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Liu Y, Liu T, Yao M, Wang Q, Li R, Kou Z. Coverage of influenza vaccination and influencing factors among healthcare workers in Shandong Province, China, 2021-2022. Hum Vaccin Immunother 2024; 20:2402116. [PMID: 39279572 PMCID: PMC11407383 DOI: 10.1080/21645515.2024.2402116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/18/2024] Open
Abstract
Healthcare workers (HCWs) are at increased risk of exposure to the influenza virus in their daily clinical and disease prevention activities, making them a high-risk group for influenza infection. However, the vaccination rate among HCWs has always been low. This study investigated influenza vaccination uptake and willingness among HCWs in the context of the COVID-19 pandemic. The analysis revealed that the influenza vaccination uptake among HCWs was 67.5%, with 79.6% willing to receive the influenza vaccine in 2022/2023 A significant majority (92.7%) agreed that the COVID-19 pandemic increased their willingness to receive the influenza vaccine, and 94.8% agreed with the necessity of receiving the influenza vaccine even after COVID-19 vaccination. Binary logistic regression model identified key factors that influence vaccination intentions. HCWs who perceived a high risk of influenza and its threat to health, found vaccination convenient, and believed in the safety of the influenza vaccine were more likely to be vaccinated. Conversely, the high price of the influenza vaccine was a barrier, whereas those who considered the vaccine affordable were more likely to be vaccinated. Although Changchun Changsheng vaccine incident (The Changchun Changsheng Biotechnology Company was found to have violated good manufacturing practices in 2018, leading to widespread distribution of subpotent vaccines in China.) may not significantly impact the vaccination uptake among healthcare workers, some HCWs still harbor doubts about vaccine safety, which remains a key reason for vaccine hesitancy. This study emphasizes the importance of the strict monitoring and management of vaccines, conducting clinical studies to support vaccine safety, and implementing free influenza vaccine policies, workplace vaccination requirements, and organized mass vaccinations. Educational efforts to increase HCWs' understanding of influenza and influenza vaccines are crucial to increasing vaccination uptake. Furthermore, implementing comprehensive intervention measures is essential to effectively improve the influenza vaccination uptake.
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Affiliation(s)
- Yuwei Liu
- College of Public Health, Shandong Second Medical University, Shandong, China
| | - Ti Liu
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Mingxiao Yao
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
| | - Qiang Wang
- College of Public Health, Shandong Second Medical University, Shandong, China
| | - Renpeng Li
- Shandong Provincial Center for Health Science & Technology and Talents Development, Shandong, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Prevention and Control, Jinan, China
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Zeng Z, Liu Y, Jin W, Liang J, Chen J, Chen R, Li Q, Guan W, Liang L, Wu Q, Lai Y, Deng X, Lin Z, Hon C, Yang Z. Molecular epidemiology and phylogenetic analysis of influenza viruses A (H3N2) and B/Victoria during the COVID-19 pandemic in Guangdong, China. Infect Dis Poverty 2024; 13:56. [PMID: 39090685 PMCID: PMC11295596 DOI: 10.1186/s40249-024-01218-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 06/21/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Non-pharmaceutical measures and travel restrictions have halted the spread of coronavirus disease 2019 (COVID-19) and influenza. Nonetheless, with COVID-19 restrictions lifted, an unanticipated outbreak of the influenza B/Victoria virus in late 2021 and another influenza H3N2 outbreak in mid-2022 occurred in Guangdong, southern China. The mechanism underlying this phenomenon remains unknown. To better prepare for potential influenza outbreaks during COVID-19 pandemic, we studied the molecular epidemiology and phylogenetics of influenza A(H3N2) and B/Victoria that circulated during the COVID-19 pandemic in this region. METHODS From January 1, 2018 to December 31, 2022, we collected throat swabs from 173,401 patients in Guangdong who had acute respiratory tract infections. Influenza viruses in the samples were tested using reverse transcription-polymerase chain reaction, followed by subtype identification and sequencing of hemagglutinin (HA) and neuraminidase (NA) genes. Phylogenetic and genetic diversity analyses were performed on both genes from 403 samples. A rigorous molecular clock was aligned with the phylogenetic tree to measure the rate of viral evolution and the root-to-tip distance within strains in different years was assessed using regression curve models to determine the correlation. RESULTS During the early period of COVID-19 control, various influenza viruses were nearly undetectable in respiratory specimens. When control measures were relaxed in January 2020, the influenza infection rate peaked at 4.94% (39/789) in December 2021, with the influenza B/Victoria accounting for 87.18% (34/39) of the total influenza cases. Six months later, the influenza infection rate again increased and peaked