[HTML][HTML] 基于“大数据” 的流感预警研究进展

付之鸥, 鲍昌俊, 李中杰, 王丽萍, 李苑, 冷寒冰… - 中华流行病学 …, 2020 - html.rhhz.net
传统流感预警体系在监测范围, 预测准确性和实时性等方面仍存在不足. 随着新一轮科技革命的
兴起, 现代信息技术日趋成熟, 以大数据分析为基础的流感预警技术已经成为研究焦点 …

A Predictive Model of the Start of Annual Influenza Epidemics

E Castro Blanco, MR Dalmau Llorca, C Aguilar Martín… - Microorganisms, 2024 - mdpi.com
Influenza is a respiratory disease that causes annual epidemics during cold seasons. These
epidemics increase pressure on healthcare systems, sometimes provoking their collapse …

Predicting onset of COVID-19 with mobility-augmented SEIR model

N Wu, X Ben, B Green, K Rough, S Venkatramanan… - medRxiv, 2020 - medrxiv.org
Timely interventions and early preparedness of healthcare resources are crucial measures
to tackle the COVID-19 disease. To aid these efforts, we developed the Mobility-Augmented …

Local spread of influenza A (H1N1) viruses without a mutation for the maximum duration of an epidemic season in Japan

A Tsuneki-Tokunaga, T Kondo, K Kanai, A Itagaki… - Archives of …, 2021 - Springer
Close observation of the local transmission of influenza A (H1N1) viruses enabled an
estimate of the length of time the virus was transmitted without a mutation. Of 4,448 isolates …

Pharmacometric analysis of seasonal influenza epidemics and the effect of vaccination using sentinel surveillance data

Y Otani, H Kasai, Y Tanigawara - CPT: Pharmacometrics & …, 2022 - Wiley Online Library
The identification of influenza epidemics and assessment of the efficacy of vaccination
against this infection are major challenges for the implementation of effective public health …

Spatio-Temporal Characteristics of Influenza Burden and Its Influence Factors in Japan in the Past Three Decades: An Influenza Disease Burden Data-Based …

J Wang, S Zhang, A Dai - Big Data Research, 2023 - Elsevier
Introduction: Influenza has still posed a great threat to humans. The knowledge of the
systematic disease burden of influenza in Japan was limited. The study was aimed to …

Local Spread of Influenza A (H1N1) Viruses Without A Mutation For The Maximum Duration of An Epidemic Season In Japan

S Kageyama, A Tsuneki-Tokunaga, K Kanai - 2021 - researchsquare.com
Close observation of the local transmission of influenza A (H1N1) viruses enabled an
estimation of the transmission period of the virus without a mutation. Of 4,448 isolates from …