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

3690 54 14933 5 82273 document 14933 Mortality_National_Newborn_codebook.html text/html d50dfef653578c9620cccb793c54b12ae1610dbfc447e1419117433979e25349 SHA256 29354 2023-11-09 12:58:46 https://datacompass.lshtm.ac.uk/id/eprint/3690/3/Mortality_National_Newborn_codebook.html 3690 3 3 text/html Text en public cc_by_4

Mortality_National_Newborn_codebook.html

documentation indefinite Codebook for Mortality National Newborn Types dataset 14934 4 82275 document 14934 3690_UserGuide.html text/html d3bf008718ecd9a9915d0e611be13012fd57280baa2f34f4a3bef61aebde76f4 SHA256 12909 2023-11-09 14:24:08 https://datacompass.lshtm.ac.uk/id/eprint/3690/4/3690_UserGuide.html 3690 4 4 text/html Text en public cc_by_4

3690_UserGuide.html

documentation indefinite User guide for Mortality National Newborn Types dataset and code 14935 3 82282 document 14935 Mortality_Risks_Newborn_Code.R text/plain 352c9af26f5a0f15e99cd4330f85c59fc61c9d082e7de7e083b13b05d27a70b1 SHA256 14158 2023-11-09 14:28:58 https://datacompass.lshtm.ac.uk/id/eprint/3690/5/Mortality_Risks_Newborn_Code.R 3690 5 1 text/plain Script en public cc_by_4

Mortality_Risks_Newborn_Code.R

data indefinite R code script to generate relevant variables and calculate the relative risks of neonatal mortality by size at birth and birthweight 14936 4 82284 document 14936 Mortality_National_Newborn_Data.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet a21d1fd762a31cceb43a93dcc85f228e5865da1cd4e213b6b8f44c07ae2a4fea SHA256 32948 2023-11-09 14:29:01 https://datacompass.lshtm.ac.uk/id/eprint/3690/6/Mortality_National_Newborn_Data.xlsx 3690 6 2 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet Dataset en staffonly datasharingagreement

Mortality_National_Newborn_Data.xlsx

data indefinite 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 17111 1 95437 document 17111 indexcodes.txt text/plain 88f02d6ca8a83f98c394893d369f098da6a81b6723a77fd83c411af6569a5a4a SHA256 2575 2025-02-07 10:22:32 https://datacompass.lshtm.ac.uk/id/eprint/3690/7/indexcodes.txt 3690 7 7 text/plain en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/14933 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/14933 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/14933 indefinite Generate index codes conversion from Text to indexcodes 17112 1 95438 document 17112 indexcodes.txt text/plain 1529dcdc9dc4e9f99421b4e4936f6d1df2913df8ff90ed28b978c3c8c9ad6756 SHA256 3475 2025-02-07 10:22:32 https://datacompass.lshtm.ac.uk/id/eprint/3690/8/indexcodes.txt 3690 8 8 text/plain en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/14934 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/14934 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/14934 indefinite Generate index codes conversion from Text to indexcodes archive 3 disk0/00/00/36/90 2023-11-09 14:28:01 2025-08-26 14:08:02 2023-11-09 14:28:01 data_collection show Suárez-Idueta Lorena 0000-0003-0909-7737 FALSE Blencowe Hannah 0000-0003-1556-3159 TRUE d17be8fcc670410f2d9c4ced78d95599 Okwaraji Yemisrach B. 0000-0002-4541-2856 TRUE cc322efc43db0da7d99b2a8764e4178c Yargawa Judith 0000-0002-6299-2215 TRUE d9b7ba333a9673ab5d6558d304c1e2be Bradley Ellen 0009-0009-4457-0762 TRUE 8b2096d195d4586d345ecb1fc3580786 Gordon Adrienne 0000-0002-2328-1066 FALSE Flenady Vicky 0000-0001-8114-7677 FALSE Paixao Cruz Enny S. 0000-0002-4797-908X TRUE f26141c955180b10a4bde5a5a7289213 Barreto Mauricio L. 0000-0002-0215-4930 FALSE Lisonkova Sarka 0000-0002-1220-310X FALSE Wen Qi FALSE Velebil Petr 0009-0001-0643-1069 FALSE Jírová Jitka FALSE Horváth-Puhó Erzsebet 0000-0002-3594-2212 FALSE Sørensen Henrik Toft 0000-0003-4299-7040 FALSE Sakkeus Luule 0000-0003-3785-183X FALSE Abuladze Lili 0000-0002-0109-9757 FALSE Yunis Khalid A. 0000-0002-6384-2745 FALSE Bizri Ayah Al 0000-0002-0677-7879 FALSE Barranco Arturo FALSE Broeders Lisa FALSE van Dijk Aimée E. FALSE Alyafei Fawziya 0000-0001-6851-0654 FALSE Olukade Tawa O. 0000-0002-2103-5355 FALSE Razaz Neda 0000-0002-1273-0110 FALSE Söderling Jonas 0000-0001-9006-2835 FALSE Smith Lucy K. 0000-0001-9470-0793 FALSE Draper Elizabeth S. 0000-0001-9340-8176 FALSE Lowry Estelle 0000-0002-4655-416X FALSE Rowland Neil 0000-0001-9755-1682 FALSE Wood Rachael 0000-0003-4453-623X FALSE Monteath Kirsten FALSE Pereyra Isabel 0000-0002-4696-8063 FALSE Pravia Gabriella 0009-0006-5871-6257 FALSE Ohuma Eric O. 0000-0002-3116-2593 TRUE c5508e47ee8ebe50a3bf3a07ebcd0ac5 Lawn Joy E. 0000-0002-4573-1443 TRUE e784c3d5f93e4fbe55c11a28ded32c55 PrincipalInvestigator Ohuma Eric O. TRUE c5508e47ee8ebe50a3bf3a07ebcd0ac5 PrincipalInvestigator Blencowe Hannah TRUE d17be8fcc670410f2d9c4ced78d95599 London School of Hygiene & Tropical Medicine, London, United Kingdom Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States Data for: "Neonatal mortality risk for vulnerable newborn types in 15 countries using 125.5 million nationwide birth outcome records, 2000–2020" EPID neonatal mortality preterm birth size for gestational age vulnerable newborn Data collected as part of a multi-country, population-based study to compare neonatal mortality risks by birthweight categories, gestational age, and newborn types. 2023-11-07 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00003690 Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom XMCH Vulnerable Newborn Measurement Group Observation Experiment Recording ContentCoding CompilationSynthesis Summary Aggregation MeasurementsAndTests http://purl.org/dc/terms/isPartOf /id/eprint/3095 UXB-Neonatal surveillance restricted London, United Kingdom Children's Investment Fund Foundation Vulnerable Newborns: multi-country analyses to advance measurement related to preterm births and small-for-gestational age Dataset Quantitative We analysed routinely collected data on 125.5 million live births from 1 January 2000 to 31 December 2020 from 15 participating countries. Each country analysed their data and aggregated tables were shared online. 1803-02535 en 2000-01-01 2020-12-31 Vulnerable Newborns: multi-country analyses to advance measurement related to preterm births and small-for-gestational age https://obgyn.onlinelibrary.wiley.com/doi/toc/10.1111/(ISSN)1471-0528.vulnerable-newborns paper Small babies, big risks: global estimates of prevalence and mortality for vulnerable newborns to accelerate change and improve counting. https://researchonline.lshtm.ac.uk/id/eprint/4669652 Vulnerable Newborns: multi-country analyses to advance measurement related to preterm births and small-for-gestational age Children's Investment Fund Foundation 1803-02535 http://dx.doi.org/10.13039/100010409 2023-11-07