Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions.

ABSTRACT: Disease surveillance systems provide early warnings of disease outbreaks before they become public health emergencies. However, pandemics containment would be challenging due to the complex immunity landscape created by multiple variants. Genomic surveillance is critical for detecting novel variants with diverse characteristics and importation/emergence times. Yet, a systematic study incorporating genomic monitoring, situation assessment, and intervention strategies is lacking in the literature. We formulate an integrated computational modeling framework to study a realistic course of action based on sequencing, analysis, and response. We study the effects of the second variant's importation time, its infectiousness advantage and, its cross-infection on the novel variant's detection time,

SUBMITTER: Espinoza B 

PROVIDER: S-EPMC10691339 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature