Data for: "Neonatal mortality risk for vulnerable newborn types in 15 countries using 125.5 million nationwide birth outcome records, 2000–2020"

Suárez-Idueta, LORCID logo, Blencowe, HORCID logo, Okwaraji, YBORCID logo, Yargawa, JORCID logo, Bradley, EORCID logo, Gordon, AORCID logo, Flenady, VORCID logo, Paixao Cruz, ESORCID logo, Barreto, MLORCID logo, Lisonkova, SORCID logo, Wen, Q, Velebil, PORCID logo, Jírová, J, Horváth-Puhó, EORCID logo, Sørensen, HTORCID logo, Sakkeus, LORCID logo, Abuladze, LORCID logo, Yunis, KAORCID logo, Bizri, AAORCID logo, Barranco, A, Broeders, L, van Dijk, AE, Alyafei, FORCID logo, Olukade, TOORCID logo, Razaz, NORCID logo, Söderling, JORCID logo, Smith, LKORCID logo, Draper, ESORCID logo, Lowry, EORCID logo, Rowland, NORCID logo, Wood, RORCID logo, Monteath, K, Pereyra, IORCID logo, Pravia, GORCID logo, Ohuma, EOORCID logo and Lawn, JEORCID logo (2023). Data for: "Neonatal mortality risk for vulnerable newborn types in 15 countries using 125.5 million nationwide birth outcome records, 2000–2020". [Dataset]. London School of Hygiene & Tropical Medicine, London, United Kingdom. 10.17037/DATA.00003690.
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Data collected as part of a multi-country, population-based study to compare neonatal mortality risks by birthweight categories, gestational age, and newborn types.

Keywords

neonatal mortality, preterm birth, size for gestational age, vulnerable newborn

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Mortality_Risks_Newborn_Code.R
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R code script to generate relevant variables and calculate the relative risks of neonatal mortality by size at birth and birthweight
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Mortality_National_Newborn_Data.xlsx
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Excel sheet with aggregated information from 15 countries. Each row represents one country-year and each column represent one variable. Three countries present overall data
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Mortality_National_Newborn_codebook.html
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Codebook for Mortality National Newborn Types dataset
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3690_UserGuide.html
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User guide for Mortality National Newborn Types dataset and code
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