Influenza-like illness(ILI)is an acute respiratory infection caused by various pathogens.However,the epidemiologic characteristics of ILI pathogens in Jiangsu province are unclear.To better understand the ILI etiology...Influenza-like illness(ILI)is an acute respiratory infection caused by various pathogens.However,the epidemiologic characteristics of ILI pathogens in Jiangsu province are unclear.To 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 studied.The 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 PCR.At 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 detected.ADV was the only pathogen that was distributed evenly in different years and regions(P>0.05).The etiological distribution varied in different age groups.Streptococcus 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.展开更多
Background Influenza is an acute respiratory infectious disease with a significant global disease burden.Additionally,the coronavirus disease 2019 pandemic and its related non-pharmaceutical interventions(NPIs)have in...Background Influenza is an acute respiratory infectious disease with a significant global disease burden.Additionally,the coronavirus disease 2019 pandemic and its related non-pharmaceutical interventions(NPIs)have introduced uncertainty to the spread of influenza.However,comparative studies on the performance of innovative models and approaches used for influenza prediction are limited.Therefore,this study aimed to predict the trend of influenza-like illness(ILI)in settings with diverse climate characteristics in China based on sentinel surveillance data using three approaches and evaluate and compare their predictive performance.Methods The generalized additive model(GAM),deep learning hybrid model based on Gate Recurrent Unit(GRU),and autoregressive moving average-generalized autoregressive conditional heteroscedasticity(ARMA—GARCH)model were established to predict the trends of ILI 1-,2-,3-,and 4-week-ahead in Beijing,Tianjin,Shanxi,Hubei,Chongqing,Guangdong,Hainan,and the Hong Kong Special Administrative Region in China,based on sentinel surveillance data from 2011 to 2019.Three relevant metrics,namely,Mean Absolute Percentage Error(MAPE),Root Mean Squared Error(RMSE),and R squared,were calculated to evaluate and compare the goodness of fit and robustness of the three models.Results Considering the MAPE,RMSE,and R squared values,the ARMA—GARCH model performed best,while the GRU-based deep learning hybrid model exhibited moderate performance and GAM made predictions with the least accuracy in the eight settings in China.Additionally,the models’predictive performance declined as the weeks ahead increased.Furthermore,blocked cross-validation indicated that all models were robust to changes in data and had low risks of overfitting.Conclusions Our study suggested that the ARMA—GARCH model exhibited the best accuracy in predicting ILI trends in China compared to the GAM and GRU-based deep learning hybrid model.Therefore,in the future,the ARMA—GARCH model may be used to predict ILI trends in public health practice across diverse climatic zones,thereby contributing to influenza control and prevention efforts.展开更多
Objective： To investigate Chinese medicine （CM） patterns and epidemiological characters of patients with influenza-like illness （ILI） syndromes in clinics in China. Methods： A prospective multi-center observatio...Objective： To investigate Chinese medicine （CM） patterns and epidemiological characters of patients with influenza-like illness （ILI） syndromes in clinics in China. Methods： A prospective multi-center observational epidemiology survey on the clinical CM patterns of ILI and its prevalence was conducted from September 2009 to April 2010. A unified survey questionnaire was developed for data collection of ILI symptoms and CM pattems. Totally 45 hospitals from 22 provinces, municipality cities and autonomous regions of China participated this study. The collected data were input by EPI-data v3.1 and analyzed by SPSS 18.0, which included descriptive analysis and Chi-square test for group comparison. Results： A total of 5,967 ILI patients were included in the study. The proportion of the 18-34 aged group （56.2%） was the largest; students （41.0%） were more than other occupations. Majority of the patients had the wind-heat invading Lung （Fei） syndrome （76%）, while in Southwest China mainly wind-heat invading Lung syndrome and wind-cold tightening the exterior syndrome occurred. The typical symptoms of ILI were ranked as fatigue （80.9%）, cough （72.2%）, sore throat （67.2%）, muscular soreness （67.1%）, headache （65.4%）, aversion to cold （60.1%）, thirst （55.1%） and nasal obstruction （48.1%）. Conclusions： The ILl patients in clinics were mainly teenagers and young adults. In regard to CM syndrome, wind-heat invading Lung syndrome prevailed in all regions except the Southwest China. The characteristics of CM syndrome of ILl patients may be relevant to age and region distribution.展开更多
