Table 1_The epidemiological trends of multiple sclerosis among women of child-bearing age:

48% rise in incidence and 66% increase in prevalence of multiple sclerosis among women aged 15-49 globally between 1990 and 2021, based on Global Burden of Disease data. The dataset, authored by Zhuo-lei Cai and last updated in 2026, includes age-standardized rates for incidence, prevalence, mortality, and disability-adjusted life years across 204 countries, with projections to 2040.

Use Cases

• Forecasting future disease burden based on Bayesian Age-Period-Cohort and ARIMA modeling projections to 2040
• Analyzing regional disparities in disease control efficiency based on Socio-demographic Index (SDI) stratification
• Identifying critical age-specific intervention windows based on age-period-cohort effect analysis
• Comparing temporal trends in incidence, prevalence, and mortality using annual percentage change calculations

Strengths

• Data spans 204 countries and 31 years (1990-2021), providing broad geographic and temporal coverage
• Includes multiple standardized metrics: age-standardized incidence, prevalence, mortality, and disability-adjusted life years rates
• Employs multiple analytical methods including decomposition, frontier analysis, and joinpoint regression

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is small (139.2 KB), suggesting limited scope or highly aggregated data

Provenance

Source

Global Burden of Disease (GBD) 2021 data

Collection Method

Analysis of GBD data using Pearson correlation, decomposition analysis, frontier analysis, Bayesian Age-Period-Cohort modeling, ARIMA, and joinpoint regression

Time Range

1990 to 2021, with forecasts to 2040

Freshness

Last updated 2026-05-01 04:17:50; freshness should be verified

Geography

204 countries globally