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The World Health Organization and global health estimates: improving collaboration and capacity
Global, regional, and country statistics on population and health indicators are important for assessing development and health progress and for guiding resource allocation; however, data are often lacking, especially in low- and middle-income countries. To fill the gaps, statistical modelling is fr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355571/ https://www.ncbi.nlm.nih.gov/pubmed/25858025 http://dx.doi.org/10.1186/s12916-015-0286-7 |
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author | Boerma, Ties Mathers, Colin D |
author_facet | Boerma, Ties Mathers, Colin D |
author_sort | Boerma, Ties |
collection | PubMed |
description | Global, regional, and country statistics on population and health indicators are important for assessing development and health progress and for guiding resource allocation; however, data are often lacking, especially in low- and middle-income countries. To fill the gaps, statistical modelling is frequently used to produce comparable health statistics across countries that can be combined to produce regional and global statistics. The World Health Organization (WHO), in collaboration with other United Nations agencies and academic experts, regularly updates estimates for key indicators and involves its Member States in the process. Academic institutions also publish estimates independent from the WHO using different methods. The use of sophisticated statistical estimation methods to fill missing values for countries can reduce the pressures on governments and development agencies to improve information systems. Efforts to improve estimates must be accompanied by concerted attempts to address data gaps, common standards for documentation, sharing of data and methods, and regular interaction and collaboration among all groups involved. |
format | Online Article Text |
id | pubmed-4355571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43555712015-03-12 The World Health Organization and global health estimates: improving collaboration and capacity Boerma, Ties Mathers, Colin D BMC Med Commentary Global, regional, and country statistics on population and health indicators are important for assessing development and health progress and for guiding resource allocation; however, data are often lacking, especially in low- and middle-income countries. To fill the gaps, statistical modelling is frequently used to produce comparable health statistics across countries that can be combined to produce regional and global statistics. The World Health Organization (WHO), in collaboration with other United Nations agencies and academic experts, regularly updates estimates for key indicators and involves its Member States in the process. Academic institutions also publish estimates independent from the WHO using different methods. The use of sophisticated statistical estimation methods to fill missing values for countries can reduce the pressures on governments and development agencies to improve information systems. Efforts to improve estimates must be accompanied by concerted attempts to address data gaps, common standards for documentation, sharing of data and methods, and regular interaction and collaboration among all groups involved. BioMed Central 2015-03-10 /pmc/articles/PMC4355571/ /pubmed/25858025 http://dx.doi.org/10.1186/s12916-015-0286-7 Text en © Boerma and Mathers; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Commentary Boerma, Ties Mathers, Colin D The World Health Organization and global health estimates: improving collaboration and capacity |
title | The World Health Organization and global health estimates: improving collaboration and capacity |
title_full | The World Health Organization and global health estimates: improving collaboration and capacity |
title_fullStr | The World Health Organization and global health estimates: improving collaboration and capacity |
title_full_unstemmed | The World Health Organization and global health estimates: improving collaboration and capacity |
title_short | The World Health Organization and global health estimates: improving collaboration and capacity |
title_sort | world health organization and global health estimates: improving collaboration and capacity |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355571/ https://www.ncbi.nlm.nih.gov/pubmed/25858025 http://dx.doi.org/10.1186/s12916-015-0286-7 |
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