ArticlePloS one2018
Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Estimates of Under-Five Mortality From a Mobile Phone Survey During the COVID-19 Outbreak: An Observational Study Comparing Three Instruments in Malawi.Demography · 2026Observational
- Analysing space-time patterns of maternal mortality attributed to anaemia in Karnataka, India: a spatial epidemiological study.BMJ public health · 2024Article
- A consolidated and geolocated facility list in Senegal from triangulating secondary data.Scientific data · 2024Article
- Transitioning from the "Three Delays" to a focus on continuity of care: a qualitative analysis of maternal deaths in rural Pakistan and Mozambique.BMC pregnancy and childbirth · 2023Article
- Zero-inflated models for adjusting varying exposures: a cautionary note on the pitfalls of using offset.Journal of applied statistics · 2022Article
- A Bayesian approach for estimating age-adjusted rates for low-prevalence diseases over space and time.Statistics in medicine · 2021Article
- Mapping the Relative Risk of Congenital Hypothyroidism Incidence via Spatial Zero-Inflated Poisson Model in Guilan Province, Iran.International journal of preventive medicine · 2021Article
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7 authors.
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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.
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