巴斯克地区COVID-19动态建模:2020年至2022年人口免疫特征

IF 3.4 3区 医学 Q2 INFECTIOUS DISEASES
Bechir Naffeti, Zeineb Ounissi, Akhil Kumar Srivastav, Nico Stollenwerk, Joseba Bidaurrazaga Van-Dierdonck, Maíra Aguiar
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引用次数: 0

摘要

背景:由SARS-CoV-2引起的COVID-19已在全球蔓延,对公共卫生构成重大挑战。疫苗接种在减少严重疾病和死亡方面发挥了关键作用。然而,由于疫苗接种后免疫力下降和免疫逃逸变异的出现,需要继续进行疫苗接种工作,包括加强剂量,以维持人群免疫力。本研究模拟了2019冠状病毒病在西班牙巴斯克地区的动态,旨在描述人口免疫状况,并评估其对2020年至2022年疫情严重程度的影响。方法:建立SIR/DS模型,分析病毒特异性免疫和疫苗诱导免疫的相互作用。该模型包括三个级别的免疫,再感染和/或接种疫苗具有增强作用。使用巴斯克地区的经验每日病例数据对其进行了验证。该模型追踪免疫状态的变化及其对疾病动态的影响。结果:巴斯克地区的COVID-19流行经历了三个不同的阶段,每个阶段都是由病毒传播、公共卫生干预和疫苗接种工作之间的动态相互作用形成的。最初阶段的特点是病例迅速激增,随后由于采取严格的公共卫生措施而下降,血清流行率为1.3%。在中期阶段,随着限制的放松和新变种(如Alpha和Delta)的出现,出现了多起较小的疫情。在此期间,再感染率达到20%,血清阳性率增加到32%。最后一个阶段,由欧米克隆变异主导,由于免疫力下降和变异的高传播性,病例显著增加。值得注意的是,这一阶段34%的感染发生在幼稚人群中,血清阳性率达到43%的峰值。在所有阶段,未接种疫苗和未接种疫苗的个人的感染大大加剧了疫情的严重程度,强调了疫苗接种在减轻疾病影响方面的关键作用。结论:研究结果强调了持续监测和适应性公共卫生战略对于缓解COVID-19不断变化的流行病学和免疫学格局的重要性。免疫水平、再感染和疫苗接种之间的动态相互作用对于形成疫情严重程度和指导循证干预措施至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling COVID-19 dynamics in the Basque Country: characterizing population immunity profile from 2020 to 2022.

Background: COVID-19, caused by SARS-CoV-2, has spread globally, presenting a significant public health challenge. Vaccination has played a critical role in reducing severe disease and deaths. However, the waning of immunity after vaccination and the emergence of immune-escape variants require the continuation of vaccination efforts, including booster doses, to maintain population immunity. This study models the dynamics of COVID-19 in the Basque Country, Spain, aiming to characterize the population's immunity profile and assess its impact on the severity of outbreaks from 2020 to 2022.

Methods: A SIR/DS model was developed to analyze the interplay of virus-specific and vaccine-induced immunity. The model includes three levels of immunity, with boosting effects from reinfection and/or vaccination. It was validated using empirical daily case data from the Basque Country. The model tracks shifts in immunity status and their effects on disease dynamics over time.

Results: The COVID-19 epidemic in the Basque Country progressed through three distinct phases, each shaped by dynamic interactions between virus transmission, public health interventions, and vaccination efforts. The initial phase was marked by a rapid surge in cases, followed by a decline due to strict public health measures, with a seroprevalence of 1.3 % . In the intermediate phase, multiple smaller outbreaks emerged as restrictions were relaxed and new variants, such as Alpha and Delta, appeared. During this period, reinfection rates reached 20 % , and seroprevalence increased to 32 % . The final phase, dominated by the Omicron variant, saw a significant rise in cases driven by waning immunity and the variant's high transmissibility. Notably, 34 % of infections during this phase occurred in the naive population, with seroprevalence peaking at 43 % . Across all phases, the infection of naive and unvaccinated individuals contributed significantly to the severity of outbreaks, emphasizing the critical role of vaccination in mitigating disease impact.

Conclusion: The findings underscore the importance of continuous monitoring and adaptive public health strategies to mitigate the evolving epidemiological and immunological landscape of COVID-19. Dynamic interactions between immunity levels, reinfections, and vaccinations are critical in shaping outbreak severity and guiding evidence-based interventions.

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来源期刊
BMC Infectious Diseases
BMC Infectious Diseases 医学-传染病学
CiteScore
6.50
自引率
0.00%
发文量
860
审稿时长
3.3 months
期刊介绍: BMC Infectious Diseases is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of infectious and sexually transmitted diseases in humans, as well as related molecular genetics, pathophysiology, and epidemiology.
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