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The Global Burden of Meningitis in Children: Challenges with Interpreting Global Health Estimates

The World Health Organization (WHO) has developed a global roadmap to defeat meningitis by 2030. To advocate for and track progress of the roadmap, the burden of meningitis as a syndrome and by pathogen must be accurately defined. Three major global health models estimating meningitis mortality as a...

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Autores principales: Wright, Claire, Blake, Natacha, Glennie, Linda, Smith, Vinny, Bender, Rose, Kyu, Hmwe, Wunrow, Han Yong, Liu, Li, Yeung, Diana, Knoll, Maria Deloria, Wahl, Brian, Stuart, James M., Trotter, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917636/
https://www.ncbi.nlm.nih.gov/pubmed/33668442
http://dx.doi.org/10.3390/microorganisms9020377
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author Wright, Claire
Blake, Natacha
Glennie, Linda
Smith, Vinny
Bender, Rose
Kyu, Hmwe
Wunrow, Han Yong
Liu, Li
Yeung, Diana
Knoll, Maria Deloria
Wahl, Brian
Stuart, James M.
Trotter, Caroline
author_facet Wright, Claire
Blake, Natacha
Glennie, Linda
Smith, Vinny
Bender, Rose
Kyu, Hmwe
Wunrow, Han Yong
Liu, Li
Yeung, Diana
Knoll, Maria Deloria
Wahl, Brian
Stuart, James M.
Trotter, Caroline
author_sort Wright, Claire
collection PubMed
description The World Health Organization (WHO) has developed a global roadmap to defeat meningitis by 2030. To advocate for and track progress of the roadmap, the burden of meningitis as a syndrome and by pathogen must be accurately defined. Three major global health models estimating meningitis mortality as a syndrome and/or by causative pathogen were identified and compared for the baseline year 2015. Two models, (1) the WHO and the Johns Hopkins Bloomberg School of Public Health’s Maternal and Child Epidemiology Estimation (MCEE) group’s Child Mortality Estimation (WHO-MCEE) and (2) the Institute for Health Metrics and Evaluation (IHME) Global Burden of Disease Study (GBD 2017), identified meningitis, encephalitis and neonatal sepsis, collectively, to be the second and third largest infectious killers of children under five years, respectively. Global meningitis/encephalitis and neonatal sepsis mortality estimates differed more substantially between models than mortality estimates for selected infectious causes of death and all causes of death combined. Estimates at national level and by pathogen also differed markedly between models. Aligning modelled estimates with additional data sources, such as national or sentinel surveillance, could more accurately define the global burden of meningitis and help track progress against the WHO roadmap.
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spelling pubmed-79176362021-03-02 The Global Burden of Meningitis in Children: Challenges with Interpreting Global Health Estimates Wright, Claire Blake, Natacha Glennie, Linda Smith, Vinny Bender, Rose Kyu, Hmwe Wunrow, Han Yong Liu, Li Yeung, Diana Knoll, Maria Deloria Wahl, Brian Stuart, James M. Trotter, Caroline Microorganisms Article The World Health Organization (WHO) has developed a global roadmap to defeat meningitis by 2030. To advocate for and track progress of the roadmap, the burden of meningitis as a syndrome and by pathogen must be accurately defined. Three major global health models estimating meningitis mortality as a syndrome and/or by causative pathogen were identified and compared for the baseline year 2015. Two models, (1) the WHO and the Johns Hopkins Bloomberg School of Public Health’s Maternal and Child Epidemiology Estimation (MCEE) group’s Child Mortality Estimation (WHO-MCEE) and (2) the Institute for Health Metrics and Evaluation (IHME) Global Burden of Disease Study (GBD 2017), identified meningitis, encephalitis and neonatal sepsis, collectively, to be the second and third largest infectious killers of children under five years, respectively. Global meningitis/encephalitis and neonatal sepsis mortality estimates differed more substantially between models than mortality estimates for selected infectious causes of death and all causes of death combined. Estimates at national level and by pathogen also differed markedly between models. Aligning modelled estimates with additional data sources, such as national or sentinel surveillance, could more accurately define the global burden of meningitis and help track progress against the WHO roadmap. MDPI 2021-02-13 /pmc/articles/PMC7917636/ /pubmed/33668442 http://dx.doi.org/10.3390/microorganisms9020377 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wright, Claire
Blake, Natacha
Glennie, Linda
Smith, Vinny
Bender, Rose
Kyu, Hmwe
Wunrow, Han Yong
Liu, Li
Yeung, Diana
Knoll, Maria Deloria
Wahl, Brian
Stuart, James M.
Trotter, Caroline
The Global Burden of Meningitis in Children: Challenges with Interpreting Global Health Estimates
title The Global Burden of Meningitis in Children: Challenges with Interpreting Global Health Estimates
title_full The Global Burden of Meningitis in Children: Challenges with Interpreting Global Health Estimates
title_fullStr The Global Burden of Meningitis in Children: Challenges with Interpreting Global Health Estimates
title_full_unstemmed The Global Burden of Meningitis in Children: Challenges with Interpreting Global Health Estimates
title_short The Global Burden of Meningitis in Children: Challenges with Interpreting Global Health Estimates
title_sort global burden of meningitis in children: challenges with interpreting global health estimates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917636/
https://www.ncbi.nlm.nih.gov/pubmed/33668442
http://dx.doi.org/10.3390/microorganisms9020377
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