at 11.34% (255/2248) in June 2022; influenza A/H3N2 accounted for 94.51% (241/255) of the total influenza cases in autumn 2022. The diverse geographic distribution of HA genes of B/Victoria and A/H3N2 had drastically reduced, and most strains originated from China. The rate of B/Victoria HA evolution (3.11 × 10-3, P < 0.05) was 1.7 times faster than before the COVID-19 outbreak (1.80 × 10-3, P < 0.05). Likewise, the H3N2 HA gene's evolution rate was 7.96 × 10-3 (P < 0.05), which is 2.1 times faster than the strains' pre-COVID-19 evolution rate (3.81 × 10-3, P < 0.05). CONCLUSIONS Despite the extraordinarily low detection rate of influenza infection, concealed influenza transmission may occur between individuals during strict COVID-19 control. This ultimately leads to the accumulation of viral mutations and accelerated evolution of H3N2 and B/Victoria viruses. Monitoring the evolution of influenza may provide insights and alerts regarding potential epidemics in the future.
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Affiliation(s)
- Zhiqi Zeng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510180, P.R. China
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, People's Republic of China
- Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications, Faculty of Innovative Engineering, Macau University of Science and Technology, Macau SAR, China
| | - Yong Liu
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, People's Republic of China
- Kingmed Virology Diagnostic and Translational Center, Guangzhou Kingmed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Wenxiang Jin
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, People's Republic of China
- Kingmed Virology Diagnostic and Translational Center, Guangzhou Kingmed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Jingyi Liang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510180, P.R. China
- Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China
| | - Jinbin Chen
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Ruihan Chen
- Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China
| | - Qianying Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510180, P.R. China
| | - Wenda Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510180, P.R. China
| | - Lixi Liang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510180, P.R. China
| | - Qiubao Wu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510180, P.R. China
| | - Yuanfang Lai
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Xiaoyan Deng
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, People's Republic of China.
| | - Zhengshi Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510180, P.R. China.
- Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications, Faculty of Innovative Engineering, Macau University of Science and Technology, Macau SAR, China.
| | - Chitin Hon
- Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China.
- Guangzhou Laboratory, Guangzhou, China.
| | - Zifeng Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, 510180, P.R. China.
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, People's Republic of China.
- Guangzhou Laboratory, Guangzhou, China.
- Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications, Faculty of Innovative Engineering, Macau University of Science and Technology, Macau SAR, China.
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Yang T, Tang L, Li P, Li B, Ye L, Zhou J. Effectiveness of inactivated influenza vaccine against laboratory-confirmed influenza among Chinese elderly: a test-negative design. BMC Geriatr 2024; 24:404. [PMID: 38714944 PMCID: PMC11077745 DOI: 10.1186/s12877-024-05003-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 04/22/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Evidence on the effectiveness of influenza vaccination in the elderly is limited, and results are controversial. There are also few reports from China. METHODS We conducted a test-negative case-control study design to estimate influenza vaccine effectiveness (VE) against laboratory-confirmed influenza-associated visits among elderly (aged ≥ 60 years) across four influenza seasons in Ningbo, China, from 2018 to 19 to 2021-22. Influenza-positive cases and negative controls were randomly matched in a 1:1 ratio according to age, sex, hospital, and date of influenza testing. We used logistic regression models to compare vaccination odds ratios (ORs) in cases to controls. We calculated the VE as [100% × (1-adjusted OR)] and calculated the 95% confidence interval (CI) around the estimate. RESULTS A total of 30,630 elderly patients tested for influenza with virus nucleic acid or antigen during the study period. After exclusions, we included 1 825 influenza-positive cases and 1 825 influenza-negative controls. Overall, the adjusted VE for influenza-related visits was 63.5% (95% CI, 56.3-69.5%), but varied by season. Influenza VE was 59.8% (95% CI, 51.5-66.7%) for influenza A and 89.6% (95% CI, 77.1-95.3%) for influenza B. The VE for ages 60-69 and 70-79 was 65.2% (95% CI, 55.4-72.9%) and 69.8% (95% CI, 58.7-77.9%), respectively, but only 45.4% (95% CI, 6.2-68.2%) for ages 80 and over. CONCLUSIONS Standard-dose inactivated influenza vaccine has shown good protection in the elderly in China. However, protection may not be satisfactory in people aged 80 years and older.
