Identifying memory mechanisms in Bayesian models of behavioural change during epidemics [0.03%]
贝叶斯行为流行病学模型中的记忆机制识别
Yicheng Mao,Rob Deardon,Lorna E Deeth
Yicheng Mao
Accurate modelling of epidemic dynamics often requires accounting for how individuals modify their behaviour in response to perceived infection risk. While existing behavioural change epidemic models attempt to capture this feedback, they u...
Mapping the landscape of individual-based models for respiratory pathogen transmission in the pandemic and post-pandemic era (2020-2024): A systematic review [0.03%]
绘制大流行及后大流行时代呼吸系统病原体传播的个体基于模型景观（2020-2024）：一项系统评价
Shreeya Mhade,Utkarsh Bhosekar,Megan D Hill et al.
Shreeya Mhade et al.
Individual-based models (IBMs) provide a mechanistic framework in which population-level outcomes emerge from interactions between individuals. We conducted a systematic review on IBMs for respiratory pathogens published in 2020-2024. We id...
A stochastic meta-population model of Ebola virus disease transmission for informing public health decisions [0.03%]
一个用于辅助公共卫生决策的埃博拉病毒疾病传播随机元群体模型
Thibaut Jombart,Sarah Kada,Debapriyo Chakraborty et al.
Thibaut Jombart et al.
Ebola virus disease (EVD) remains a constant international public health threat. Developing models that integrate the complex transmission dynamics of EVD is essential for informing evidence-based strategies for outbreak preparedness and re...
Modelling serological cross-reactivity to disentangle the dynamics of West Nile and Usutu viruses in an emerging area [0.03%]
模型模拟血清交叉反应性以区分新发地区西尼罗河病毒和Usutu病毒的动态关系
Jonathan Bastard,Camille Migné,Teheipuaura Helle et al.
Jonathan Bastard et al.
Zoos may serve as sentinel sites for zoonotic vector-borne diseases. West Nile virus (WNV) and Usutu virus (USUV) are closely related orthoflaviviruses transmitted between Culex mosquitoes and a bird reservoir. Both viruses can also infect ...
Forecasting seasonal influenza epidemics with physics-informed neural networks [0.03%]
基于物理知识的神经网络预测季节性流感流行
Martina Rama,Gabriele Santin,Giulia Cencetti et al.
Martina Rama et al.
Accurate epidemic forecasting is critical for informing public health decisions and timely interventions. While physics-informed neural networks have shown promise in various scientific domains, their potential application to real-time epid...
Evaluating age-dependent transmission and vaccination policy in Singapore's SARS-CoV-2 epidemic: A computational modelling approach [0.03%]
计算建模评估新加坡新冠肺炎疫情中不同年龄段的传播和疫苗接种政策
Jingyan Huang,Zhi Ling,Mousumi Roy et al.
Jingyan Huang et al.
The SARS-CoV-2 pandemic in Singapore revealed pronounced age-specific differences in disease transmission and severity. To investigate these dynamics, we developed a semi-mechanistic Bayesian hierarchical model that jointly estimated SARS-C...
From survey to solutions: Tackling diversity and inclusion gaps through an inclusion task force [0.03%]
从调查到解决方案：通过包容性工作组解决多样性和包容性差距问题
Ruthie Birger,Arthur Schurr,Dustin G Padilla et al.
Ruthie Birger et al.
As a company, Merck & Co., Inc., Rahway, NJ, USA (hereinafter "MSD"), strives to create an environment of mutual respect, inclusion, and accountability in all areas. However, an internal survey revealed that inclusion scores were notably lo...
Value of risk-contact data from digital contact monitoring apps in infectious disease modeling [0.03%]
数字接触监测应用程序中的风险接触数据在传染病建模中的价值评估
Martijn H H Schoot Uiterkamp,Willian J van Dijk,Hans Heesterbeek et al.
Martijn H H Schoot Uiterkamp et al.
In this paper, we present a simple method to integrate risk-contact data, obtained via digital contact monitoring (DCM) apps, in conventional compartmental transmission models. During the recent COVID-19 pandemic, many such data have been c...
Some mathematical reasons why meta-analyses of nonpharmaceutical interventions like facemasks could be inaccurate [0.03%]
一些数学原因说明为什么像口罩这样的非药物干预措施的荟萃分析可能是不准确的
Brian M Gurbaxani
Brian M Gurbaxani
Objectives: The COVID-19 pandemic highlighted the need for non-pharmaceutical interventions (NPI) to mitigate hospitalization and death prior to vaccine availability. However, the precise impact of those mitigations have ...
On the simultaneous inference of susceptibility distributions and intervention effects from epidemic curves [0.03%]
从流行病曲线中同时推断易感性分布和干预效果
Ibrahim Mohammed,Chris Robertson,M Gabriela M Gomes
Ibrahim Mohammed
Susceptible-Exposed-Infectious-Recovered (SEIR) models with inter-individual variation in susceptibility or exposure to infection were proposed early in the COVID-19 pandemic as a potential element of the mathematical/statistical toolset av...