Associations between Legionellosis and meteorological variables in Ohio, 2001-2023 [0.03%]
俄亥俄州2001-2023年军团病与气象因素的关联研究
Joni Downs,Hansamali Abeysinghe Mudiyanselage,Jaryd Hinch et al.
Joni Downs et al.
Legionellosis, a respiratory disease caused by Legionella bacteria, has increased in incidence across the United States, yet the environmental factors influencing its rise remain unclear. We examined monthly Legionellosis case counts from 2...
Symptom-based diagnostic models for common respiratory viral infections: a machine learning and natural language processing study [0.03%]
基于症状的常见呼吸道病毒感染诊断模型：一种机器学习和自然语言处理研究
Mingqing Xie,Suyi Zhang,Jianyong Shen et al.
Mingqing Xie et al.
Aim: This study aimed to develop an efficient and cost-saving diagnostic approach using natural language processing and explainable machine learning models. ...
Corrigendum to "Early prediction of the outbreak risk of dengue fever in Ba Ria-Vung Tau province, Vietnam: An analysis based on Google trends and statistical models" [Infectious Disease Modelling 10, (3), (September 2025), Pages 743-757] [0.03%]
关于“基于Google趋势和统计模型的越南巴地头顿省登革热疫情早期预测”的勘误( Infectious Disease Modelling 10, (3), (2025年9月),Pages 743-757)
Dang Anh Tuan,Pham Vu Nhat Uyen
Dang Anh Tuan
[This corrects the article DOI: 10.1016/j.idm.2025.03.001.]. © 2026 The Authors.
Published Erratum
Infectious Disease Modelling. 2026 Apr 27;11(4):1269. DOI:10.1016/j.idm.2026.04.012 2026
Rek-Surv: A lightweight deep survival model for plant infectious disease onset prediction [0.03%]
基于深度生存模型的植物病害发病期预测方法
Jinggui Xiao,Shan Hu,Xiaoling Deng et al.
Jinggui Xiao et al.
Infectious disease outbreaks in crop systems pose a significant threat to global food security, particularly when early detection and intervention opportunities are missed. Predicting not just whether but when an infection will emerge is cr...
Outfitting the quest for spatial spread of infections: A review of mobility datasets for population health modelling [0.03%]
传染病时空传播研究中的流行病数据集综述
Nodira Tillayeva,Naoki Tamura,Kenta Urano et al.
Nodira Tillayeva et al.
Understanding the spatial dynamics of infectious disease spread is essential for modeling population health. A key component in such modeling is human mobility data, which informs how infections propagate across time and space. This review ...
Global, regional, and national economic value of reducing amenable tuberculosis mortality [0.03%]
减少可预防的结核病死亡的全球、区域和国家经济价值
Yueting Liu,Ni Zhu,Mingwang Shen
Yueting Liu
Background: Progress in reducing Tuberculosis (TB) mortality falls short of one-third of the End TB Strategy target, partly due to a high proportion of amenable deaths, most of which occur among individuals aged 15-64 yea...
Retrospective evaluation of trained and untrained probabilistic ensemble forecasts for influenza hospital admissions - United States, 2022-2025 [0.03%]
美国2022-2025年经训练和未经训练的概率集合预报的回顾性评估：流感住院人次
Aaron M Frutos,Annabella Hines,Li Shandross et al.
Aaron M Frutos et al.
The United States Centers for Disease Control and Prevention (CDC) coordinates influenza forecasting efforts with approximately 30 academic and industry teams and combines their short-term, weekly forecasts into an ensemble forecast to impr...
Dmitry Tsadikovich
Dmitry Tsadikovich
Non-immunizing infectious diseases cannot be eradicated and therefore generate persistent health and intervention costs over time. Steering such diseases toward a stable endemic equilibrium is a natural long-run policy objective. This paper...
Dynamic properties of an SARS-CoV-2 epidemic model via stochastic PINNs [0.03%]
基于随机PINNs的新型冠状病毒传播模型的动力学性质研究
Linfeng Xie,Jikai Yang,Zhiming Li
Linfeng Xie
This paper introduces a novel stochastic SEIRV model for investigating the spread of the SARS-CoV-2 epidemic using stochastic physics-informed neural networks (S-PINNs). We first prove the global positivity of solutions via Lyapunov functio...
Dynamic modelling and analysis of human brucellosis on age heterogeneity in Jinzhou, China [0.03%]
中国锦州布鲁氏菌病的动态模型及其年龄异质性分析
Shasha Chen,Fengying Wei,Xinyan Zhang et al.
Shasha Chen et al.
Since brucellosis causes harms and losses to sheep and human populations in the cities of Northern and Northwest China, we establish a cross-species brucellosis model with age-structure and bilinear incidences to characterize brucellosis tr...