Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021 by Stein Emil, Vollset

“…MethodsUsing forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. …”
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Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021 by Stein Emil, Vollset

“…MethodsUsing forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. …”
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Table 1_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

Table 4_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

Image 1_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.tif by Ning An (618997)

Table 3_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

Table 2_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

YorkU.forest.Oct25-2016.csv by Andrew Laruffa (3116073)

JIL-1–dependent H3S10phK14ac is enriched on the compensated X chromosome together with JIL-1. by Catherine Regnard (227884)

“…(D) Decrease of H3S10phK14ac ChIP signal at the 3′ end of the genes <i>phl</i>, <i>CG12467</i>, <i>Suv4.20</i>, <i>CG14804</i> and <i>RpII215</i> after JIL-1 RNAi as compared to a control GST RNAi. …”

Data_Sheet_1_Dynamical Projections of the Mean and Extreme Wave Climate in the Bohai Sea, Yellow Sea and East China Sea.docx by Delei Li (3370511)

Data_Sheet_1_Dynamical Projections of the Mean and Extreme Wave Climate in the Bohai Sea, Yellow Sea and East China Sea.docx by Delei Li (3370511)

Data_Sheet_1_Future Representation of Species’ Climatic Niches in Protected Areas: A Case Study With Austrian Endemics.CSV by Philipp Semenchuk (11497633)

Data_Sheet_1_Future Representation of Species’ Climatic Niches in Protected Areas: A Case Study With Austrian Endemics.docx by Philipp Semenchuk (11497633)

Efficacy of vitamin D fortified foods on bone mineral density and serum bone biomarkers: A systematic review and meta-analysis of interventional studies by Hadith Tangestani (6202022)

A Home-Based Educational Intervention Improves Patient Activation Measures and Diabetes Health Indicators among Zuni Indians by Vallabh O. Shah (498424)

Impacts of forestation and deforestation on local temperature across the globe by Jayme A. Prevedello (3300513)

Health and Economic Burden of Obesity in Brazil by Ketevan Rtveladze (142281)

“…The health care costs will double from 2010 ($5.8 billion) in 2050 alone ($10.1 billion). Over 40 years costs will reach $330 billion. …”

DataSheet_2_Potential global geographical distribution of Lolium temulentum L. under climate change.xlsx by Ming Yang (109148)

“…The widest total suitable habitat was distributed in Asia, covering nearly 796 × 10⁴ km². By the 2050s, the potential geographical distribution of L. temulentum was expected to decrease in the Northern Hemisphere, and shrink gradually in southern America, Africa, and Oceania. …”

DataSheet_1_Potential global geographical distribution of Lolium temulentum L. under climate change.docx by Ming Yang (109148)

“…The widest total suitable habitat was distributed in Asia, covering nearly 796 × 10⁴ km². By the 2050s, the potential geographical distribution of L. temulentum was expected to decrease in the Northern Hemisphere, and shrink gradually in southern America, Africa, and Oceania. …”

Sagittal Balance Parameters and Proximal Junctional Kyphosis in Adolescent Idiopathic Scoliosis: Dataset and Results. by Galateia Katzouraki (18243523)