Paperback (31 Jul 2024)
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The multi-stressor nature of the COVID-19 generalized disruption is leveraged as an opportunity to test the out-of-sample forecasting accuracy of both theory-based and data-driven vulnerability prediction models for the ex ante targeting of preventive interventions. This retrospective evaluation assesses the models' ability to anticipate households and agrifood system actors experiencing food insecurity and income losses during the COVID-19 pandemic.
| ISBN: | 9789251388235 |
| Publisher: | Food and Agriculture Organization of the United Nations - FAO |
| Imprint: | Food and Agriculture Organization of the United Nations |
| Pub date: | 31 Jul 2024 |
| Language: | English |
| Number of pages: | 60 |
| Weight: | -1g |
| Height: | 297mm |
| Width: | 210mm |
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