analyzing data quality

Why is Data Quality Important?

High-quality data are essential because they:
- Enable accurate estimation of disease prevalence and incidence.
- Support the identification of risk factors and protective factors.
- Inform the evaluation of public health interventions.
- Facilitate evidence-based policy-making.
Poor data quality can lead to incorrect conclusions, misallocated resources, and ineffective or harmful public health interventions.

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