Crowdsourced data reveal threats to household food security in near real-time during COVID-19 pandemic

Citation

Adewopo, Julius; Hermosilla, Gloria Solano; Micale, Fabio; and Colen, Liesbeth. 2022. Crowdsourced data reveal threats to household food security in near real-time during COVID-19 pandemic. In COVID-19 and global food security: Two years later, eds. John McDermott and Johan Swinnen. Part One: Food Security & Poverty, Chapter 5, Pp. 40-45. https://doi.org/10.2499/9780896294226_05.

Abstract/Description

The COVID-19 pandemic and related lockdown measures have disrupted food systems globally, leading to fluctuations in the prices of some food commodities, from local to national levels. Yet detailed data-driven evidence of the extent, timing, and localization of the impact on food security are rarely available quickly enough or with sufficient granularity to guide policy responses.

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en

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Open Access Open Access

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CC-BY-4.0

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