Country-specific estimates of misclassification rates of computer-coded verbal autopsy algorithms

We present an inventory of VA misclassification rate estimates across two age groups, three CCVA algorithms and eight countries. These publicly available estimates enable the calibration of VA-only data from any country without needing access to CHAMPS data. More generally, these analyses reveal systematic algorithmic biases and highlight opportunities to refine future CCVA algorithms. As reliance on computer-coded and AI-driven approaches to COD determination grows, our integrated VA-calibration workflow, grounded in robust statistical frameworks and open-source software (misclassification matrix modeling, VA-calibration R package on GitHub and CRAN), offers a critical step towards improving the accuracy of mortality surveillance.