Various global health estimates, including cause-specific mortality rates, have acquired prominence in recent years.1 Different sources use varying approaches, and competition may be healthy, possibly leading to a grand convergence in understanding.2 However, particularly in low-income and middle-income countries (LMICs), estimates frequently rely on minimal available data, which means that external validity is hard to demonstrate. Explicit connections between grass roots data and large-scale modelling are not always clear.
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Peter Byass (2016) studied this question.
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