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Food Insecurity Classification in Rural Areas of Mozambique: An Integrated Analysis of Survey-Based Indicators.
Pedroso, Rui; Quive, Samuel; Cumbana, Ivo; Mutisse, Luísa; Machava, Adérito.
Afiliação
  • Pedroso R; Faculty of Spatial Development and Infrastructure Systems, TH Köln/University of Applied Sciences, Institute for Technology and Resources Management in the Tropics and Subtropics (ITT), Cologne, Germany.
  • Quive S; Faculty of Arts and Social Sciences (FLCS), University Eduardo Mondlane (UEM), Maputo, Mozambique.
  • Cumbana I; Faculty of Arts and Social Sciences (FLCS), University Eduardo Mondlane (UEM), Maputo, Mozambique.
  • Mutisse L; Faculty of Arts and Social Sciences (FLCS), University Eduardo Mondlane (UEM), Maputo, Mozambique.
  • Machava A; Faculty of Arts and Social Sciences (FLCS), University Eduardo Mondlane (UEM), Maputo, Mozambique.
Ecol Food Nutr ; 63(2): 135-159, 2024.
Article em En | MEDLINE | ID: mdl-38349779
ABSTRACT
National food insecurity early warning systems and food policy interventions need reliable information concerning the classification of food insecurity. The aim of this paper was to produce an acute food insecurity classification in Mozambique, by i) analyzing food insecurity indicators individually; ii) comparing it with a new integrated analysis of survey-based indicators called the "Matrix Analysis." The Matrix results show more severe classifications than the single indicators for the analyzed districts. The matrix novelty consists on a cross-tabulation of all indicators, allowing a less subjective analysis. Further research is needed on how the Matrix approach could complement national classification systems.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Características da Família / Abastecimento de Alimentos Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Características da Família / Abastecimento de Alimentos Idioma: En Ano de publicação: 2024 Tipo de documento: Article