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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

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  • Osvaldo Loquiha
  • Niel Hens
  • Leonardo Chavane
  • Marleen Temmerman
  • Nafissa Osman
  • Christel Faes
  • Marc Aerts

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.

Suggested Citation

  • Osvaldo Loquiha & Niel Hens & Leonardo Chavane & Marleen Temmerman & Nafissa Osman & Christel Faes & 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, Public Library of Science, vol. 13(11), pages 1-21, November.
    • Handle: RePEc:plo:pone00:0202186
    DOI: 10.1371/journal.pone.0202186
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    References listed on IDEAS

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    1. Songane, Francisco Ferreira & Bergström, Staffan, 2002. "Quality of registration of maternal deaths in Mozambique: a community-based study in rural and urban areas," Social Science & Medicine, Elsevier, vol. 54(1), pages 23-31, January.
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    Cited by:

    1. Chung‐Wei Shen & Chun‐Shu Chen, 2024. "Estimation and selection for spatial zero‐inflated count models," Environmetrics, John Wiley & Sons, Ltd., vol. 35(4), June.
    2. Mounisai Siddartha Middela & Gitakrishnan Ramadurai, 2021. "Incorporating spatial interactions in zero-inflated negative binomial models for freight trip generation," Transportation, Springer, vol. 48(5), pages 2335-2356, October.

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