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Volumn 350, Issue 6264, 2015, Pages 1073-1076

Predicting poverty and wealth from mobile phone metadata

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSIMILATION; MOBILE COMMUNICATION; PLANNING SYSTEM; POVERTY; PREDICTION; SOCIAL STATUS; SOCIOECONOMIC CONDITIONS;

EID: 84948451086     PISSN: 00368075     EISSN: 10959203     Source Type: Journal    
DOI: 10.1126/science.aac4420     Document Type: Article
Times cited : (567)

References (29)
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    • (2014) The Mobile Economy 2014
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    • Candia, J.1
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    • DHS Final Reports (publication ID FR259, NISR, MOH, and ICF International, Calverton, MD
    • National Institute of Statistics of Rwanda (NISR) [Rwanda], Ministry of Health (MOH) [Rwanda], ICF International, "Rwanda Demographic and Health Survey 2010," DHS Final Reports (publication ID FR259, NISR, MOH, and ICF International, Calverton, MD, 2012).
    • (2012) Rwanda Demographic and Health Survey 2010
  • 29
    • 84923285575 scopus 로고    scopus 로고
    • A. Wesolowski et al., PLOS Curr. 10.1371/currents. outbreaks.0177e7fcf52217b8b634376e2f3efc5e (2014).
    • (2014) PLOS Curr.
    • Wesolowski, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.