Objective: To report the i ndings of inl uenza surveillance programme from Union territory of Puducherry and to document the clinical and epidemiological data of inl uenza viruses over a i ve year period from 2009-201...Objective: To report the i ndings of inl uenza surveillance programme from Union territory of Puducherry and to document the clinical and epidemiological data of inl uenza viruses over a i ve year period from 2009-2013. Methods: Respiratory samples were collected from patients with influenza-like illness from 2009-2013 as part of routine diagnostic and surveillance activity. Detection of pandemic inl uenza A(H1N1) 2009, inl uenza A(H3N2) and inl uenza B was done using Real-time PCR. Results: Of the total 2 247 samples collected from patients with inl uenza-like illness during the study period 287(12.7%) and 92(4.0%) were positive for inl uenza A(H1N1) 2009 and inl uenza A(H3N2) respectively. A subset of 557 of these samples were also tested for inl uenza B and 24(4.3%) were positive. Signii cantly higher positivity rate for both viruses was observed in adults when compared with children. The peak positivity of influenza A(H1N1) 2009 was observed in 2009 followed by 2012, while that of inl uenza A(H3N2) was more uniformly distributed with the exception of 2012. Overall mortality rate due to influenza A(H1N1) 2009 was 7.6% while it was 1% for influenza A(H3N2). Each year influenza-like illness and influenza virus activity coincided with period of high rainfall and low temperature except in the first half of 2012. Conclusions: As the sole referral laboratory in this region, the data provides a comprehensive picture of inl uenza activity. This information will be useful in future planning of the vaccine schedule and inl uenza pandemic preparedness.展开更多
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 France.Th...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 France.This study aimed to evaluate the relationship between HRV and A（H1N1）pdm09 in pediatric patients with influenza-like illness in Beijing,China.Methods 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 specimens.Results During the survey period,only one wave of A（H1N1）pdm09 was observed.The percentage of positive cases for A（H1N1）pdm09 increased sharply in September with a peak in November 2009 and then declined in February 2010.Data 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 years.Among 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,respectively.The 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 studies.However,the presence of A（H1N1）pdm09 might explain the unexpected reduction in the percentage of HRV positive cases during the period studied.展开更多
The Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient published in May 2009 (joint guidelines between the Society of Critical Care Medicine (SCCM) and the Ame...The Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient published in May 2009 (joint guidelines between the Society of Critical Care Medicine (SCCM) and the American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) have advanced our clinical practice for the nutritional management of critically ill patients. In the current article, we will review how to implement these guidelines using a case study model. Two mechanically ventilated and tube fed patients are discussed, one with pneumonia and the second with severe acute pancreatitis. We address the questions of the feeding timing, method of administration, and management of its complications for these two patients.展开更多
BACKGROUND With the emergence of severe acute respiratory syndrome coronavirus 2(SARSCoV-2) in late 2019 in Wuhan, China, liver injury in patients with coronavirus disease 2019(COVID-19) due to SARS-CoV-2 infection ha...BACKGROUND With the emergence of severe acute respiratory syndrome coronavirus 2(SARSCoV-2) in late 2019 in Wuhan, China, liver injury in patients with coronavirus disease 2019(COVID-19) due to SARS-CoV-2 infection has been regularly reported in the literature. There are a growing number of publications describing the occurrence of secondary sclerosing cholangitis(SSC) after SARS-CoV-2 infection in various cases. We present a case of sudden onset SSC in a critically ill patient(SSC-CIP) following COVID-19 infection who was previously healthy.CASE SUMMARY A 33-year old female patient was admitted to our University Hospital due to increasing shortness of breath. A prior rapid antigen test showed a positive result for SARS-CoV-2. The patient had no known preexisting conditions. With rapidly increasing severe hypoxemia she required endotracheal intubation and developed the need for veno-venous extracorporeal membrane oxygenation in a setting of acute respiratory distress syndrome. During the patient’s 154-d stay in the intensive care unit and other hospital wards she underwent hemodialysis and extended polypharmaceutical treatment. With increasing liver enzymes and the development of signs of cholangiopathy on magnetic resonance cholangiopancreatography(MRCP) as well as endoscopic retrograde cholangiopancreatography(ERCP), the clinical setting was suggestive of SSC. At an interdisciplinary meeting, the possibility of orthotopic liver transplantation and additional kidney transplantation was discussed due to the constant need for hemodialysis. Following a deterioration in her general health and impaired respiratory function with a reduced chance of successful surgery and rehabilitation, the plan for transplantation was discarded. The patient passed away due to multiorgan failure.CONCLUSION SSC-CIP seems to be a rare but serious complication in patients with SARS-CoV-2 infection, of which treating physicians should be aware. Imaging with MRCP and/or ERCP seems to be indicated and a valid method for early diagnosis. Further studies on the effects of early and late SSC in(post-) COVID-19 patients needs to be performed.展开更多
