Yan Wang,Huan Ma,Qian Yan et al.
Yan Wang et al.
Recognized globally as a major public health concern in the tropics and subtropics, Chikungunya fever also poses a potential epidemic risk in areas of China such as Guangdong Province, where suitable mosquito vector habitats exist. Based on...
Urbanization influences hemorrhagic fever with renal syndrome transmission: 34-year evidence from China's national surveillance [0.03%]
城市化影响肾综合征出血热传播：中国国家级监测的34年证据
Junyu He,Yanding Wang,Xiaopeng Xu et al.
Junyu He et al.
Background: Mainland China accounts for over 90 % of the global hemorrhagic fever with renal syndrome (HFRS) cases, yet quantitative relationships between climate, urbanization and transmission dynamics remain poorly unde...
Modeling the seasonal and climate-dependent dynamics of visceral leishmaniasis in Brazil: Implications for transmission and Control [0.03%]
考虑巴西 visceral leishmaniasis 传染和控制的季节性和气候依赖性动力学模型
Quinn H Adams,Davidson H Hamer,Lucy R Hutyra et al.
Quinn H Adams et al.
Background: Visceral leishmaniasis (VL) is a parasitic, zoonotic neglected tropical disease that remains a persistent public health challenge in endemic regions of Brazil, including the state of Maranhão. Transmission dy...
Dynamic analysis of syphilis model with the saturated incidence and early latent stage [0.03%]
具有饱和发病率和早期潜伏期的梅毒模型的动力学分析
Anli Yao,Fengying Wei,Jianfeng Xie
Anli Yao
Syphilis is a blood-borne disease with multiple hidden-transmission stages caused by Treponema pallidum, and most infected individuals are asymptomatic as reported by the World Health Organization. This study establishes a Susceptible-Expos...
Impact of age-structured migration on malaria burden: A modelling-empirical analysis in sub-Saharan Africa [0.03%]
分年龄结构迁移对疟疾疾病负担的影响——非洲撒哈拉以南国家模型与实证分析
Harikripal,S Pascal Zabre,Ina Danquah et al.
Harikripal et al.
Malaria transmission in Sub-Saharan Africa is strongly influenced by seasonal climatic variations and human mobility, particularly occupation-driven rural-to-urban migration. These dynamics contribute to persistent endemicity and periodic o...
Dynamical analysis of the SVEIR-M epidemic model with age structure under media coverage [0.03%]
媒体关注度下的SVEIR-M年龄结构传染病动力学分析
Jianrong Wang,Xue Yan,Xinghua Chang et al.
Jianrong Wang et al.
With the frequent emergence and spread of new infectious diseases, poses severe threats to public health, and the government often relies on non-pharmaceutical interventions to cope. Meanwhile, the impact of media information on public beha...
Comparing frequentist and Bayesian methods to identify drivers of pathogen strain invasion: A temporal case study of pertussis in the United States [0.03%]
基于美国百日咳的案例研究比较频率学方法和贝叶斯方法识别病原体菌株入侵驱动因素的能力
Florian Lecorvaisier,Dominique Pontier,Frank Sauvage et al.
Florian Lecorvaisier et al.
Since the 20th century, it has been widely recognized that the emergence of new pathogens is closely linked to human activities such as global travel and environmental exploitation. In addition, the widespread use of antibiotics and vaccine...
FluAttn: Antigenicity prediction of influenza A/H3N2 through attention-based feature mining [0.03%]
基于注意力机制的流感A/H3N2抗原性预测特征挖掘算法
Li Geng,Jun He,Ping Liu
Li Geng
The rapid antigenic drift of influenza A/H3N2 compromises the durability of vaccine-induced protection, underscoring the need for accurate antigenic assessment to evaluate vaccine efficacy and guide vaccine updates. Although the hemagglutin...
Stochastic dynamics of Chikungunya virus infection model incorporating general incidence rate and immune responses [0.03%]
包含广义发病率和免疫反应的基孔肯雅病毒感染模型的随机动力学
Jingze Ma,Yan Wang
Jingze Ma
This study investigates a stochastic model of Chikungunya virus (CHIKV) infection that incorporates a general incidence rate along with B-cell and CTL immune responses. Stochasticity is modeled through a log-normal Ornstein-Uhlenbeck proces...
Dynamics and forecasting of an age-structured stochastic SIR model with Lévy perturbations via physics-informed neural networks [0.03%]
基于物理信息神经网络的带Lévy扰动的年龄结构随机SIR模型的动力学及预测研究
Ge Zhang,Zhihao Wang,Zhiming Li et al.
Ge Zhang et al.
Understanding and predicting real-world epidemic dynamics has consistently posed a formidable challenge. This study addresses an age-structured stochastic SIR model incorporating a general incidence rate, high-order white noise, and Lévy j...