当前位置: X-MOL 学术Math. Biosci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Variant-specific interventions to slow down replacement and prevent outbreaks
Mathematical Biosciences ( IF 4.3 ) Pub Date : 2021-09-20 , DOI: 10.1016/j.mbs.2021.108703
Bushra Majeed 1 , Marco Tosato 1 , Jianhong Wu 1
Affiliation  

Emergency and establishment of variants of concern (VOC) impose significant challenges for the COVID-19 pandemic control specially when a large portion of the population has not been fully vaccinated. Here we develop a mathematical model and utilize this model to examine the impact of non pharmaceutical interventions, including the COVID-test (PCR, antigen and antibody test) and whole genome sequencing (WGS) test capacity and contact tracing and quarantine strength, on the VOC-induced epidemic wave. We point out the undesirable and unexpected effect of lukewarm tracing and quarantine that can potentially increase the VOC-cases at the outbreak peak time, and we demonstrate the significance of strain-specific interventions to either prevent a VOC-induced outbreak, or to mitigate the epidemic wave when this outbreak is unavoidable.



中文翻译:

针对变体的干预措施可减缓替换并防止爆发

紧急情况和关注变种 (VOC) 的出现给 COVID-19 大流行的控制带来了重大挑战,特别是在大部分人口尚未完全接种疫苗的情况下。在这里,我们开发了一个数学模型,并利用该模型来检查非药物干预措施对新冠病毒检测(PCR、抗原和抗体检测)和全基因组测序(WGS)检测能力以及接触者追踪和检疫强度的影响。 VOC引发的流行浪潮。我们指出了不冷不热的追踪和隔离带来的不良和意想不到的影响,可能会增加爆发高峰期的挥发性有机化合物病例,并且我们证明了针对菌株的干预措施对于预防挥发性有机化合物引起的爆发或减轻挥发性有机化合物病例的重要性。当这次疫情不可避免时,流行病浪潮就会爆发。

更新日期:2021-11-16
down
wechat
bug