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(task) Estimating Food Consumption and Poverty Indices with Mobile Phone Data

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GRS, All Africa RSs

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eHealth, mobility, indicators, knowledge science

> http://arxiv.org/abs/1412.2595 <http://arxiv.org/abs/1412.2595>
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> Estimating Food Consumption and Poverty Indices with Mobile Phone Data
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> Computer Science > Computers and Society
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> (Submitted on 22 Nov 2014)
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> Recent studies have shown the value of mobile phone data to tackle problems related to economic development and humanitarian action. In this research, we assess the suitability of indicators derived from mobile phone data as a proxy for food security indicators. We compare the measures extracted from call detail records and airtime credit purchases to the results of a nationwide household survey conducted at the same time. Results show high correlations (> .8) between mobile phone data derived indicators and several relevant food security variables such as expenditure on food or vegetable consumption. This correspondence suggests that, in the future, proxies derived from mobile phone data could be used to provide valuable up-to-date operational information on food security throughout low and middle income countries.
> Submission history
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> From: Adeline Decuyper [view email <https://arxiv.org/show-email/0c1d3345/1412.2595>]
> [v1] Sat, 22 Nov 2014 09:25:22 GMT (981kb,D)

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