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Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique

Maternal mortality remains very high in Mozambique, with estimates from 2015 showing a maternal mortality ratio of 489 deaths per 100,000 live births, even though the rates tend to decrease since 1990. Pregnancy related hemorrhage, gestational hypertension and diseases such as malaria and HIV/AIDS a...

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Autores principales: Loquiha, Osvaldo, Hens, Niel, Chavane, Leonardo, Temmerman, Marleen, Osman, Nafissa, Faes, Christel, Aerts, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6226154/
https://www.ncbi.nlm.nih.gov/pubmed/30412633
http://dx.doi.org/10.1371/journal.pone.0202186
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author Loquiha, Osvaldo
Hens, Niel
Chavane, Leonardo
Temmerman, Marleen
Osman, Nafissa
Faes, Christel
Aerts, Marc
author_facet Loquiha, Osvaldo
Hens, Niel
Chavane, Leonardo
Temmerman, Marleen
Osman, Nafissa
Faes, Christel
Aerts, Marc
author_sort Loquiha, Osvaldo
collection PubMed
description Maternal mortality remains very high in Mozambique, with estimates from 2015 showing a maternal mortality ratio of 489 deaths per 100,000 live births, even though the rates tend to decrease since 1990. Pregnancy related hemorrhage, gestational hypertension and diseases such as malaria and HIV/AIDS are amongst the leading causes of maternal death in Mozambique, and a significant number of these deaths occur within health facilities. Often, the analysis of data on maternal mortality involves the use of counts of maternal deaths as outcome variable. Previously we showed that a class of hierarchical zero-inflated models were very successful in dealing with overdispersion and clustered counts when analyzing data on maternal deaths and related risk factors within health facilities in Mozambique. This paper aims at providing additional insights over previous analyses and presents an extension of such models to account for spatial variation in a disease mapping framework of facility-based maternal mortality in Mozambique.
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spelling pubmed-62261542018-11-19 Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique Loquiha, Osvaldo Hens, Niel Chavane, Leonardo Temmerman, Marleen Osman, Nafissa Faes, Christel Aerts, Marc PLoS One Research Article Maternal mortality remains very high in Mozambique, with estimates from 2015 showing a maternal mortality ratio of 489 deaths per 100,000 live births, even though the rates tend to decrease since 1990. Pregnancy related hemorrhage, gestational hypertension and diseases such as malaria and HIV/AIDS are amongst the leading causes of maternal death in Mozambique, and a significant number of these deaths occur within health facilities. Often, the analysis of data on maternal mortality involves the use of counts of maternal deaths as outcome variable. Previously we showed that a class of hierarchical zero-inflated models were very successful in dealing with overdispersion and clustered counts when analyzing data on maternal deaths and related risk factors within health facilities in Mozambique. This paper aims at providing additional insights over previous analyses and presents an extension of such models to account for spatial variation in a disease mapping framework of facility-based maternal mortality in Mozambique. Public Library of Science 2018-11-09 /pmc/articles/PMC6226154/ /pubmed/30412633 http://dx.doi.org/10.1371/journal.pone.0202186 Text en © 2018 Loquiha 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Loquiha, Osvaldo
Hens, Niel
Chavane, Leonardo
Temmerman, Marleen
Osman, Nafissa
Faes, Christel
Aerts, Marc
Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique
title Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique
title_full Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique
title_fullStr Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique
title_full_unstemmed Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique
title_short Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique
title_sort mapping maternal mortality rate via spatial zero-inflated models for count data: a case study of facility-based maternal deaths from mozambique
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6226154/
https://www.ncbi.nlm.nih.gov/pubmed/30412633
http://dx.doi.org/10.1371/journal.pone.0202186
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