Lead attributable DALYs per 100,000 capita data from the World Health Organization's Global Health Observatory. This dataset quantifies the health burden, measured in Disability-Adjusted Life Years, attributable to lead exposure across global populations. The WHO compiles these estimates to track environmental health impacts.
Use Cases
- Rank countries by DALYs_per_100k to identify regions with the highest health burden from lead exposure.
- Correlate lead-attributable DALYs with economic or industrial development indicators using country-level data.
- Model temporal trends in burden estimates to assess the impact of public health policies over time.
- Analyze the distribution of burden by age or sex groups if such demographic breakdowns are provided in the data.
Strengths
- Data originates from the authoritative World Health Organization, ensuring methodological rigor.
- Provides a standardized, comparable metric (DALYs) for assessing health burden across different populations.
Limitations
- Specific data volume, such as row count for countries or years, is unknown.
- Underlying estimation models for DALYs may introduce uncertainty not visible in the aggregated results.
Provenance
- Source
- World Health Organization (WHO) Global Health Observatory
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- Global, likely with country-level breakdowns