Scott D Glenn
Biographic Data
| ID | 6174782 |
|---|---|
| NAME | Scott D Glenn |
| GIVEN NAMES | Scott D |
| FAMILY NAME | Glenn |
| SIGNATURE | GLENN S D |
| AFFILIATIONS | Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Health trends, inequalities and opportunities in South Africa’s provinces, 1990–2019
BACKGROUND: Over the last 30 years, South Africa has experienced four 'colliding epidemics' of HIV and tuberculosis, chronic illness and mental health, injury and violence, and maternal, neonatal, and child mortality, which have had substantial effects on health and well-being. Using data from the 2019 Global Burden of Diseases, Injuries and Risk Factors Study (GBD 2019), we evaluated national and provincial health trends and progress towards imp…
The burden of mental disorders across the states of India
BACKGROUND: Mental disorders are among the leading causes of non-fatal disease burden in India, but a systematic understanding of their prevalence, disease burden, and risk factors is not readily available for each state of India. In this report, we describe the prevalence and disease burden of each mental disorder for the states of India, from 1990 to 2017. METHODS: We used all accessible data from multiple sources to estimate the prevalence of …
The impact of air pollution on deaths, disease burden, and life expectancy across the states of India
Background Air pollution is a major planetary health risk, with India estimated to have some of the worst levels globally. To inform action at subnational levels in India, we estimated the exposure to air pollution and its impact on deaths, disease burden, and life expectancy in every state of India in 2017. Methods We estimated exposure to air pollution, including ambient particulate matter pollution, defined as the annual average gridded concen…
Global, Regional, National, and Subnational Big Data to Inform Health Equity Research
Policymakers need a comprehensive picture of what risks and causes result in disability and death. The GBD provides the means to quantify health loss: these findings can be used to examine root causes of disparities and develop programs to improve health and health equity
Global, Regional, National, and Subnational Big Data to Inform Health Equity Research
Objectives: Everyone deserves a long and healthy life, but in reality, health outcomes differ across populations. We use results from the Global Burden of Disease Study 2017 (GBD 2017) to report patterns in the burden of diseases, injuries, and risks at the global, regional, national, and subnational level, and by sociodemographic index (SDI), from 1990 to 2017.Design: GBD 2017 undertook a systematic analysis of published studies and available da…
Burden of disease in Brazil, 1990–2016
BACKGROUND: Political, economic, and epidemiological changes in Brazil have affected health and the health system. We used the Global Burden of Disease Study 2016 (GBD 2016) results to understand changing health patterns and inform policy responses. METHODS: We analysed GBD 2016 estimates for life expectancy at birth (LE), healthy life expectancy (HALE), all-cause and cause-specific mortality, years of life lost (YLLs), years lived with disabilit…
Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries
BACKGROUND: The UN's Sustainable Development Goals (SDGs) are grounded in the global ambition of "leaving no one behind". Understanding today's gains and gaps for the health-related SDGs is essential for decision makers as they aim to improve the health of populations. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016), we measured 37 of the 50 health-related SDG indicators over the period 1990-2016 for 188…
No prominent works on this page.
Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries
BACKGROUND: The UN's Sustainable Development Goals (SDGs) are grounded in the global ambition of "leaving no one behind". Understanding today's gains and gaps for the health-related SDGs is essential for decision makers as they aim to improve the health of populations. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016), we measured 37 of the 50 health-related SDG indicators over the period 1990-2016 for 188…
Burden of disease in Brazil, 1990–2016
BACKGROUND: Political, economic, and epidemiological changes in Brazil have affected health and the health system. We used the Global Burden of Disease Study 2016 (GBD 2016) results to understand changing health patterns and inform policy responses. METHODS: We analysed GBD 2016 estimates for life expectancy at birth (LE), healthy life expectancy (HALE), all-cause and cause-specific mortality, years of life lost (YLLs), years lived with disabilit…
The impact of air pollution on deaths, disease burden, and life expectancy across the states of India
Background Air pollution is a major planetary health risk, with India estimated to have some of the worst levels globally. To inform action at subnational levels in India, we estimated the exposure to air pollution and its impact on deaths, disease burden, and life expectancy in every state of India in 2017. Methods We estimated exposure to air pollution, including ambient particulate matter pollution, defined as the annual average gridded concen…
Global, Regional, National, and Subnational Big Data to Inform Health Equity Research
Policymakers need a comprehensive picture of what risks and causes result in disability and death. The GBD provides the means to quantify health loss: these findings can be used to examine root causes of disparities and develop programs to improve health and health equity
Global, Regional, National, and Subnational Big Data to Inform Health Equity Research
Objectives: Everyone deserves a long and healthy life, but in reality, health outcomes differ across populations. We use results from the Global Burden of Disease Study 2017 (GBD 2017) to report patterns in the burden of diseases, injuries, and risks at the global, regional, national, and subnational level, and by sociodemographic index (SDI), from 1990 to 2017.Design: GBD 2017 undertook a systematic analysis of published studies and available da…
The burden of mental disorders across the states of India
BACKGROUND: Mental disorders are among the leading causes of non-fatal disease burden in India, but a systematic understanding of their prevalence, disease burden, and risk factors is not readily available for each state of India. In this report, we describe the prevalence and disease burden of each mental disorder for the states of India, from 1990 to 2017. METHODS: We used all accessible data from multiple sources to estimate the prevalence of …
Health trends, inequalities and opportunities in South Africa’s provinces, 1990–2019
BACKGROUND: Over the last 30 years, South Africa has experienced four 'colliding epidemics' of HIV and tuberculosis, chronic illness and mental health, injury and violence, and maternal, neonatal, and child mortality, which have had substantial effects on health and well-being. Using data from the 2019 Global Burden of Diseases, Injuries and Risk Factors Study (GBD 2019), we evaluated national and provincial health trends and progress towards imp…
Burden of disease (7 works) · Environmental health (7 works) · Medicine (7 works) · Disease (6 works) · Disease burden (6 works) · Population (5 works) · Demography (4 works) · Global Public Health Policies and Epidemiology (4 works) · Life expectancy (4 works) · Global health (3 works)