Abstract
The scope of this article was to estimate the prevalence of severe food insecurity (SFI) in Brazilian municipalities in 2013. A logistic regression model was used to predict SFI. To construct the model, the 2013 National Household Sample Survey (PNAD) was used. SFI was measured using the Brazilian Food Insecurity Scale (EBIA). The final model was applied to the 2010 Census, predicting the municipal prevalence. The highest prevalence values were concentrated in the North and Northeast of Brazil, which also showed the highest municipality prevalence disparities. The highest municipal prevalence value of SFI was in the state of Maranhão and the lowest in Rio Grande do Sul. Maranhão was also the State with the largest intrastate disparities in the prevalence of SFI. Spatial analysis showed a higher prevalence of SFI in the North and Northeast regions. Acre had 100% of its municipalities presenting a very high prevalence of SFI. By contrast in the State of São Paulo, 59.1% of the municipalities have a low prevalence of SFI. The prevalence of municipal SFI was higher in Brazil's North and Northeast and there were major disparities in intraregional and intrastate distribution. These prevalence values could assist in improving the targeting of policies to combat food insecurity in Brazil.
Highlights
Resumo O objetivo deste artigo é estimar as prevalências de insegurança alimentar grave (IAG) para municípios brasileiros, em 2013
The scope of this article was to estimate the prevalence of severe food insecurity
The final model was applied to the 2010 Census
Summary
A Tabela 2 apresenta a distribuição percentual dos municípios brasileiros, por Região e UF, segundo quartis de prevalência de IAG. A Região Nordeste tem 62,7% dos seus municípios com prevalências muito-altas de IAG e a Região Sul não apresenta nenhum município nesta condição. Excetuando-se Rondônia, que apresenta prevalências de IA muito diferenciada dos seus pares das regiões Norte e Nordeste, o melhor desempenho é de Pernambuco, com. Amazonas, Pará, Maranhão e Bahia têm mais de 90% dos seus municípios com prevalências muito-altas de IAG. São Paulo, seguido de Santa Catarina e Rio Grande do Sul são os Estados com maior numero percentual de municípios com baixa prevalência de IAG. A Tabela 3 apresenta os 10 municípios brasileiros com maiores e menores prevalências de IAG.
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