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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

(2018) PLOS ONE. 13(11).
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Abstract
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.
Keywords
BAYESIAN-ANALYSIS, POISSON MODELS, BINOMIAL REGRESSION, HEALTH, FACILITIES, MIXTURE MODEL, HURDLE MODELS, MAPUTO, ISSUES

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MLA
Loquiha, Osvaldo et al. “Mapping Maternal Mortality Rate via Spatial Zero-inflated Models for Count Data : a Case Study of Facility-based Maternal Deaths from Mozambique.” PLOS ONE 13.11 (2018): n. pag. Print.
APA
Loquiha, O., Hens, N., Chavane, L. A., Temmerman, M., Osman, N., Faes, C., & Aerts, M. (2018). Mapping maternal mortality rate via spatial zero-inflated models for count data : a case study of facility-based maternal deaths from Mozambique. PLOS ONE, 13(11).
Chicago author-date
Loquiha, Osvaldo, Niel Hens, Leonardo António Chavane, Marleen Temmerman, Nafissa Osman, Christel Faes, and Marc Aerts. 2018. “Mapping Maternal Mortality Rate via Spatial Zero-inflated Models for Count Data : a Case Study of Facility-based Maternal Deaths from Mozambique.” Plos One 13 (11).
Chicago author-date (all authors)
Loquiha, Osvaldo, Niel Hens, Leonardo António Chavane, Marleen Temmerman, Nafissa Osman, Christel Faes, and Marc Aerts. 2018. “Mapping Maternal Mortality Rate via Spatial Zero-inflated Models for Count Data : a Case Study of Facility-based Maternal Deaths from Mozambique.” Plos One 13 (11).
Vancouver
1.
Loquiha O, Hens N, Chavane LA, Temmerman M, Osman N, Faes C, et al. Mapping maternal mortality rate via spatial zero-inflated models for count data : a case study of facility-based maternal deaths from Mozambique. PLOS ONE. 2018;13(11).
IEEE
[1]
O. Loquiha et al., “Mapping maternal mortality rate via spatial zero-inflated models for count data : a case study of facility-based maternal deaths from Mozambique,” PLOS ONE, vol. 13, no. 11, 2018.
@article{8604978,
  abstract     = {{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.}},
  articleno    = {{e0202186}},
  author       = {{Loquiha, Osvaldo and Hens, Niel and Chavane, Leonardo António and Temmerman, Marleen and Osman, Nafissa and Faes, Christel and Aerts, Marc}},
  issn         = {{1932-6203}},
  journal      = {{PLOS ONE}},
  keywords     = {{BAYESIAN-ANALYSIS,POISSON MODELS,BINOMIAL REGRESSION,HEALTH,FACILITIES,MIXTURE MODEL,HURDLE MODELS,MAPUTO,ISSUES}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{21}},
  title        = {{Mapping maternal mortality rate via spatial zero-inflated models for count data : a case study of facility-based maternal deaths from Mozambique}},
  url          = {{http://dx.doi.org/10.1371/journal.pone.0202186}},
  volume       = {{13}},
  year         = {{2018}},
}

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