Predictors of persistent moderate and severe food insecurity in a longitudinal survey in Mexico during the COVID-19 pandemic

Predictors of persistent moderate and severe food insecurity in a longitudinal survey in Mexico during the COVID-19 pandemic

BackgroundHousehold food insecurity (HFI) increased in Latin America by 9% between 2019 and 2020. Scant evidence shows who was unable to recover from the COVID-19 pandemic. Our aim was to use a Machine Learning (ML) approach to identify consistent and influential predictors of persistent moderate or...

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Main Authors: Pablo Gaitán-Rossi (Author), Alan Hernández-Solano (Author), Vitervo López-Caballero (Author), René Zurita-Corro (Author), Ximena García-Ruiz (Author), Víctor Pérez-Hernández (Author), Mireya Vilar-Compte (Author)
Format: Book
Published: Frontiers Media S.A., 2024-06-01T00:00:00Z.
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3rd Floor Main Library

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