Age Group Sensitivity Analysis in age stratified epidemic models: Investigating the impact of contact matrix structure [0.03%]
分年龄段流行病模型中的年龄组敏感性分析：探讨接触矩阵结构的影响
Zsolt Vizi,Evans Kiptoo Korir,Norbert Bogya et al.
Zsolt Vizi et al.
Understanding the role of different age groups in disease transmission is crucial for designing effective intervention strategies. Age-structured epidemic models capture these dynamics through contact matrices, which describe interactions b...
Foundation models for time series forecasting and policy evaluation in infectious disease epidemics [0.03%]
流行病期间传染病传播预测和政策评估的基础模型研究
Suprabhath Kalahasti,Benjamin Faucher,Boxuan Wang et al.
Suprabhath Kalahasti et al.
Epidemic forecasting and public health policy evaluation rely on mathematical models, but traditional approaches struggle in data-limited settings. We evaluated whether transformer-based, foundation Artificial Intelligence models can serve ...
Breaking down barriers: A funder's perspective on achieving equity and inclusivity in infectious disease modelling and epidemiology [0.03%]
从资助者的角度探讨传染病建模和流行病学中实现公平性和包容性面临的障碍及解决办法
Sumithra Subramaniam,Katherine Davis,Christinah Mukandavire et al.
Sumithra Subramaniam et al.
Persistent inequities in infectious disease modelling and epidemiology hinder the effectiveness and impact of global health research. These disparities, ranging from limited data infrastructure in low- and middle-income countries (LMICs) to...
Pseudo-time reconstruction for analyzing transmission direction in COVID-19 contact-tracing data [0.03%]
用于分析COVID-19接触追踪数据中传播方向的伪时间重建方法
Jiazhang Cai,Yan Feng,Huimin Cheng et al.
Jiazhang Cai et al.
SARS-CoV-2, the virus responsible for COVID-19, emerged in late 2019 and rapidly spread worldwide. Inferring transmission direction between epidemiologically linked cases is an important component of outbreak investigation, yet symptom-onse...
Common misspecification of the generation interval leads to reproduction number underestimation in phylodynamic inference [0.03%]
谱系动力学推断中常见的代间隔规范错误导致基本再生数估计不足
Yeongseon Park,Katia Koelle
Yeongseon Park
Generation intervals are distributions that describe the time between infection and onward transmission. They are a key epidemiological quantity because, together with the reproduction number R, they determine the population-level growth ra...
Camelia R Walker,Md Nurul Anwar,Leandra Bräuninger et al.
Camelia R Walker et al.
Plasmodium falciparum is responsible for the majority of malaria morbidity and mortality each year. Malaria transmission rates vary by location and time of year due to climate and environmental conditions. We show the impact of these factor...
Wastewater surveillance: From COVID-19 emergency response to a pillar of continuous public health [0.03%]
废水监测：从新冠肺炎应急响应到持续公共卫生体系的一部分
David A Larsen,Kathy Leung
David A Larsen
Granular insights: A wastewater-based machine learning approach for localized COVID-19 hospitalization forecasting [0.03%]
基于废水的机器学习方法用于局部COVID-19住院人数预测的粒度分析
Nusrat Tabassum,Mohammad Mihrab Chowdhury,Christopher S McMahan et al.
Nusrat Tabassum et al.
Wastewater-based epidemiology (WBE) is a valuable tool for monitoring emerging disease trends in a community. Specifically, early predictions of hospitalization in a community can help reduce the strain on healthcare services and facilitate...
COVID-19 hospital admissions and wastewater data in Canada: A statistical analysis [0.03%]
加拿大COVID-19住院率和污水数据的统计分析
Warsame Yusuf,David Champredon
Warsame Yusuf
Since the COVID-19 pandemic, many jurisdictions have adopted wastewater-based surveillance for various pathogens. Indeed, monitoring pathogen concentration in wastewater, usually measured in RNA or DNA copies per milliliter, can efficiently...
Characterizing co-circulating respiratory virus genomic diversity in Switzerland with hybrid-capture sequencing and phylogenetic reconstructions: Insights into the 2023/24 season [0.03%]
瑞士呼吸道病毒基因组多样性的杂交捕获测序和系统发育重建：对2023/24季节的见解
Charlyne Bürki,Matteo Carrara,Lea Fahrni et al.
Charlyne Bürki et al.
Respiratory viruses circulate yearly with strain-specific patterns. Although SARS-CoV-2 and Influenza A/B genomic surveillance is well-developed, most respiratory viruses are unevenly monitored, lacking geographical diversity to capture wid...