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在疫苗接种的情况下减轻季节性流感和 COVID-19 大流行的共同传播:一种数学建模方法。

Mitigating co-circulation of seasonal influenza and COVID-19 pandemic in the presence of vaccination: A mathematical modeling approach.

机构信息

Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, ON, Canada.

Centre for Disease Modeling, Department of Mathematics and Statistics, York University, Toronto, ON, Canada.

出版信息

Front Public Health. 2023 Jan 4;10:1086849. doi: 10.3389/fpubh.2022.1086849. eCollection 2022.

Abstract

The co-circulation of two respiratory infections with similar symptoms in a population can significantly overburden a healthcare system by slowing the testing and treatment. The persistent emergence of contagious variants of SARS-CoV-2, along with imperfect vaccines and their waning protections, have increased the likelihood of new COVID-19 outbreaks taking place during a typical flu season. Here, we developed a mathematical model for the co-circulation dynamics of COVID-19 and influenza, under different scenarios of influenza vaccine coverage, COVID-19 vaccine booster coverage and efficacy, and testing capacity. We investigated the required minimal and optimal coverage of COVID-19 booster (third) and fourth doses, in conjunction with the influenza vaccine, to avoid the coincidence of infection peaks for both diseases in a single season. We show that the testing delay brought on by the high number of influenza cases impacts the dynamics of influenza and COVID-19 transmission. The earlier the peak of the flu season and the greater the number of infections with flu-like symptoms, the greater the risk of flu transmission, which slows down COVID-19 testing, resulting in the delay of complete isolation of patients with COVID-19 who have not been isolated before the clinical presentation of symptoms and have been continuing their normal daily activities. Furthermore, our simulations stress the importance of vaccine uptake for preventing infection, severe illness, and hospitalization at the individual level and for disease outbreak control at the population level to avoid putting strain on already weak and overwhelmed healthcare systems. As such, ensuring optimal vaccine coverage for COVID-19 and influenza to reduce the burden of these infections is paramount. We showed that by keeping the influenza vaccine coverage about 35% and increasing the coverage of booster or fourth dose of COVID-19 not only reduces the infections with COVID-19 but also can delay its peak time. If the influenza vaccine coverage is increased to 55%, unexpectedly, it increases the peak size of influenza infections slightly, while it reduces the peak size of COVID-19 as well as significantly delays the peaks of both of these diseases. Mask-wearing coupled with a moderate increase in the vaccine uptake may mitigate COVID-19 and prevent an influenza outbreak.

摘要

两种具有相似症状的呼吸道传染病在人群中的共同传播会使医疗系统的检测和治疗速度明显放缓,从而给医疗系统带来巨大负担。SARS-CoV-2 的传染性变异株持续出现,加上不完善的疫苗及其保护作用逐渐减弱,增加了在典型流感季节发生新的 COVID-19 疫情的可能性。在这里,我们开发了一个用于 COVID-19 和流感共同传播动力学的数学模型,考虑了不同的流感疫苗接种率、COVID-19 疫苗加强针接种率和效果以及检测能力的情景。我们研究了 COVID-19 加强针(第三针和第四针)与流感疫苗联合使用时,避免两种疾病在一个季节内感染高峰同时出现所需的最小和最佳接种覆盖率。我们表明,大量流感病例导致的检测延迟会影响流感和 COVID-19 的传播动力学。流感季节开始越早,出现流感样症状的感染人数越多,流感传播的风险就越大,这会减缓 COVID-19 的检测,导致在 COVID-19 患者出现症状前没有进行完全隔离并继续日常活动的患者的检测延迟。此外,我们的模拟结果强调了疫苗接种在个人层面预防感染、重症和住院以及在人群层面控制疾病爆发以避免给已经脆弱和不堪重负的医疗系统带来压力的重要性。因此,为了减轻这些感染的负担,确保 COVID-19 和流感的最佳疫苗接种覆盖率至关重要。我们表明,通过保持流感疫苗接种率约为 35%,并增加 COVID-19 加强针或第四针的接种覆盖率,不仅可以减少 COVID-19 的感染,还可以延迟其峰值时间。如果将流感疫苗接种率提高到 55%,出人意料的是,它会略微增加流感感染的峰值大小,同时也会减少 COVID-19 的峰值大小,并显著延迟这两种疾病的峰值。佩戴口罩并适度增加疫苗接种率可能会减轻 COVID-19 的影响并防止流感爆发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c22/9845909/195d4392e012/fpubh-10-1086849-g0001.jpg

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