Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017

Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the d...

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Autores:
Spencer L, James
Abate, Degu
Abate, Kalkidan Hassen
Abay, Solomon M
Abbafati, Cristiana
Abbasi, Nooshin
Abbastabar, Hedayat
Abd-Allah, Foad
Abdela, Jemal
Alvis Guzman, Nelson
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/4776
Acceso en línea:
http://hdl.handle.net/11323/4776
https://repositorio.cuc.edu.co/
Palabra clave:
Carga mundial de enfermedades, lesiones y factores de riesgo 2017
1990
Población mundial
Global burden of diseases, injuries and risk factors 2017
World population
Rights
openAccess
License
Attribution-NonCommercial-ShareAlike 4.0 International
Description
Summary:Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world’s population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data.