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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.
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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  Data: <searchLink fieldCode="AU" term="%22Soni+A%22">Soni A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Fahey+N%22">Fahey N</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ash+A%22">Ash A</searchLink>; Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Bhutta+Z%22">Bhutta Z</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Li+W%22">Li W</searchLink>; Program in Digital Medicine, Department of Medicine, UMass Chan Medical School, Worcester, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Simas+TM%22">Simas TM</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Nimbalkar+S%22">Nimbalkar S</searchLink>; Department of Pediatrics, Bhaikaka University, Karamsad, Gujarat, India.<br /><searchLink fieldCode="AU" term="%22Allison+J%22">Allison J</searchLink>; Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22International+Society+of+Global+Health%22">International Society of Global Health </searchLink><i>Country of Publication: </i>Scotland <i>NLM ID: </i>101578780 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2047-2986 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220472978%22">20472978 </searchLink><i>NLM ISO Abbreviation: </i>J Glob Health <i>Subsets: </i>MEDLINE
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        Value: 10.7189/jogh.12.04040
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        Text: English
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        StartPage: 04040
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      – TitleFull: 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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            NameFull: Soni A
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            – D: 14
              M: 05
              Text: 2022 May 14
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              Y: 2022
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