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Saeid Safiri

Researcher at Tabriz University of Medical Sciences

Publications -  67
Citations -  15478

Saeid Safiri is an academic researcher from Tabriz University of Medical Sciences. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 14, co-authored 35 publications receiving 4950 citations. Previous affiliations of Saeid Safiri include Guy's and St Thomas' NHS Foundation Trust & Thomas Jefferson University.

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Journal ArticleDOI

Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Theo Vos, +2419 more
- 17 Oct 2020 - 
TL;DR: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates, and there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries.
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Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Christopher J L Murray, +2272 more
- 17 Oct 2020 - 
TL;DR: The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure.
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Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Amanuel Alemu Abajobir, +639 more
- 16 Sep 2017 - 
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease as discussed by the authors.
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Global, regional, and national burden of neurological disorders during 1990-2015

Valery L. Feigin, +241 more
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Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Bin Zhou, +1144 more
- 11 Sep 2021 - 
TL;DR: In this article, a Bayesian hierarchical model was used to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control).