One of the primary challenges in epidemiology is data collection. Accurate and comprehensive data is essential for identifying disease patterns, yet several factors can complicate this process. Data may be incomplete, inconsistent, or biased due to differences in reporting standards, lack of resources, or political influences. Ensuring data quality and reliability is critical for effective epidemiological analysis.