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Affiliation(s)
- Tianchi Yang
- Institute of Immunization and Prevention, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Ling Tang
- Ningbo Health Information Center, Ningbo, Zhejiang, China
| | - Pingping Li
- Jiangbei District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Baojun Li
- Haishu District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Lixia Ye
- Institute of Immunization and Prevention, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, Zhejiang, China.
| | - Jifang Zhou
- School of International Pharmaceutical Business, China Pharmaceutical University, Jiangsu, China.
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Luo X, Han S, Wang Y, Du P, Li X, Thai PK. Significant differences in usage of antibiotics in three Chinese cities measured by wastewater-based epidemiology. WATER RESEARCH 2024; 254:121335. [PMID: 38417269 DOI: 10.1016/j.watres.2024.121335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 02/08/2024] [Accepted: 02/17/2024] [Indexed: 03/01/2024]
Abstract
Antibiotic use, particularly inappropriate use by irrational prescribing or over-the-counter purchases, is of great concern for China as it facilitates the spread of antibiotic resistances. In this study, we applied wastewater-based epidemiology (WBE) to monitor the total consumption of eight common antibiotics in three cities in northern, eastern and southern China. Wastewater samples were successively collected from 17 wastewater treatment plants including weekdays and weekends spanning four seasons between 2019 and 2021. The concentration of antibiotics and their corresponding metabolites showed a significant correlation, confirming the measured antibiotics were actually consumed. Different seasonal trends in antibiotic use were found among the cities. It was more prevalent in the winter in the northern city Beijing, with the high antibiotic consumption attributed to peak influenza occurrence in the city. This is clear evidence of irrational prescription of antibiotics since it's known that antibiotics do little to treat influenza. In terms of overall consumption, Foshan is significantly lower, thanks to warmer climate and higher use of herbal tea as a prevention measure. WBE estimates of antibiotic consumption were relatively comparable with other data sources, with azithromycin as the top antibiotic measured here. The studied cities had higher WBE estimated antibiotics consumption than results of previous studies in the literature. Monitoring antibiotic use in different areas and periods through WBE in combination with complementary information, can better inform appropriate antibiotic guideline policies in various regions and nations.
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Affiliation(s)
- Xiaozhe Luo
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, PR China
| | - Sheng Han
- Fujian Water Resource Investment and Development Group Co., Ltd., 350001, Fuzhou, China
| | - Yue Wang
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, PR China
| | - Peng Du
- Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, PR China.
| | - Xiqing Li
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, PR China
| | - Phong K Thai
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Brisbane, Queensland 4102, Australia
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Oliveira Correa JD, Chies JAB. The COVID-19 Pandemic Affected Hepatitis C Virus Circulation and Genotypic Frequencies-Implications for Hepatitis C Prevention, Treatment and Research. EPIDEMIOLOGIA 2024; 5:160-166. [PMID: 38651388 PMCID: PMC11036259 DOI: 10.3390/epidemiologia5020011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/27/2024] [Accepted: 03/29/2024] [Indexed: 04/25/2024] Open
Abstract
Hepatitis C is regarded as a global health issue caused by hepatitis C virus (HCV) infection. HCV is targeted for elimination by 2030 as a global public health goal. However, the COVID-19 pandemic has changed human circulation and prevented access to diagnostics and treatment to many other diseases, including hepatitis C. COVID-19 impacted HCV global elimination efforts with implications not fully comprehended yet. The high genetic variability in HCV makes the development of vaccines and pan-genotypic drug therapies a difficult task. Changes in the dynamics of HCV impose new challenges for public health and opportunities for future research. Meta-analysis, the follow up of new cases and sampling of HCV patients compared with previously available data are options for investigating the possible changes. The determination of HCV genotypes and subtypes is important for understanding viral dynamics and treatment; therefore, the changes in genotype and subtype prevalences can directly affect such processes. Recent results in the literature already suggest changes in HCV dynamics during the COVID-19 pandemic, both considering viral circulation and differential genotypic frequencies in distinct geographic areas. In this context, we propose a further examination of these trends using different approaches to provide support for the hypothesis that the COVID-19 pandemic affected HCV circulation, since these findings would have important implications for hepatitis C prevention, treatment and research.
