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Food environment indicators linked to social vulnerability in São Paulo

A new study analyzed food environment indicators across 96 districts in São Paulo to understand their relationship with social vulnerability. Researchers integrated data on food retail and street markets with the São Paulo Social Vulnerability Index (IPVS). Using eight machine-learning classifiers, they found that the densities of healthy and unhealthy food establishments contained significant information related to social vulnerability distribution at the district level. AI

IMPACT This research demonstrates the utility of machine learning models in analyzing socioeconomic data, potentially informing urban planning and public health initiatives.

RANK_REASON Academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Food environment indicators linked to social vulnerability in São Paulo

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Academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Pedro Lemes Sixel Lobo, Eric Tokuda, Kuruvilla Joseph Abraham, Roberto Fray, Dirce Maria Marchioni, Alexandre Cl\'audio Botazzo Delbem, Rogerio Salvini ·

    District-Level Food Environment Indicators and Social Vulnerability in S\~ao Paulo

    arXiv:2608.26299v1 Announce Type: cross Abstract: Urban food environments may reflect broader socioeconomic inequalities, but district-level evidence remains limited in Brazilian cities. This study examined whether indicators of food retail and street-market availability discrimi…