Predictive algorithm to stratify newborns at-risk for child undernutrition in India: Secondary analysis of the National Family Health Survey-4.
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| Title: | Predictive algorithm to stratify newborns at-risk for child undernutrition in India: Secondary analysis of the National Family Health Survey-4. |
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| Authors: | Soni A; Program in Digital Medicine, Department of Medicine, UMass Chan Medical School, Worcester, Massachusetts, USA.; Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.; Department of Pediatrics, Bhaikaka University, Karamsad, Gujarat, India., Fahey N; Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.; Department of Pediatrics, Bhaikaka University, Karamsad, Gujarat, India.; Department of Pediatrics, UMass Chan Medical School, Worcester, Massachusetts, USA., Ash A; Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA., Bhutta Z; Centre of Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan.; Centre for Global Child Health, the Hospital for Sick Children, Toronto, Canada., Li W; Program in Digital Medicine, Department of Medicine, UMass Chan Medical School, Worcester, Massachusetts, USA., Simas TM; Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.; Department of Obstetrics and Gynecology, UMass Chan Medical School, Worcester, Massachusetts, USA., Nimbalkar S; Department of Pediatrics, Bhaikaka University, Karamsad, Gujarat, India., Allison J; Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA. |
| Source: | Journal of global health [J Glob Health] 2022 May 14; Vol. 12, pp. 04040. Date of Electronic Publication: 2022 May 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: International Society of Global Health Country of Publication: Scotland NLM ID: 101578780 Publication Model: Electronic Cited Medium: Internet ISSN: 2047-2986 (Electronic) Linking ISSN: 20472978 NLM ISO Abbreviation: J Glob Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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