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Nigeria: crowdsourced data reveals threats to household food security in near real-time during COVID-19 pandemic

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This article related to the DataM dashboard Food Price Crowdsourcing Africa that was released on July 2020 is in now available on the blog of the International Food Policy Research Institute (IFPRI

The work was supported by the European Commission's Joint Research Centre and the International Institute of Tropical Agriculture

Find the post online at https://www.ifpri.org/blog/crowdsourced-data-reveals-threats-household-food-security-near-real-time-during-covid-19

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

Authors: Adewopo, J; Solano-Hermosilla, G; Micale, F; Colen, L

Journal: IFPRI blog

Abstract: The COVID-19 pandemic has led to multiple disruptions in food demand and supply, and while in general food systems have proven more resilient than many expected so far, the poor and vulnerable have been hit hardest. In this regard, food prices are a critical indicator. Most food price tracking systems aggregate data that may miss short-term price spikes in specific locations—information that could be used to target relief. Here, researchers from the European Commission's Joint Research Centre and the International Institute of Tropical Agriculture describe the development of a crowdsourcing tool for collecting real-time local price data. They used it to capture food prices in locations in northern Nigeria during a 4-week pandemic lockdown period, showing important temporal and spatial price variations for staple foods. Based on their experience, they discuss the benefits and challenges, in emergencies and more generally, of crowdsourcing approaches for food prices.—John McDermott, series co-editor and Director, CGIAR Research Program on Agriculture for Nutrition and Health (A4NH).

This publication is classified under the DataM section(s) for:

Find it also in: the DataM publications navigator, and in the PANAP navigator

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