpellier, Montpellier, France;INRAE, UMR TETIS, Montpellier, France;
关键词: Indicators;    Food consumption score;    Household Dietary Diversity Score;    Coping strategies index;    Household surveys;    Spatiotemporal analysis;   
DOI  :  10.1186/s40066-022-00402-4
 received in 2022-03-07, accepted in 2022-11-21,  发布年份 2022
来源: Springer
PDF
【 摘 要 】

BackgroundThe timely and accurate identification of food insecurity situations represents a challenging issue. Household surveys are routinely used in low-income countries and are an essential tool for obtaining key food security indicators that are used by decision makers to determine the targets of food security interventions.MethodologyThis paper investigates the spatial and temporal quality of the food security indicators obtained through household surveys. The empirical case of Burkina Faso is used in this paper, where a large-scale rural household survey has been conducted yearly since 2009. From this data set, three food security indicators (the Food Consumption Score, the Household Dietary Diversity Score and the Coping Strategies Index) are calculated at the regional level for each year during the 2009–2017 period.ResultsResults highlight that observed spatiotemporal variations in these indicators are consistent with the major regional food shocks reported in food warning system reports and are significantly correlated with variations computed from other sources of data, such as satellite images, rainfall and food prices.ConclusionThese results raise new research questions on food security monitoring systems and on the use of heterogeneous data and multiple food security indicators.

【 授权许可】

CC BY   
© The Author(s) 2022

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