Surveillance is an essential work on infectious diseases prevention and control.When the pandemic occurred,the inadequacy of traditional surveillance was exposed,but it also provided a valuable opportunity to explore ...Surveillance is an essential work on infectious diseases prevention and control.When the pandemic occurred,the inadequacy of traditional surveillance was exposed,but it also provided a valuable opportunity to explore new surveillance methods.This 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 nose.By 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 V-2.During 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 COVID-19.In 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 12.The culmination of existing patients is expected to occur three days subsequent to this peak.Effective 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 17,2022.The traditional disease surveillance systems should be complemented with information from modern surveillance data such as online data sources with advanced technical support.Modern surveillance channels should be used primarily in emerging infectious and disease outbreaks.Syndrome surveillance on COVID-19 should be established to following on the epidemic,clinical severity,and medical resource demand.展开更多
基金supported by the Jiangsu Provincial Major Science & Technology Demonstration Project (No.BE2017749)the Jiangsu Province Science & Technology Demonstration Project for Emerging Infectious Diseases Control and Prevention (No.BE2015714)
文摘Influenza-like illness(ILI)is an acute respiratory infection caused by various pathogens.However,the epidemiologic characteristics of ILI pathogens in Jiangsu province are unclear.To 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 studied.The 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 PCR.At 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 detected.ADV was the only pathogen that was distributed evenly in different years and regions(P>0.05).The etiological distribution varied in different age groups.Streptococcus 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.
基金The Special Fund for Health Development Research of Beijing(2021-1G-3013)the Chinese Academy of Medical Sciences(CAMS)Innovation Fund for Medical Sciences(2021-I2M-1-044)the Bill&Melinda Gates Foundation(INV-024911).
文摘Background Influenza is an acute respiratory infectious disease with a significant global disease burden.Additionally,the coronavirus disease 2019 pandemic and its related non-pharmaceutical interventions(NPIs)have introduced uncertainty to the spread of influenza.However,comparative studies on the performance of innovative models and approaches used for influenza prediction are limited.Therefore,this study aimed to predict the trend of influenza-like illness(ILI)in settings with diverse climate characteristics in China based on sentinel surveillance data using three approaches and evaluate and compare their predictive performance.Methods The generalized additive model(GAM),deep learning hybrid model based on Gate Recurrent Unit(GRU),and autoregressive moving average-generalized autoregressive conditional heteroscedasticity(ARMA—GARCH)model were established to predict the trends of ILI 1-,2-,3-,and 4-week-ahead in Beijing,Tianjin,Shanxi,Hubei,Chongqing,Guangdong,Hainan,and the Hong Kong Special Administrative Region in China,based on sentinel surveillance data from 2011 to 2019.Three relevant metrics,namely,Mean Absolute Percentage Error(MAPE),Root Mean Squared Error(RMSE),and R squared,were calculated to evaluate and compare the goodness of fit and robustness of the three models.Results Considering the MAPE,RMSE,and R squared values,the ARMA—GARCH model performed best,while the GRU-based deep learning hybrid model exhibited moderate performance and GAM made predictions with the least accuracy in the eight settings in China.Additionally,the models’predictive performance declined as the weeks ahead increased.Furthermore,blocked cross-validation indicated that all models were robust to changes in data and had low risks of overfitting.Conclusions Our study suggested that the ARMA—GARCH model exhibited the best accuracy in predicting ILI trends in China compared to the GAM and GRU-based deep learning hybrid model.Therefore,in the future,the ARMA—GARCH model may be used to predict ILI trends in public health practice across diverse climatic zones,thereby contributing to influenza control and prevention efforts.
