Several factors can influence the accuracy of epidemiological data:
Data Collection Methods: The techniques and tools used to collect data significantly affect its accuracy. Surveys, medical records, and laboratory tests must be meticulously designed and executed. Sample Size and Representativeness: A small or non-representative sample can skew results. Ensuring that the sample accurately reflects the population is essential for valid conclusions. Reporting Bias: Inaccuracies can arise from selective reporting of data or underreporting of cases, often influenced by social stigma or lack of awareness. Data Entry Errors: Mistakes during data entry, transcription, or digitization can significantly reduce accuracy. Rigorous quality checks are necessary to minimize these errors.
