A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data [0.03%]
基于多源城市数据的新冠肺炎疫情短期预测模型
Ruxin Wang,Chaojie Ji,Zhiming Jiang et al.
Ruxin Wang et al.
The ongoing coronavirus disease 2019 (COVID-19) pandemic spread throughout China and worldwide since it was reported in Wuhan city, China in December 2019. 4 589 526 confirmed cases have been caused by the pandemic of severe acute respirato...
Mitigating COVID-19 Transmission in Schools With Digital Contact Tracing [0.03%]
基于数字接触者的追踪以缓解学校中的COVID-19传播
Hao-Chen Sun,Xiao-Fan Liu,Zhan-Wei Du et al.
Hao-Chen Sun et al.
Precision mitigation of COVID-19 is in pressing need for postpandemic time with the absence of pharmaceutical interventions. In this study, the effectiveness and cost of digital contact tracing (DCT) technology-based on-campus mitigation st...
Analysis, Modeling, and Representation of COVID-19 Spread: A Case Study on India [0.03%]
COVID-19传播的分析、建模和表示：以印度为例的研究
Rahul Mishra,Hari Prabhat Gupta,Tanima Dutta
Rahul Mishra
Coronavirus outbreak is one of the challenging pandemics for the entire human population on Earth. Techniques, such as the isolation of infected people and maintaining social distancing, are the only preventive measures against the pandemic...
Thread Structure Learning on Online Health Forums with Partially Labeled Data [0.03%]
基于部分标注数据的在线健康论坛中的线程结构学习方法研究
Yunzhong Liu,Jinhe Shi,Yi Chen
Yunzhong Liu
Thread structures, the reply relationships between posts, in online forums are very important for readers to understand the thread content, as well as for improving the effectiveness of automated forum information retrieval, expert findings...
Marzieh Soltanolkottabi,David Ben-Arieh,Chih-Hang Wu
Marzieh Soltanolkottabi
Epidemics of infectious disease can be traced back to the early days of mankind. Only in the last two centuries vaccination has become a viable strategy to prevent such epidemics. In addition to the clinical efficacy of this strategy, the b...
Rongsheng Dong,Libing Li,Qingpeng Zhang et al.
Rongsheng Dong et al.
Social media analytics has drawn new quantitative insights of human activity patterns. Many applications of social media analytics, from pandemic prediction to earthquake response, require an in-depth understanding of how these patterns cha...
Extreme-scale Dynamic Exploration of a Distributed Agent-based Model with the EMEWS Framework [0.03%]
基于EMEWS框架的分布式智能体模型的大规模动态探索
Jonathan Ozik,Nicholson T Collier,Justin M Wozniak et al.
Jonathan Ozik et al.
Agent-based models (ABMs) integrate multiple scales of behavior and data to produce higher-order dynamic phenomena and are increasingly used in the study of important social complex systems in biomedicine, socio-economics and ecology/resour...
Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network [0.03%]
癌症幸存者网络中情感变化的时序因果分析
Ngot Bui,John Yen,Vasant Honavar
Ngot Bui
Online health communities constitute a useful source of information and social support for patients. American Cancer Society's Cancer Survivor Network (CSN), a 173,000-member community, is the largest online network for cancer patients, sur...
Breast Cancer Symptom Clusters Derived from Social Media and Research Study Data Using Improved K-Medoid Clustering [0.03%]
基于社交媒体和研究数据使用改进K--medoids聚类方法得出的乳腺癌症状群簇分析
Qing Ping,Christopher C Yang,Sarah A Marshall et al.
Qing Ping et al.
Most cancer patients, including patients with breast cancer, experience multiple symptoms simultaneously while receiving active treatment. Some symptoms tend to occur together and may be related, such as hot flashes and night sweats. Co-occ...