What Are the Consequences of Ignoring Data Quality?
Ignoring data quality can have severe consequences including:
Misguided Policies: Public health policies based on flawed data can be ineffective or harmful. Wasted Resources: Allocating resources based on inaccurate data can lead to inefficient use of funds and efforts. Loss of Trust: Poor data quality can erode public and professional trust in epidemiological research and public health initiatives.
