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Analyzing and interpreting data for disease surveillance is a core component of pandemic preparedness and response. Disease surveillance involves the systematic collection, analysis, and interpretation of health-related data to detect outbreaks early, monitor disease trends, and guide public health interventions. The quality and timeliness of data analysis directly influence the speed and accuracy of the public health response. The process begins with collecting data from multiple sources such as hospitals, laboratories, community health centers, and digital platforms. These data typically include information on ___ __________ ___ ______ ______ ______.
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