Maternal Sepsis and Infection Burden and Causal Factors, 1990-2021

1990 to 2021 data from the Global Burden of Disease 2021 study on maternal sepsis and other maternal infections (MSMI). It includes temporal trend analysis and projections, plus multivariable Mendelian randomization results for causal factors. The dataset was authored by Anqi Jiang and last updated in May 2026.

Use Cases

• Analyzing global and regional trends in maternal sepsis and infection burden based on GBD 2021 data.
• Forecasting future disease patterns using ARIMA and Bayesian age-period-cohort models.
• Investigating causal relationships between inflammatory biomarkers and MSMI risk via multivariable Mendelian randomization.

Strengths

• Data spans a 31-year time range from 1990 to 2021.
• Integrates population-level burden analysis with causal inference from genetic data.
• Includes projections from two distinct modeling approaches (ARIMA and BAPC).

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 very small at 9.5 KB, indicating limited scope.

Provenance

Source

Global Burden of Disease (GBD) 2021 study.

Collection Method

Temporal trend analysis, forecasting models, and two-sample multivariable Mendelian randomization.

Time Range

1990 to 2021, with future projections.

Freshness

Last updated 2026-05-27 17:51:34; freshness should be verified.

Geography

Global, with analysis by Socio-demographic Index (SDI) regions.