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Effect of human rhinovirus infection in pediatric patients with influenza-like illness on the 2009 pandemic influenza A（H1N1） virus

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Chinese Medical Journal 2014年第9期127卷 1656-1660页

作者： Sun Yu Zhu Ru'nan Zhao Linqing Deng Jie Wang Fang Ding Yaxin Yuan Yi Qu Dong Qian Yuan Laboratory of Virology Capital Institute of Pediatrics Beijing 100020 China Affiliated Children's Hospital to Capital Institute of Pediatrics Beijing 100020 China

Background Some research groups have hypothesized that human rhinoviruses （HRVs） delayed the circulation of the 2009 pandemic influenza A（H1N1） virus （A（H1N1）pdm09） at the beginning of Autumn 2009 in *** study aimed to evaluate the relationship between HRV and A（H1N1）pdm09 in pediatric patients with influenza-like illness in Beijing,*** A systematic analysis to detect A（H1N1）pdm09 and seasonal influenza A virus （FLU A） was performed on 4 349 clinical samples from pediatric patients with influenza-like illness during the period June 1,2009 to February 28,2010,while a one-step real-time RT-PCR （rRT-PCR） assay was used to detect HRV in 1 146 clinical specimens selected from those 4 349 *** During the survey period,only one wave of A（H1N1）pdm09 was *** percentage of positive cases for A（H1N1）pdm09 increased sharply in September with a peak in November 2009 and then declined in February *** on the monthly distribution of HRVs indicated that more HRV-positive samples were detected in September （2.2％） and October （3.3％）,revealing that the peak of HRV infection in 2009 was similar to that of other *** the 1 146 specimens examined for HRVs,21 （1.8％） were HRV-positive,which was significantly lower than that reported previously in Beijing （15.4％ to 19.2％）（P ＜0.01）.Overall,6 samples were positive for both A（H1N1）pdm09 and HRV,which represented a positive relative frequency of 1.60％ and 2.08％ HRV,considering the A（H1N1）pdm09-positive and-negative specimens,*** odds ratio was 0.87 （95％ CI 0.32; 2.44,P=0.80）.Conclusions HRVs and A （H1N1）pdm09 co-circulated in this Chinese population during September and October 2009,and the HRV epidemic in 2009 did not affect A（H1N1）pdm09 infection rates in Beijing,China as suggested by other ***,the presence of A（H1N1）pdm09 might explain the unexpected reduction in the percentage of HRV positive cases during the period studied.

关键词： real-time PCR assay human rhinovirus A(H1N1)pdm09, pediatric patients influenza-like illness

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Etiological characteristics of influenza-like illness in Jiangsu province from 2012 to 2016

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The Journal of Biomedical Research 2019年第6期33卷 398-407页

作者： Ke Xu Xiang Huo Rongqiang Zu Shenjiao Wang Yuanfang Qin Qigang Dai Xian Qi Huiyan Yu Lilin Chen Lei Hong Yangting Xu Qianhua Yi Weixiang Wang Xuan Wang Wenjun Dai Jie Zha Weining Han Changjun Bao Department of Acute Infectious Disease Control and Prevention Jiangsu Provincial Center for Disease Control and PreventionNanjingJiangsu 210009China Department of Acute Infectious Disease Control and Prevention Suzhou Municipal Center for Disease Control and PreventionSuzhouJiangsu 215004China Department of Acute Infectious Disease Control and Prevention Nanjing Municipal Center for Disease Control and PreventionNanjingJiangsu 210003China Department of Acute Infectious Disease Control and Prevention Taizhou Municipal Center for Disease Control and PreventionTaizhouJiangsu 225300China

influenza-like illness(ILI)is an acute respiratory infection caused by various ***,the epidemiologic characteristics of ILI pathogens in Jiangsu province are *** better understand the ILI etiology,the characteristics of the pathogens from nasopharyngeal swab samples of patients with ILI collected from 2012 to 2016 in 6 hospitals in Jiangsu province were *** pathogens,including influenza virus,respiratory syncytial virus(RSV),rhinovirus(HRV),adenovirus(ADV),herpes simplex virus(HSV),human coronavirus(hCoV),Streptococcus pneumoniae and Haemophilus influenzae,were detected by real-time *** least one pathogen was identified in 1334 of the patients(40.23%).Among viruses,HRV,influenza A virus(Flu A),ADV and RSV were the most frequently *** was the only pathogen that was distributed evenly in different years and regions(P>0.05).The etiological distribution varied in different age *** pneumoniae was the most common pathogen in co-infections with a co-detection rate of 64.57%(319/494).The spectrum of etiologies could help to estimate disease burden and provide guidance for vaccination.