基金Supported by the H1N1 Influenza of the Clinical Study of Traditional Chinese Medicine Management Project by State Administration of Traditional Chinese Medicine,China(No.200907001-2B)
文摘Objective： To investigate Chinese medicine （CM） patterns and epidemiological characters of patients with influenza-like illness （ILI） syndromes in clinics in China. Methods： A prospective multi-center observational epidemiology survey on the clinical CM patterns of ILI and its prevalence was conducted from September 2009 to April 2010. A unified survey questionnaire was developed for data collection of ILI symptoms and CM pattems. Totally 45 hospitals from 22 provinces, municipality cities and autonomous regions of China participated this study. The collected data were input by EPI-data v3.1 and analyzed by SPSS 18.0, which included descriptive analysis and Chi-square test for group comparison. Results： A total of 5,967 ILI patients were included in the study. The proportion of the 18-34 aged group （56.2%） was the largest; students （41.0%） were more than other occupations. Majority of the patients had the wind-heat invading Lung （Fei） syndrome （76%）, while in Southwest China mainly wind-heat invading Lung syndrome and wind-cold tightening the exterior syndrome occurred. The typical symptoms of ILI were ranked as fatigue （80.9%）, cough （72.2%）, sore throat （67.2%）, muscular soreness （67.1%）, headache （65.4%）, aversion to cold （60.1%）, thirst （55.1%） and nasal obstruction （48.1%）. Conclusions： The ILl patients in clinics were mainly teenagers and young adults. In regard to CM syndrome, wind-heat invading Lung syndrome prevailed in all regions except the Southwest China. The characteristics of CM syndrome of ILl patients may be relevant to age and region distribution.
基金Integrated Disease Surveillance Programme, New Delhi for financial support
文摘Objective: To report the i ndings of inl uenza surveillance programme from Union territory of Puducherry and to document the clinical and epidemiological data of inl uenza viruses over a i ve year period from 2009-2013. Methods: Respiratory samples were collected from patients with influenza-like illness from 2009-2013 as part of routine diagnostic and surveillance activity. Detection of pandemic inl uenza A(H1N1) 2009, inl uenza A(H3N2) and inl uenza B was done using Real-time PCR. Results: Of the total 2 247 samples collected from patients with inl uenza-like illness during the study period 287(12.7%) and 92(4.0%) were positive for inl uenza A(H1N1) 2009 and inl uenza A(H3N2) respectively. A subset of 557 of these samples were also tested for inl uenza B and 24(4.3%) were positive. Signii cantly higher positivity rate for both viruses was observed in adults when compared with children. The peak positivity of influenza A(H1N1) 2009 was observed in 2009 followed by 2012, while that of inl uenza A(H3N2) was more uniformly distributed with the exception of 2012. Overall mortality rate due to influenza A(H1N1) 2009 was 7.6% while it was 1% for influenza A(H3N2). Each year influenza-like illness and influenza virus activity coincided with period of high rainfall and low temperature except in the first half of 2012. Conclusions: As the sole referral laboratory in this region, the data provides a comprehensive picture of inl uenza activity. This information will be useful in future planning of the vaccine schedule and inl uenza pandemic preparedness.
