Verbal Autopsy in Civil Registration and Vital Statistics: The Symptom-Cause Information Archive

Authors: Samuel J. Clark, Martin W. Bratschi, Philip Setel, Carla Abouzahr, Don de Savigny, Zehang Li, Tyler McCormick, Peter Byass, Daniel Chandramohan

arXiv admin note: text overlap with arXiv:1802.07807

Abstract: The burden of disease is fundamental to understanding, prioritizing, and monitoring public health interventions. Cause of death is required to calculate the burden of disease, but in many parts of the developing world deaths are neither detected nor given a cause. Verbal autopsy is a feasible way of assigning a cause to a death based on an interview with those who cared for the person who died. As civil registration and vital statistics systems improve in the developing world, verbal autopsy is playing and increasingly important role in providing information about cause of death and the burden of disease. This note motivates the creation of a global symptom-cause archive containing reference deaths with both a verbal autopsy and a cause assigned through an independent mechanism. This archive could provide training and validation data for refining, developing, and testing machine-based algorithms to automate cause assignment from verbal autopsy data. This, in turn, would improve the comparability of machine-assigned causes and provide a means to fine-tune individual cause assignment within specific contexts.

Submitted to arXiv on 01 Oct. 2019

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