用于估计人群中病原体负荷的基因组流行病学
Genomic Epidemiology for Estimating Pathogen Burden in a Population.
作者信息
Porter W Tanner, Engelthaler David M, Hepp Crystal M
出版信息
Emerg Infect Dis. 2025 May;31(13):22-24. doi: 10.3201/eid3113.241203.
Abstract
The role of genomics in outbreak response and pathogen surveillance has expanded and ushered in the age of pathogen intelligence. Genomic surveillance enables detection and monitoring of novel pathogens; case clusters; and markers of virulence, antimicrobial resistance, and immune escape. We can leverage pathogen genomic diversity to estimate total pathogen burden in populations and environments, which was previously challenging because of unreliable data. Pathogen genomics might allow pathogen burdens to be estimated by sequencing even a small percentage of cases. Deeper genomic epidemiology analyses require multidisciplinary collaboration to ensure accurate and actionable real-time pathogen intelligence.
摘要
基因组学在疫情应对和病原体监测中的作用不断扩大，开启了病原体情报时代。基因组监测能够检测和监测新型病原体、病例聚集情况以及毒力、抗菌药物耐药性和免疫逃逸的标志物。我们可以利用病原体基因组多样性来估计人群和环境中的病原体总负担，由于数据不可靠，此前这一工作颇具挑战性。病原体基因组学或许能够通过对哪怕一小部分病例进行测序来估计病原体负担。更深入的基因组流行病学分析需要多学科协作，以确保获得准确且可付诸行动的实时病原体情报。
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