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Estimating the completeness of death registration: An empirical method.

Timothy AdairAlan D Lopez
Published in: PloS one (2018)
The method demonstrates sufficient flexibility to predict a wide range of completeness levels at a given registered crude death rate. The method can be applied utilising data readily available at the subnational level, and can be used to assess completeness of deaths reported from health facilities, censuses and surveys. Its utility is diminished where the adult mortality rate is unusually high for a given under-five mortality rate. The method overcomes the considerable limitations of existing methods and has considerable potential for widespread application by national and subnational governments.
Keyphrases
  • public health
  • cardiovascular events
  • healthcare
  • machine learning
  • big data
  • coronary artery disease
  • climate change
  • electronic health record
  • deep learning