Mapping 123 million neonatal, infant and child deaths between 2000 and 2017
| dc.contributor.author | Burstein, Roy | |
| dc.contributor.author | Henry, Nathaniel J. | |
| dc.contributor.author | Collison, Michael | |
| dc.contributor.author | Marczak, Laurie B. | |
| dc.contributor.author | Sligar, Amber | |
| dc.contributor.author | Watson, Stefanie | |
| dc.contributor.author | Marquez, Neal | |
| dc.contributor.author | Bell, Brent | |
| dc.contributor.author | Bhattacharjee, Natalia V. | |
| dc.contributor.author | Dandona, L. | |
| dc.contributor.author | Alene, Kefyalew Addis | |
| dc.date.accessioned | 2020-11-09T01:27:05Z | |
| dc.date.available | 2020-11-09T01:27:05Z | |
| dc.date.issued | 2019-10-16 | |
| dc.date.updated | 2020-07-06T08:27:16Z | |
| dc.description.abstract | Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2 - to end preventable child deaths by 2030 - we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000-2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations. | en_AU |
| dc.description.sponsorship | This work was primarily supported by grant OPP1132415 from the Bill & Melinda Gates Foundation. | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.citation | Burstein, R., Henry, N.J., Collison, M.L. et al. Mapping 123 million neonatal, infant and child deaths between 2000 and 2017. Nature 574, 353–358 (2019). https://doi.org/10.1038/s41586-019-1545-0 | en_AU |
| dc.identifier.issn | 0028-0836 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/214129 | |
| dc.language.iso | en_AU | en_AU |
| dc.provenance | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | en_AU |
| dc.publisher | Macmillan Publishers Ltd | en_AU |
| dc.rights | © 2019 The Author(s) | en_AU |
| dc.rights.license | Creative Commons Attribution 4.0 International License | en_AU |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_AU |
| dc.source | Nature | en_AU |
| dc.title | Mapping 123 million neonatal, infant and child deaths between 2000 and 2017 | en_AU |
| dc.type | Journal article | en_AU |
| dcterms.accessRights | Open Access | en_AU |
| dcterms.dateAccepted | 2019-08-06 | |
| local.bibliographicCitation.issue | 7778 | en_AU |
| local.bibliographicCitation.lastpage | 358 | en_AU |
| local.bibliographicCitation.startpage | 353 | en_AU |
| local.contributor.affiliation | Burstein, Roy, University of Washington | en_AU |
| local.contributor.affiliation | Henry, Nathaniel J., University of Washington | en_AU |
| local.contributor.affiliation | Collison, Michael, University of Washington | en_AU |
| local.contributor.affiliation | Marczak, Laurie B., University of Washington | en_AU |
| local.contributor.affiliation | Sligar, Amber, University of Washington | en_AU |
| local.contributor.affiliation | Watson, Stefanie, University of Washington | en_AU |
| local.contributor.affiliation | Marquez, Neal, University of Washington | en_AU |
| local.contributor.affiliation | Bell, Brent, University of Washington | en_AU |
| local.contributor.affiliation | Bhattacharjee, Natalia V., University of Washington | en_AU |
| local.contributor.affiliation | Dandona, L., University of Washington | en_AU |
| local.contributor.affiliation | Alene, Kefyalew, College of Health and Medicine, ANU | en_AU |
| local.contributor.authoruid | Alene, Kefyalew, u5641168 | en_AU |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 111706 - Epidemiology | en_AU |
| local.identifier.absseo | 920501 - Child Health | en_AU |
| local.identifier.ariespublication | u5786633xPUB1585 | en_AU |
| local.identifier.citationvolume | 574 | en_AU |
| local.identifier.doi | 10.1038/s41586-019-1545-0 | en_AU |
| local.identifier.thomsonID | WOS:000490988300055 | |
| local.publisher.url | https://www.nature.com/ | en_AU |
| local.type.status | Published Version | en_AU |
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