Crowdsourced data reveal threats to household food security in near real-time during COVID-19 pandemic
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...
| Autores principales: | , , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/141316 |
| Sumario: | 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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