Number of deaths and DALYs attributable to risk factors in Australia between 1990 and 2019 (all ages)*. by Xiaoyue Xu (712736)

Trends in all-age numbers and ASRs of incidence, deaths and DALYs for ADD by sex, 1990-2021. by Siyu Liu (825600)

<i>FVC</i> variation based on Landsat and GaoFen satellites. by Ziheng Song (14380161)

Time series change of <i>FVC</i> in each analysis area. by Ziheng Song (14380161)

“…The results showed that: (1) The overall vegetation coverage showed a moderate decrease trend in fluctuation from 2017 to 2021. …”

Annual change rate of <i>FVC</i> in each analysis area. by Ziheng Song (14380161)

“…The results showed that: (1) The overall vegetation coverage showed a moderate decrease trend in fluctuation from 2017 to 2021. …”

DataSheet_1_Albinism in the largest extant amphibian: A metabolic, endocrine, or immune problem?.pdf by Liming Chang (2847938)

“…Albino individuals exhibited shifted transcription of MHC I isotypes, and the albino-specific isotype was characterized by increased charges and decreased space in the antigen- binding pocket, implying a drastic change in antigen specificity and a potential risk of autoimmune disorders.…”

Age, period, and cohort effects on the incidence of pancreatic cancer in China. by Zhouwei Zhan (18471500)

Joinpoint regression analysis of age-standardized rates for pancreatic cancer in China from 1990 to 2021. by Zhouwei Zhan (18471500)

“…(C) Age-standardized mortality rates for males and females, along with the total population trend, indicating key periods of increase in mortality rates. (D) DALYs for pancreatic cancer, capturing the combined burden across both sexes and the overall population. …”

(A) The rojected ASMR to 2040; (B) The projected number of death cases to 2040; (C) The projected ASDR to 2040; (D)The projected number of DALY cases through 2040;of pancreatitis d... by Letai Li (19229848)

Proportion of PUD DALYs and deaths attributable to smoking by gender, SDI quintile, and GBD region in 1990 and 2021. by Wende Hao (10315597)

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

Hospital admission rate for chronic non-communicable diseases (NCDs) in Brazil according to the type of NCD. by Rafael Alves Guimarães (4526788)

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Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and age group... by Rafael Alves Guimarães (4526788)

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Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for diabetes mellitus in Brazil according to subgroups by age group... by Rafael Alves Guimarães (4526788)

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Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and region of... by Rafael Alves Guimarães (4526788)

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Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD. by Rafael Alves Guimarães (4526788)

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Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for cardiovascular disease in Brazil according to subgroups by age... by Rafael Alves Guimarães (4526788)

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Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and sex. by Rafael Alves Guimarães (4526788)

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Fig 4 - by Rafael Alves Guimarães (4526788)

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Poisson multiple regression models of the impact of the coronavirus disease pandemic on hospital admissions for chronic non-communicable diseases (NCDs) in Brazil according to the... by Rafael Alves Guimarães (4526788)

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