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Showing 81 - 100 results of 116 for search '(( significant decrease decrease ) OR ( significant ((sex decrease) OR (greater decrease)) ))~', query time: 0.48s Refine Results
  1. 81
    Data_Sheet_11_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF

    Data_Sheet_11_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

    Published 2024
    “…This study examines the burden of MS from 1990 to 2019, providing a detailed analysis by age, sex, and sociodemographic index (SDI) across 204 countries and territories.…”
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  2. 82
    Data_Sheet_9_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF

    Data_Sheet_9_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

    Published 2024
    “…This study examines the burden of MS from 1990 to 2019, providing a detailed analysis by age, sex, and sociodemographic index (SDI) across 204 countries and territories.…”
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  3. 83
    Data_Sheet_6_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF

    Data_Sheet_6_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

    Published 2024
    “…This study examines the burden of MS from 1990 to 2019, providing a detailed analysis by age, sex, and sociodemographic index (SDI) across 204 countries and territories.…”
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  4. 84
    Table_4_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC

    Table_4_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC by Saeid Safiri (3713035)

    Published 2024
    “…This study examines the burden of MS from 1990 to 2019, providing a detailed analysis by age, sex, and sociodemographic index (SDI) across 204 countries and territories.…”
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  5. 85
    Table_2_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC

    Table_2_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC by Saeid Safiri (3713035)

    Published 2024
    “…This study examines the burden of MS from 1990 to 2019, providing a detailed analysis by age, sex, and sociodemographic index (SDI) across 204 countries and territories.…”
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  6. 86
    Data_Sheet_13_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF

    Data_Sheet_13_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF by Saeid Safiri (3713035)

    Published 2024
    “…This study examines the burden of MS from 1990 to 2019, providing a detailed analysis by age, sex, and sociodemographic index (SDI) across 204 countries and territories.…”
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  7. 87
    Table_3_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC

    Table_3_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC by Saeid Safiri (3713035)

    Published 2024
    “…This study examines the burden of MS from 1990 to 2019, providing a detailed analysis by age, sex, and sociodemographic index (SDI) across 204 countries and territories.…”
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  8. 88
    Table 1_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx

    Table 1_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

    Published 2025
    “…Younger age was associated with insomnia (OR = 0.49, p = 0.018). Female sex was significantly associated with a greater likelihood of lack of energy (OR = 2.55, p = 0.048). …”
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  9. 89
    Data Sheet 1_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx

    Data Sheet 1_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

    Published 2025
    “…Younger age was associated with insomnia (OR = 0.49, p = 0.018). Female sex was significantly associated with a greater likelihood of lack of energy (OR = 2.55, p = 0.048). …”
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  10. 90
    Table 3_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx

    Table 3_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

    Published 2025
    “…Younger age was associated with insomnia (OR = 0.49, p = 0.018). Female sex was significantly associated with a greater likelihood of lack of energy (OR = 2.55, p = 0.048). …”
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  11. 91
    Data Sheet 2_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx

    Data Sheet 2_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

    Published 2025
    “…Younger age was associated with insomnia (OR = 0.49, p = 0.018). Female sex was significantly associated with a greater likelihood of lack of energy (OR = 2.55, p = 0.048). …”
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  12. 92
    Data Sheet 3_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.pdf

    Data Sheet 3_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.pdf by Vita Perestiuk (22290208)

    Published 2025
    “…Younger age was associated with insomnia (OR = 0.49, p = 0.018). Female sex was significantly associated with a greater likelihood of lack of energy (OR = 2.55, p = 0.048). …”
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  13. 93
    Table 2_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx

    Table 2_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

    Published 2025
    “…Younger age was associated with insomnia (OR = 0.49, p = 0.018). Female sex was significantly associated with a greater likelihood of lack of energy (OR = 2.55, p = 0.048). …”
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  14. 94
    Data Sheet 4_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx

    Data Sheet 4_Prevalence and duration of clinical symptoms of pediatric long COVID: findings from a one-year prospective study.docx by Vita Perestiuk (22290208)

    Published 2025
    “…Younger age was associated with insomnia (OR = 0.49, p = 0.018). Female sex was significantly associated with a greater likelihood of lack of energy (OR = 2.55, p = 0.048). …”
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  15. 95
    Table 6_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx

    Table 6_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
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  16. 96
    Table 2_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx

    Table 2_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
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  17. 97
    Table 1_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx

    Table 1_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
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  18. 98
    Table 3_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx

    Table 3_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
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  19. 99
    Image 1_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.pdf

    Image 1_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.pdf by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
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  20. 100
    Table 5_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx

    Table 5_How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.docx by Qian Bai (605328)

    Published 2025
    “…From the efficiency decomposition, this reduction was mainly caused by the decreasing of scale efficiency. Besides, substantial geographic variations were observed, with the eastern region exhibiting greater levels of technical and pure technical efficiency. …”
    Save to List
    Saved in:

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