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Small area estimation of under-5 mortality in Bangladesh, Cameroon, Chad, Mozambique, Uganda, and Zambia using spatially misaligned data.

Laura Dwyer-LindgrenEllen R SquiresStephanie TeepleGloria IkileziD Allen RobertsDanny V ColombaraSarah Katherine AllenStanley M KamandeNicholas GraetzAbraham D FlaxmanCharbel El BcheraouiKristjana AsbjornsdottirGilbert AsiimweÂngelo AugustoOrvalho AugustoBaltazar ChilundoCaroline De SchachtSarah GimbelCarol KamyaFaith NamugayaFelix MasiyeCremildo MauieiaYodé MiangotarHonoré MimcheAcácio SaboneteHaribondhu SarmaKenneth SherrMoses SimuyembaAaron Chisha SinyangweJasim UddinBradley H WagenaarStephen S Lim
Published in: Population health metrics (2018)
Subnational estimates of U5MR reveal significant within-country variation. These estimates could be used for identifying high-need areas and positive deviants, tracking trends in geographic inequalities, and evaluating progress towards international development targets such as the Sustainable Development Goals.
Keyphrases
  • magnetic resonance
  • risk factors
  • magnetic resonance imaging
  • single cell
  • type diabetes
  • gene expression
  • big data
  • computed tomography
  • global health
  • deep learning
  • artificial intelligence