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Estimating Pneumonia Deaths of Post-Neonatal Children in Countries of Low or No Death Certification in 2008
BACKGROUND: Pneumonia is the leading cause of child deaths globally. The aims of this study were to: a) estimate the number and global distribution of pneumonia deaths for children 1–59 months for 2008 for countries with low (<85%) or no coverage of death certification using single-cause regressi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3178589/ https://www.ncbi.nlm.nih.gov/pubmed/21966425 http://dx.doi.org/10.1371/journal.pone.0025095 |
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author | Theodoratou, Evropi Zhang, Jian Shayne F. Kolcic, Ivana Davis, Andrew M. Bhopal, Sunil Nair, Harish Chan, Kit Yee Liu, Li Johnson, Hope Rudan, Igor Campbell, Harry |
author_facet | Theodoratou, Evropi Zhang, Jian Shayne F. Kolcic, Ivana Davis, Andrew M. Bhopal, Sunil Nair, Harish Chan, Kit Yee Liu, Li Johnson, Hope Rudan, Igor Campbell, Harry |
author_sort | Theodoratou, Evropi |
collection | PubMed |
description | BACKGROUND: Pneumonia is the leading cause of child deaths globally. The aims of this study were to: a) estimate the number and global distribution of pneumonia deaths for children 1–59 months for 2008 for countries with low (<85%) or no coverage of death certification using single-cause regression models and b) compare these country estimates with recently published ones based on multi-cause regression models. METHODS AND FINDINGS: For 35 low child-mortality countries with <85% coverage of death certification, a regression model based on vital registration data of low child-mortality and >85% coverage of death certification countries was used. For 87 high child-mortality countries pneumonia death estimates were obtained by applying a regression model developed from published and unpublished verbal autopsy data from high child-mortality settings. The total number of 1–59 months pneumonia deaths for the year 2008 for these 122 countries was estimated to be 1.18 M (95% CI 0.77 M–1.80 M), which represented 23.27% (95% CI 17.15%–32.75%) of all 1–59 month child deaths. The country level estimation correlation coefficient between these two methods was 0.40. INTERPRETATION: Although the overall number of post-neonatal pneumonia deaths was similar irrespective to the method of estimation used, the country estimate correlation coefficient was low, and therefore country-specific estimates should be interpreted with caution. Pneumonia remains the leading cause of child deaths and is greatest in regions of poverty and high child-mortality. Despite the concerns about gender inequity linked with childhood mortality we could not estimate sex-specific pneumonia mortality rates due to the inadequate data. Life-saving interventions effective in preventing and treating pneumonia mortality exist but few children in high pneumonia disease burden regions are able to access them. To achieve the United Nations Millennium Development Goal 4 target to reduce child deaths by two-thirds in year 2015 will require the scale-up of access to these effective pneumonia interventions. |
format | Online Article Text |
id | pubmed-3178589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31785892011-09-30 Estimating Pneumonia Deaths of Post-Neonatal Children in Countries of Low or No Death Certification in 2008 Theodoratou, Evropi Zhang, Jian Shayne F. Kolcic, Ivana Davis, Andrew M. Bhopal, Sunil Nair, Harish Chan, Kit Yee Liu, Li Johnson, Hope Rudan, Igor Campbell, Harry PLoS One Research Article BACKGROUND: Pneumonia is the leading cause of child deaths globally. The aims of this study were to: a) estimate the number and global distribution of pneumonia deaths for children 1–59 months for 2008 for countries with low (<85%) or no coverage of death certification using single-cause regression models and b) compare these country estimates with recently published ones based on multi-cause regression models. METHODS AND FINDINGS: For 35 low child-mortality countries with <85% coverage of death certification, a regression model based on vital registration data of low child-mortality and >85% coverage of death certification countries was used. For 87 high child-mortality countries pneumonia death estimates were obtained by applying a regression model developed from published and unpublished verbal autopsy data from high child-mortality settings. The total number of 1–59 months pneumonia deaths for the year 2008 for these 122 countries was estimated to be 1.18 M (95% CI 0.77 M–1.80 M), which represented 23.27% (95% CI 17.15%–32.75%) of all 1–59 month child deaths. The country level estimation correlation coefficient between these two methods was 0.40. INTERPRETATION: Although the overall number of post-neonatal pneumonia deaths was similar irrespective to the method of estimation used, the country estimate correlation coefficient was low, and therefore country-specific estimates should be interpreted with caution. Pneumonia remains the leading cause of child deaths and is greatest in regions of poverty and high child-mortality. Despite the concerns about gender inequity linked with childhood mortality we could not estimate sex-specific pneumonia mortality rates due to the inadequate data. Life-saving interventions effective in preventing and treating pneumonia mortality exist but few children in high pneumonia disease burden regions are able to access them. To achieve the United Nations Millennium Development Goal 4 target to reduce child deaths by two-thirds in year 2015 will require the scale-up of access to these effective pneumonia interventions. Public Library of Science 2011-09-22 /pmc/articles/PMC3178589/ /pubmed/21966425 http://dx.doi.org/10.1371/journal.pone.0025095 Text en Theodoratou et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Theodoratou, Evropi Zhang, Jian Shayne F. Kolcic, Ivana Davis, Andrew M. Bhopal, Sunil Nair, Harish Chan, Kit Yee Liu, Li Johnson, Hope Rudan, Igor Campbell, Harry Estimating Pneumonia Deaths of Post-Neonatal Children in Countries of Low or No Death Certification in 2008 |
title | Estimating Pneumonia Deaths of Post-Neonatal Children in Countries of Low or No Death Certification in 2008 |
title_full | Estimating Pneumonia Deaths of Post-Neonatal Children in Countries of Low or No Death Certification in 2008 |
title_fullStr | Estimating Pneumonia Deaths of Post-Neonatal Children in Countries of Low or No Death Certification in 2008 |
title_full_unstemmed | Estimating Pneumonia Deaths of Post-Neonatal Children in Countries of Low or No Death Certification in 2008 |
title_short | Estimating Pneumonia Deaths of Post-Neonatal Children in Countries of Low or No Death Certification in 2008 |
title_sort | estimating pneumonia deaths of post-neonatal children in countries of low or no death certification in 2008 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3178589/ https://www.ncbi.nlm.nih.gov/pubmed/21966425 http://dx.doi.org/10.1371/journal.pone.0025095 |
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