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Machine learning and phone data can improve targeting of humanitarian aid
The COVID-19 pandemic has devastated many low- and middle-income countries, causing widespread food insecurity and a sharp decline in living standards(1). In response to this crisis, governments and humanitarian organizations worldwide have distributed social assistance to more than 1.5 billion peop...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967719/ https://www.ncbi.nlm.nih.gov/pubmed/35296856 http://dx.doi.org/10.1038/s41586-022-04484-9 |