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

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 developed...

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Detalles Bibliográficos
Autores principales: Johnson, Sarah Charlotte, Cunningham, Matthew, Dippenaar, Ilse N., Sharara, Fablina, Wool, Eve E., Agesa, Kareha M., Han, Chieh, Miller-Petrie, Molly K., Wilson, Shadrach, Fuller, John E., Balassyano, Shelly, Bertolacci, Gregory J., Davis Weaver, Nicole, Lopez, Alan D., Murray, Christopher J. L., Naghavi, Mohsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170729/
https://www.ncbi.nlm.nih.gov/pubmed/34078366
http://dx.doi.org/10.1186/s12911-021-01501-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170729/
https://www.ncbi.nlm.nih.gov/pubmed/34078366
http://dx.doi.org/10.1186/s12911-021-01501-1

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