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Flattening the Curve with Kafka

Responding to a global pandemic presents a unique set of technical and public health challenges. The real challenge is the ability to gather data coming in via many data streams in variety of formats influences the real-world outcome and impacts everyone. The Centers for Disease Control and Prevention CELR (COVID Electronic Lab Reporting) program was established to rapidly aggregate, validate, transform, and distribute laboratory testing data submitted by public health departments and other partners. Confluent Kafka with KStreams and Connect play a critical role in program objectives to:
• Track the threat of COVID-19 virus
• Provide comprehensive data for local, state, and federal response
• Better understand locations with an increase in incidence


Rishi Tarar