基金This study was supported by the grants from the National Natural Science Foundation of China （No. 30872153） and the Beijing Outstanding Personnel Training Grant from the Beijing Municipal Committee for Science and Technology （No. 2006A63）.Acknowledgements： We would like to thank all the doctors and nurses in the Department of Emergency and the Outpatient Department at the Affiliated Children＇s Hospital of the Capital Institute of Pediatrics for collecting specimens from patients and information from their parents.
文摘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 France.This study aimed to evaluate the relationship between HRV and A（H1N1）pdm09 in pediatric patients with influenza-like illness in Beijing,China.Methods 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 specimens.Results During the survey period,only one wave of A（H1N1）pdm09 was observed.The percentage of positive cases for A（H1N1）pdm09 increased sharply in September with a peak in November 2009 and then declined in February 2010.Data 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 years.Among 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,respectively.The 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 studies.However,the presence of A（H1N1）pdm09 might explain the unexpected reduction in the percentage of HRV positive cases during the period studied.
文摘The Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient published in May 2009 (joint guidelines between the Society of Critical Care Medicine (SCCM) and the American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) have advanced our clinical practice for the nutritional management of critically ill patients. In the current article, we will review how to implement these guidelines using a case study model. Two mechanically ventilated and tube fed patients are discussed, one with pneumonia and the second with severe acute pancreatitis. We address the questions of the feeding timing, method of administration, and management of its complications for these two patients.
文摘BACKGROUND With the emergence of severe acute respiratory syndrome coronavirus 2(SARSCoV-2) in late 2019 in Wuhan, China, liver injury in patients with coronavirus disease 2019(COVID-19) due to SARS-CoV-2 infection has been regularly reported in the literature. There are a growing number of publications describing the occurrence of secondary sclerosing cholangitis(SSC) after SARS-CoV-2 infection in various cases. We present a case of sudden onset SSC in a critically ill patient(SSC-CIP) following COVID-19 infection who was previously healthy.CASE SUMMARY A 33-year old female patient was admitted to our University Hospital due to increasing shortness of breath. A prior rapid antigen test showed a positive result for SARS-CoV-2. The patient had no known preexisting conditions. With rapidly increasing severe hypoxemia she required endotracheal intubation and developed the need for veno-venous extracorporeal membrane oxygenation in a setting of acute respiratory distress syndrome. During the patient’s 154-d stay in the intensive care unit and other hospital wards she underwent hemodialysis and extended polypharmaceutical treatment. With increasing liver enzymes and the development of signs of cholangiopathy on magnetic resonance cholangiopancreatography(MRCP) as well as endoscopic retrograde cholangiopancreatography(ERCP), the clinical setting was suggestive of SSC. At an interdisciplinary meeting, the possibility of orthotopic liver transplantation and additional kidney transplantation was discussed due to the constant need for hemodialysis. Following a deterioration in her general health and impaired respiratory function with a reduced chance of successful surgery and rehabilitation, the plan for transplantation was discarded. The patient passed away due to multiorgan failure.CONCLUSION SSC-CIP seems to be a rare but serious complication in patients with SARS-CoV-2 infection, of which treating physicians should be aware. Imaging with MRCP and/or ERCP seems to be indicated and a valid method for early diagnosis. Further studies on the effects of early and late SSC in(post-) COVID-19 patients needs to be performed.
基金supported by grants from the Chinese Academy of Medical Sciences(CAMS)Innovation Fund for Medical Sciences(2021I2M-1-044)。
文摘Surveillance is an essential work on infectious diseases prevention and control.When the pandemic occurred,the inadequacy of traditional surveillance was exposed,but it also provided a valuable opportunity to explore new surveillance methods.This 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 nose.By 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 V-2.During 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 COVID-19.In 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 12.The culmination of existing patients is expected to occur three days subsequent to this peak.Effective 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 17,2022.The traditional disease surveillance systems should be complemented with information from modern surveillance data such as online data sources with advanced technical support.Modern surveillance channels should be used primarily in emerging infectious and disease outbreaks.Syndrome surveillance on COVID-19 should be established to following on the epidemic,clinical severity,and medical resource demand.
