Modelling the transmission and impact of Omicron variants of Covid-19 in different ethnicity groups in Aotearoa New Zealand [0.03%]
建模模拟新冠奥米克戎变异株在新西兰不同族裔群体中的传播与影响
Samik Datta,Vincent X Lomas,Nicole Satherley et al.
Samik Datta et al.
Previous pandemics, including influenza pandemics and Covid-19, have disproportionately impacted Māori and Pacific populations in Aotearoa New Zealand. The reasons for this are multi-faceted, including differences in socioeconomic deprivat...
Multiscale modeling of vector-borne diseases: The role of dose-dependent transmission [0.03%]
剂量依赖性传播的媒介传播疾病多尺度模型研究
Fernando Saldaña,Jorge X Velasco-Hernández,Pauline Ezanno et al.
Fernando Saldaña et al.
The transmission of infectious diseases involves complex interactions across multiple biological scales, from within-host immunological processes to between-host transmission dynamics. While multiscale models have the potential to capture t...
Leveraging regularity in COVID-19 growth rate dynamics for epidemic wave forecasting [0.03%]
利用COVID-19增长速率的规律性进行疫情波预测
Matthew J Y Shin,Juliette Paireau,Simon Cauchemez
Matthew J Y Shin
Real-time forecasting of infectious diseases is essential for public health decision-making. Traditional forecasting methods for epidemics exhibiting repeated waves, such as influenza and RSV, rely on strongly regular patterns in the incide...
Combining an agent-based model with Gaussian process emulation to model the emergence of the SARS-CoV-2 Omicron variant in Norway [0.03%]
结合代理模型和高斯过程模拟模型来模拟奥密克戎变异株在挪威的出现
Alfonso Diz-Lois Palomares,Birgitte Freiesleben de Blasio,Louis Yat Hin Chan et al.
Alfonso Diz-Lois Palomares et al.
Agent-based models (ABMs) are powerful for simulating detailed infectious disease dynamics, but they are computationally intensive, limiting parameter inference. We present a Bayesian history matching approach with Gaussian process emulatio...
Clara Brigitta,David Hodgson,Graham F Medley et al.
Clara Brigitta et al.
Respiratory Syncytial Virus (RSV) is a leading cause of respiratory illness in young children. While maternal antibodies offer temporary protection in early infancy, their interaction with age-dependent disease risk remains poorly quantifie...
Enhancing Influenza-Like Illness forecasting: An ensemble approach combining mathematical and deep learning models amidst the COVID-19 pandemic [0.03%]
新冠肺炎大流行下的流感预测提升：结合数学模型和深度学习的集合模型预报感冒高峰期研究
Ganghyun Yoon,Amanda Bleichrodt,Gerardo Chowell et al.
Ganghyun Yoon et al.
Background: Timely and accurate short-term forecasting of Influenza-Like Illness (ILI) is crucial for guiding outbreak response, optimizing healthcare resource allocation, and informing public health interventions. The CO...
Assessing methodological variability in wastewater surveillance: A wavelet decomposition approach [0.03%]
基于小波分解的污水监测方法学变异评估研究
Maria L Daza-Torres,J Cricelio Montesinos-López,Rachel Olson et al.
Maria L Daza-Torres et al.
Wastewater surveillance has emerged as a critical public health tool, enabling early detection of infectious disease outbreaks and providing timely, population-level insights into community health trends. However, variability in sample coll...
Using wastewater surveillance to improve infectious disease control in correctional facilities and congregate living settings: A modeling perspective [0.03%]
利用废水监测改善拘留设施和集中居住场所的传染病控制：建模视角
Daniel de-la-Rosa-Martinez,Kara L Nelson,Joyce Lee et al.
Daniel de-la-Rosa-Martinez et al.
Wastewater surveillance is a valuable tool for monitoring infectious disease dynamics. However, its integration into outbreak control strategies in congregate settings requires further exploration. As observed during the SARS-CoV-2 pandemic...
Generating geographically detailed synthetic contact networks: A generalizable approach with applications to epidemic outcome disparities [0.03%]
生成地理细节详尽的合成接触网络：一种通用方法及其在流行病结果差异方面的应用
Alexander Y Tulchinsky,Alisa Hamilton,Fardad Haghpanah et al.
Alexander Y Tulchinsky et al.
Social contact networks based on synthetic populations are useful for studying the effects of population features and policy interventions on disease transmission. We present an adaptable and accessible method for generating geographically ...
Transmission lineage dynamics and the detection of viral importation in emerging epidemics [0.03%]
传播谱系动态与新兴流行病中病毒输入的检测
Joseph L-H Tsui,Prathyush Sambaturu,Rosario Evans Pena et al.
Joseph L-H Tsui et al.
The accurate inference of pathogen movements among locations during an epidemic is crucial for measuring infectious disease spread and for informing effective control strategies. Phylogeographic methods can reconstruct historical patterns o...