Chen Mengsha, Yang Mengya, Yan Rui, Liu Zhengwei, Chen Can, Qu Rongrong, Zhou Wenkai, Qi Jiaxing, Cao Kexin, Miao Jiani, Wu Xiaoyue, Chen Jiaxin, Feng Qianqian, Zhang HuiHui, Dai Anqi, Yang Yi, Zhou Jingtong, Chen Qin, Sun Jimin, Yang Shigui
Department of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Quzhou People's Hospital, No.100 of Minjiang Street, Quzhou, 32400, Zhejiang, China.
BMC Public Health. 2025 Jul 15;25(1):2459. doi: 10.1186/s12889-025-23648-6.
Although Seasonal Influenza Vaccination (SIV) is a crucial preventive measure, achieving sufficient coverage to completely control influenza epidemics poses a significant challenge. This study aims to evaluate optimal strategies for SIV to prevent high-intensity level of influenza epidemics in Zhejiang Province, China. High-intensity outbreaks were defined as weekly incidence rates above 72.2 per 100,000.
This study estimated the incidence of influenza from 2018 to 2023 in Zhejiang Province, China, using influenza weekly surveillance data. We developed a Susceptible-Vaccinated-Infectious-Recovered-Susceptible (SVIRS) model to simulate influenza transmission and used a decision tree to assess seven vaccination strategies aimed at preventing high-intensity influenza outbreaks. These strategies differed in vaccine coverage across the three age groups: 0-14 years, 15-59 years, and 60 + years, despite having the same overall vaccination coverage.
Between 2018 and 2020, influenza incidence in Zhejiang Province followed typical seasonal patterns. However, during the COVID-19 pandemic, these patterns became irregular, culminating in a high-intensity influenza season in 2022-2023. Model simulations indicated that increasing population-wide vaccination coverage to 36.17% could effectively prevent outbreaks from escalating to high-intensity levels. Among various allocation strategies for additional vaccines, targeting individuals aged 0-14 years and those aged 60 years and older was found to be the most effective. This approach reduced the peak weekly incidence rate from the observed 182.83 to a predicted 42.28 per 100,000, saved 23.45 CNY per capita, and yielded a health gain of 0.0102 quality-adjusted life days (QALDs) per person.
Achieving a population-wide vaccination coverage beyond 36.17% is projected to prevent high-intensity level of influenza epidemics. Targeting the 0-14 years and 60 + years age groups proves to be the most cost-effective strategy under constrained coverage conditions. These findings highlight the importance of age-prioritized vaccination policies to optimize resource allocation and mitigate the impact of influenza outbreaks, particularly in regions with limited healthcare capacity.
尽管季节性流感疫苗接种(SIV)是一项关键的预防措施,但要实现足够的覆盖率以完全控制流感流行仍面临重大挑战。本研究旨在评估在中国浙江省预防高强度流感流行的SIV最佳策略。高强度疫情爆发定义为每周发病率超过十万分之72.2。
本研究利用流感每周监测数据估计了2018年至2023年中国浙江省的流感发病率。我们开发了一个易感-接种-感染-康复-易感(SVIRS)模型来模拟流感传播,并使用决策树评估旨在预防高强度流感爆发的七种疫苗接种策略。尽管总体疫苗接种覆盖率相同,但这些策略在三个年龄组(0-14岁、15-59岁和60岁及以上)的疫苗覆盖率上有所不同。
2018年至2020年期间,浙江省的流感发病率呈现典型的季节性模式。然而,在新冠疫情期间,这些模式变得不规则,在2022-2023年达到了高强度流感季节。模型模拟表明,将全人群疫苗接种覆盖率提高到36.17%可以有效防止疫情升级到高强度水平。在各种额外疫苗的分配策略中,针对0-14岁和60岁及以上人群被发现是最有效的。这种方法将每周发病率峰值从观察到的十万分之182.83降低到预测的十万分之42.28,人均节省23.45元人民币,并使每人获得0.0102个质量调整生命年(QALD)的健康收益。
预计实现超过36.17%的全人群疫苗接种覆盖率可预防高强度流感流行。在覆盖率受限的情况下,针对0-14岁和60岁及以上年龄组被证明是最具成本效益的策略。这些发现凸显了按年龄优先接种疫苗政策对于优化资源分配和减轻流感爆发影响的重要性,特别是在医疗能力有限的地区。