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Disease Attribution to Multiple Exposures Using Aggregate Data
Wen-Chung Lee1,2, Yun-Chun Wu1
1Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University.
Background:
Identifying which exposures cause disease and quantifying their impacts is essential in promoting and monitoring public health. When multiple exposures are involved, measuring individual contributions becomes challenging.
Methods:
The authors propose a disease attribution method based on aggregate data or summary statistics of individual-level data, possibly from multiple data sources.
Results:
Using the proposed method, the burden of disease is apportioned to the independent and interaction effects of each of its major risk factors and all the other factors as a whole. This scheme guarantees that 100% is the total share of the burden.
Conclusion:
The calculation is simple and straightforward; therefore, it is recommended for use in studies on disease burden.
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