Network Coding for Scalable Genomic Data Transmission in Public Health Crises

Quick genomic data transfer acts as an essential tool that public health teams need during emergencies like the COVID-19 outbreak. Network coding stands as a technology evaluated for improving large-scale genomic data transmissions in distributed networks. The experimental results show that network coding leads to substantial improvement of transmission throughput through reduces times by 47.2% relative to other standard approaches. Network coding technology displays superior error resilience capability because it recovers 92.3% of data at 10% error rate when compared to normal transmission methods which recover only 65.4%. The introduction of slight computational workloads provides high data integrity protection by maintaining reconstruction accuracy above 98.4% and achieving complete integrity for both small and large datasets. The utilization rate of networks can reach 89.5% across multiple server environments. The study demonstrates how network coding technology optimizes genetic data sharing processes by delivering quicker and more resilient and expandable information distribution for genomic research along with public health intervention programs.