Stage-aware deep learning with adversarial data synthesis enables prospective season-scale A/H1N1 influenza forecasting in China [0.03%]
基于对抗数据合成的阶段感知深度学习使中国A/H1N1流感季节规模的前瞻性预测成为可能
Lirong Zhang,Haocheng Zhou,Yuxin Zhu et al.
Lirong Zhang et al.
Accurate influenza forecasting is essential for public health preparedness, yet many models require future covariates, provide limited interpretability, and degrade under post-pandemic regime shifts. We propose a Stage-Aware Multimodal Neur...
Stage-aware deep learning with adversarial data synthesis enables prospective season-scale A/H1N1 influenza forecasting in China [0.03%]
基于对抗数据合成的阶段感知深度学习使中国A/H1N1流感季节规模的前瞻性预测成为可能
Lirong Zhang,Haocheng Zhou,Yuxin Zhu et al.
Lirong Zhang et al.
Accurate influenza forecasting is essential for public health preparedness, yet many models require future covariates, provide limited interpretability, and degrade under post-pandemic regime shifts. We propose a Stage-Aware Multimodal Neur...
Structural transition in antimicrobial resistance dynamics of Corynebacterium striatum [0.03%]
棒状杆菌抗菌药耐药性动力学的结构转变
Anna Lorencz,Bence Sajerli,Katalin Burián et al.
Anna Lorencz et al.
Background: Antimicrobial resistance (AMR) is typically interpreted as a process of gradual accumulation of resistance traits. However, resistance systems may instead undergo structural transitions under changing selectiv...
Optimal timing for staged vaccination campaigns: Insights from scenario tree-based stochastic optimization [0.03%]
基于场景树的随机优化在分期疫苗接种运动中的最佳时机分析
Farah Al Hashimi,Shengyuan Chen,Jianhong Wu
Farah Al Hashimi
We develop a mathematical modeling framework to address the challenge in launching an effective staged vaccination campaign during a typical viral infection season to avoid an overwhelmed healthcare system for the entire season. Using the C...
Stochastic threshold dynamics of an HIV model with latent cell activation under mean-reverting environmental noise [0.03%]
具有均值回复环境噪声的潜伏细胞激活的HIV模型的随机阈值动力学
Zhongwei Cao,Yuchen Jiang,Zhenfeng Shi et al.
Zhongwei Cao et al.
Motivated by the impact of environmental variability on within-host HIV dynamics, we develop a stochastic HIV model incorporating latent cell activation. Infection and activation rates are modeled as logarithmic mean-reverting Ornstein-Uhle...
From giant components to communities: community-level insights for prioritizing interventions within large clusters of HIV-1 transmission networks [0.03%]
从巨集组成部分到社区：HIV-1传播网络大型群组的社区级见解以优先处理干预措施
Huanchang Yan,Hao Wu,Jiahang Wang et al.
Huanchang Yan et al.
Large clusters in HIV-1 molecular networks contain a substantial proportion of people living with HIV and dominate local epidemics; however, their large size and complex structure pose a challenge for effective public health interventions. ...
Efficacy versus coverage: population-level impacts of vaccination schemes [0.03%]
效果与覆盖率：疫苗接种方案的群体影响
Lixin Lin,Lewi Stone
Lixin Lin
The effectiveness of vaccination campaigns depends on vaccine efficacy, vaccination coverage, and vaccine allocation. A fundamental yet often overlooked question is whether higher vaccine efficacy or higher coverage should be prioritised. H...
Comparing methods to estimate time-varying reproduction numbers using genomic and epidemiological data [0.03%]
基于基因组和流行病学数据估计时变再生数的方法比较
Elisha B Are,Siavash Riazi,Niloufar Saeidi Mobarakeh et al.
Elisha B Are et al.
Estimating the time-varying reproduction number R t during an epidemic is important. R t indicates whether an epidemic is growing or declining and can aid in assessing the impact of interventions. Recent advances have enhanced methods for...
Modeling and control of highly pathogenic avian influenza in poultry using network disease dynamics [0.03%]
利用网络疾病动力学模拟和控制家禽中高致病性禽流感
Hamed Karami,Sifur Safuka Chowdhury,Alexandra Smirnova
Hamed Karami
In light of the ongoing 2022-2025 HPAI outbreak in the U.S., which affects millions of commercial and backyard flocks, disrupts egg and meat production, and causes significant economic losses, it is important to develop biological models an...
When hosts gather: how extreme seasonal aggregation affects epidemiological outcomes [0.03%]
当宿主聚集时：极度季节性聚集如何影响流行病学结果
Daniel N R Longmuir,Simon Johnstone-Robertson,Andrew J Hoskins et al.
Daniel N R Longmuir et al.
Wildlife aggregate for many reasons (e.g. reproduction, feeding) and at times these aggregations can be extreme, with host densities increasing several orders of magnitude. While the impact of seasonality on infectious disease dynamics is w...