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Data triangulation

In today's data-driven world, the utilization of diverse data sources and methodologies has become increasingly essential to extract accurate insights. This session aims to explore the power of data triangulation as a valuable approach for corroborating findings, minimizing bias, and obtaining a comprehensive understanding of information collected through various programs. Data triangulation involves combining data from different times, spaces, and people to paint a more complete picture of health-related phenomena. By integrating multiple data sources such as immunization records, disease surveillance reports, logistics data, and more, researchers and practitioners can gain a deeper understanding of complex health challenges. By embracing a multidimensional approach to data collection encompassing immunization, surveillance, infectious diseases, and vector control, attendees will explore practical examples of data triangulation in action, showcasing how this approach has been successfully employed to address critical health challenges.