Trends and projections of hepatitis E incidence in Jiangsu Province of eastern China from 2007 to 2021: An analysis based on age-period-cohort models [0.03%]
基于年龄-时期-队列模型的中国东部江苏省2007至2021年戊型肝炎发病趋势及预测分析
Xiaoqing Cheng,Zehui Zhang,Weili Kang et al.
Xiaoqing Cheng et al.
Objective: This study aims to evaluate Hepatitis E incidence trends by age, period, and birth cohort in Jiangsu Province from 2007 to 2021 and project the future trends. ...
Modeling the impact of hospitalization-induced behavioral changes on the spread of COVID-19 in New York City [0.03%]
建立住院引起的行为变化对纽约市COVID-19传播影响的模型
Alice Oveson,Michelle Girvan,Abba B Gumel
Alice Oveson
The COVID-19 pandemic, caused by SARS-CoV-2, highlighted heterogeneities in human behavior and attitudes of individuals with respect to adherence or lack thereof to public health-mandated intervention and mitigation measures. This study is ...
Modelling the potential impact of TB-funded prevention programs on the transmission dynamics of TB [0.03%]
结核病防治资金资助的预防项目对结核病传播动力学潜在影响的模型分析
V M Mbalilo,F Nyabadza,S P Gatyeni
V M Mbalilo
Tuberculosis (TB) continues to be a major global health challenge, with millions of new cases and deaths each year despite the massive efforts and funding put in the fight against the disease. In this paper, we develop a mathematical model ...
Modelling and investigating memory immune responses in infectious disease. Application to influenza a virus and sars-cov-2 reinfections [0.03%]
建模和研究传染病的免疫记忆反应。应用于流感病毒和新冠病毒再感染
Mathilde Massard,Bruno Saussereau,Catherine Chirouze et al.
Mathilde Massard et al.
Understanding effector and memory immune responses against influenza A virus (IAV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and re-infections is extremely important, given that they are now endemic in the ...
Gradient boosting: A computationally efficient alternative to Markov chain Monte Carlo sampling for fitting large Bayesian spatio-temporal binomial regression models [0.03%]
高效的大规模贝叶斯时空二项回归模型的梯度提升拟合方法：马尔可夫链蒙特卡罗抽样替代方案
Rongjie Huang,Christopher McMahan,Brian Herrin et al.
Rongjie Huang et al.
Disease forecasting and surveillance often involve fitting models to a tremendous volume of historical testing data collected over space and time. Bayesian spatio-temporal regression models fit with Markov chain Monte Carlo (MCMC) methods a...
A tentative exploration for the association between influenza virus infection and SARS-CoV-2 infection in Shihezi, China: A test-negative study [0.03%]
一项关于流感病毒与新型冠状病毒感染相关性的试探性研究——基于石河子市的病例对照研究
Songsong Xie,Yinxia Su,Yanji Zhao et al.
Songsong Xie et al.
The outbreak of respiratory diseases, such as COVID-19 and influenza, has drawn global attention. However, it remains unclear whether the risk of influenza A infection may be affected by the history of SARS-CoV-2 infection. In this study, w...
O Y Oludoun,O Abiodun,B Gbadamosi et al.
O Y Oludoun et al.
Hepatitis B virus (HBV) remains a persistent global health concern, with recent research advancing our understanding of its transmission dynamics and potential interventions.The present study proposes a mathematical model of Hepatitis B Vir...
Stage specific immune responses to schistosomes may explain conflicting results in malaria-schistosome coinfection studies [0.03%]
不同阶段的免疫反应可能解释了疟疾与血吸虫病共感染研究中的矛盾结果
Sarah Rollason,Eleanor Riley,Joanne Lello
Sarah Rollason
Malaria and schistosomiasis are two of the most clinically important human parasitic diseases in terms of morbidity and mortality, collectively causing approximately 800,000 deaths annually. Coinfection with their causative parasites, Plasm...
Estimating the effect of contact tracing during the early stage of an epidemic [0.03%]
估计传染病爆发初期接触者追踪的影响
Manting Wang,Junling Ma,P van den Driessche et al.
Manting Wang et al.
Contact tracing is an important public health measure to control disease transmission. However, it is difficult to assess contact tracing during the exponential stage of an epidemic with multiple control measures, because the exponential gr...
Evaluating the impact of the Modifiable Areal Unit Problem on ecological model inference: A case study of COVID-19 data in Queensland, Australia [0.03%]
可调单元问题对生态模型推理的影响评估：以澳大利亚昆士兰州COVID-19数据为例的研究
Shovanur Haque,Aiden Price,Kerrie Mengersen et al.
Shovanur Haque et al.
Accurate identification of spatial patterns and risk factors of disease occurrence is crucial for public health interventions. However, the Modifiable Areal Unit Problem (MAUP) poses challenges in disease modelling by impacting the reliabil...