The epidemic characters of Omicron(e.g.large-scale transmission)are significantly different from the initial variants of COVID-19.The data generated by large-scale transmission is important to predict the trend of epi...The epidemic characters of Omicron(e.g.large-scale transmission)are significantly different from the initial variants of COVID-19.The data generated by large-scale transmission is important to predict the trend of epidemic characters.However,the re-sults of current prediction models are inaccurate since they are not closely combined with the actual situation of Omicron transmission.In consequence,these inaccurate results have negative impacts on the process of the manufacturing and the service industry,for example,the production of masks and the recovery of the tourism industry.The authors have studied the epidemic characters in two ways,that is,investigation and prediction.First,a large amount of data is collected by utilising the Baidu index and conduct questionnaire survey concerning epidemic characters.Second,theβ-SEIDR model is established,where the population is classified as Susceptible,Exposed,Infected,Dead andβ-Recovered persons,to intelligently predict the epidemic characters of COVID-19.Note thatβ-Recovered persons denote that the Recovered persons may become Sus-ceptible persons with probabilityβ.The simulation results show that the model can accurately predict the epidemic characters.展开更多
《过敏与临床免疫学杂志》(Journal of Allergy and Clinical Immunology,JACI)创刊于1929年,是过敏性疾病领域引用率最高的杂志,其发表变应性鼻炎、慢性鼻窦炎和哮喘等临床、基础和转化研究的高质量论文,为变态反应科和呼吸科等研究人...《过敏与临床免疫学杂志》(Journal of Allergy and Clinical Immunology,JACI)创刊于1929年,是过敏性疾病领域引用率最高的杂志,其发表变应性鼻炎、慢性鼻窦炎和哮喘等临床、基础和转化研究的高质量论文,为变态反应科和呼吸科等研究人员提供了最新前沿动态。本文通过引文分析明确JACI创刊90年来的排名前100(TOP 100)文章,以及它们对过敏与临床免疫领域作出的贡献,旨在为研究者提供未来研究的重点和方向。展开更多
基金Key discipline construction project for traditional Chinese Medicine in Guangdong province,Grant/Award Number:20220104The construction project of inheritance studio of national famous and old traditional Chinese Medicine experts,Grant/Award Number:140000020132。
文摘The epidemic characters of Omicron(e.g.large-scale transmission)are significantly different from the initial variants of COVID-19.The data generated by large-scale transmission is important to predict the trend of epidemic characters.However,the re-sults of current prediction models are inaccurate since they are not closely combined with the actual situation of Omicron transmission.In consequence,these inaccurate results have negative impacts on the process of the manufacturing and the service industry,for example,the production of masks and the recovery of the tourism industry.The authors have studied the epidemic characters in two ways,that is,investigation and prediction.First,a large amount of data is collected by utilising the Baidu index and conduct questionnaire survey concerning epidemic characters.Second,theβ-SEIDR model is established,where the population is classified as Susceptible,Exposed,Infected,Dead andβ-Recovered persons,to intelligently predict the epidemic characters of COVID-19.Note thatβ-Recovered persons denote that the Recovered persons may become Sus-ceptible persons with probabilityβ.The simulation results show that the model can accurately predict the epidemic characters.
文摘《过敏与临床免疫学杂志》(Journal of Allergy and Clinical Immunology,JACI)创刊于1929年,是过敏性疾病领域引用率最高的杂志,其发表变应性鼻炎、慢性鼻窦炎和哮喘等临床、基础和转化研究的高质量论文,为变态反应科和呼吸科等研究人员提供了最新前沿动态。本文通过引文分析明确JACI创刊90年来的排名前100(TOP 100)文章,以及它们对过敏与临床免疫领域作出的贡献,旨在为研究者提供未来研究的重点和方向。
