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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-6226154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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