Accurate and clean data is vital for epidemiological research because it directly impacts the quality of analysis and the conclusions drawn from it. Inaccurate data can lead to erroneous findings, which in turn can affect public health policies and interventions. Data cleansing helps in minimizing bias, reducing confounding variables, and improving the overall quality of the research.
