Public health utility of cause of death data: applying empirical algorithms to improve data quality

Public health utility of cause of death data: applying empirical algorithms to improve data quality

Abstract Background Accurate, comprehensive, cause-specific mortality estimates are crucial for informing public health decision making worldwide. Incorrectly or vaguely assigned deaths, defined as garbage-coded deaths, mask the true cause distribution. The Global Burden of Disease (GBD) study has d...

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Bibliographic Details
Main Authors: Sarah Charlotte Johnson, Matthew Cunningham, Ilse N. Dippenaar, Fablina Sharara, Eve E. Wool, Kareha M. Agesa, Chieh Han, Molly K. Miller-Petrie, Shadrach Wilson, John E. Fuller, Shelly Balassyano, Gregory J. Bertolacci, Nicole Davis Weaver, GBD Cause of Death Collaborators, Alan D. Lopez, Christopher J. L. Murray, Mohsen Naghavi
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Redistribution
Garbage codes
Cause of death
Global Burden of Disease
Star ranking system
Vital registration
Online Access:https://doi.org/10.1186/s12911-021-01501-1

Internet

https://doi.org/10.1186/s12911-021-01501-1

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