关键词： influenza-like illness pathogens co-infection distribution

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Regional and temporal patterns of influenza: Application of functional data analysis

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Infectious Disease Modelling 2021年第1期6卷 1061-1072页

作者： Azizur Rahman Depeng Jiang Department of Community Health Sciences University of ManitobaWinnipegManitobaCanada Department of Statistics Jahangirnagar UniversitySavarDhakaBangladesh School of Sciences Nanjing Forest UniversityNanjingJiangsuChina

Background:The accurate estimation of temporal patterns of influenza may help in utilizing hospital resources and guiding influenza *** paper proposes functional data analysis(FDA)to improve the prediction of temporal patterns of ***:We illustrate FDA methods using the weekly influenza-like illness(ILI)activity level data from the *** propose to use the Fourier basis function for transforming discrete weekly data to the smoothed functional ILI *** analysis of variance(FANOVA)is used to examine the regional differences in temporal patterns and the impact of state's political ***:The ILI activity has a very distinct peak at the beginning and end of the *** are significant differences in average level of ILI activities among geographic ***,the temporal patterns in terms of the peak and flat time are quite consistent across *** geographic and temporal patterns of ILI activities also depend on the political make-up of *** states affiliated with Republicans had higher ILI activities than those affiliated with Democrats across the whole *** influence of political party affiliation on temporal pattern is quite different among geographic ***:Functional data analysis can help us to reveal the temporal variability in average ILI levels,rate of change in ILI levels,and the effect of geographical *** should be given to wider application of FDA to generate more accurate estimates in public health and biomedical research.

关键词： Functional data analysis Functional ANOVA influenza-like illness Temporal patterns Political orientation

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应急状态下新冠流行曲线预测的方法学研究——基于北京市百度搜索和传统流感样病例监测

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Engineering 2023年第12期31卷 112-119页

作者： Ting Zhang Liuyang Yang Xuan Han Guohui Fan Jie Qian Xuancheng Hu Shengjie Lai Zhongjie Li Zhimin Liu Luzhao Feng Weizhong Yang School of Population Medicine and Public Health Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100730China Department of management science and information system Faculty of Management and EconomicsKunming University of Science and TechnologyKunming 650504China WorldPop School of Geography and Environmental ScienceUniversity of SouthamptonSouthampton SO171BJUK The Third Affiliated Hospital of Kunming Medical University Kunming 650118China

Surveillance is an essential work on infectious diseases prevention and *** the pandemic occurred,the inadequacy of traditional surveillance was exposed,but it also provided a valuable opportunity to explore new surveillance *** study aimed to estimate the transmission dynamics and epidemic curve of severe acute respiratory syndrome coronavirus 2(SARS-Co V-2)Omicron BF.7 in Beijing under the emergent situation using Baidu index and influenza-like illness(ILI)surveillance.A novel hybrid model(multiattention bidirectional gated recurrent unit(MABG)-susceptible-exposed-infected-removed(SEIR))was developed,which leveraged a deep learning algorithm(MABG)to scrutinize the past records of ILI occurrences and the Baidu index of diverse symptoms such as fever,pyrexia,cough,sore throat,anti-fever medicine,and runny *** considering the current Baidu index and the correlation between ILI cases and coronavirus disease 2019(COVID-19)cases,a transmission dynamics model(SEIR)was formulated to estimate the transmission dynamics and epidemic curve of SARS-Co *** the COVID-19 pandemic,when conventional surveillance measures have been suspended temporarily,cases of ILI can serve as a useful indicator for estimating the epidemiological trends of *** the specific case of Beijing,it has been ascertained that cumulative infection attack rate surpass 80.25%(95%confidence interval(95%CI):77.51%-82.99%)since December 17,2022,with the apex of the outbreak projected to transpire on December *** culmination of existing patients is expected to occur three days subsequent to this *** reproduction number(Rt)represents the average number of secondary infections generated from a single infected individual at a specific point in time during an epidemic,remained below 1 since December 17,*** traditional disease surveillance systems should be complemented with information from modern surveillance data such as online data sources with advanced techn

关键词： COVID-19 Epidemic curve Baidu search engine influenza-like illness Deep learning Transmission dynamics model

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