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Observational analysis highlights changing estimates of asthma and atopic dermatitis, suggesting caution in interpretation.
The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) releases regular updates of estimates on the prevalence and burden of hundreds of diseases and injuries. It is an important source of standardized health data for researchers and policy makers around the world. Input data are fed into a Bayesian mixed-effects meta-regression model that uses prior information and probability distributions to make a hierarchical cascade of estimates, from global to national levels. As new data are added, historical estimates can change. This is evidenced by contrasting trends and estimates of asthma and atopic dermatitis based on different GBD releases.
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Wang et al. (2025) studied this question.
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