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Affiliation(s)
| | - José Artur Bogo Chies
- Post-Graduation Program in Genetics and Molecular Biology, Biosciences Institute, Federal University of Rio Grande do (UFRGS), Av. Bento Gonçalves, 9500, Campus do Vale Prédio 43323, Porto Alegre 91501-970, Brazil;
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Li Y, Yu J, Wang Y, Yi J, Guo L, Wang Q, Zhang G, Xu Y, Zhao Y. Cocirculation and coinfection of multiple respiratory viruses during autumn and winter seasons of 2023 in Beijing, China: A retrospective study. J Med Virol 2024; 96:e29602. [PMID: 38597349 DOI: 10.1002/jmv.29602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 03/26/2024] [Accepted: 04/03/2024] [Indexed: 04/11/2024]
Abstract
China experienced severe epidemics of multiple respiratory pathogens in 2023 after lifting "Zero-COVID" policy. The present study aims to investigate the changing circulation and infection patterns of respiratory pathogens in 2023. The 160 436 laboratory results of influenza virus and respiratory syncytial virus (RSV) from February 2020 to December 2023, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from June 2020 to December 2023, Mycoplasma pneumoniae, adenovirus, and human rhinovirus from January 2023 to December 2023 were analyzed. We observed the alternating epidemics of SARS-CoV-2 and influenza A virus (IAV), as well as the out-of-season epidemic of RSV during the spring and summer of 2023. Cocirculation of multiple respiratory pathogens was observed during the autumn and winter of 2023. The susceptible age range of RSV in this winter epidemic (10.5, interquartile range [IQR]: 5-30) was significantly higher than previously (4, IQR: 3-34). The coinfection rate of IAV and RSV in this winter epidemic (0.695%) was significantly higher than that of the last cocirculation period (0.027%) (p < 0.001). Similar trend was also found in the coinfection of IAV and SARS-CoV-2. The present study observed the cocirculation of multiple respiratory pathogens, changing age range of susceptible population, and increasing coinfection rates during the autumn and winter of 2023, in Beijing, China.
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Affiliation(s)
- Yi Li
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China
| | - Jinhan Yu
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China
| | - Yao Wang
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China
| | - Jie Yi
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China
| | - Lina Guo
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China
| | - Qing Wang
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China
| | - Ge Zhang
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China
| | - Yingchun Xu
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China
| | - Ying Zhao
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing, China
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Wang Y, Liu Y, Wang Y, Mai H, Chen Y, Zhang Y, Ji Y, Cong X, Gao Y. Clinical characteristics of outpatients with influenza-B-associated pneumonia and molecular evolution of influenza B virus in Beijing, China, during the 2021-2022 influenza season. Arch Virol 2024; 169:30. [PMID: 38233704 PMCID: PMC10794387 DOI: 10.1007/s00705-023-05957-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/28/2023] [Indexed: 01/19/2024]
Abstract
We analyzed the clinical characteristics of outpatients with influenza-B-associated pneumonia during the 2021-2022 influenza season and analyzed the molecular epidemiology and evolution of influenza B virus. The presence of influenza B virus was confirmed by reverse transcription polymerase chain reaction (RT-PCR). Electronic medical records were used to collect and analyze data of outpatients. The HA and NA genes were phylogenetically analyzed using ClustalW 2.10 and MEGA 11.0. Out of 1569 outpatients who tested positive for influenza B virus, 11.7% (184/1569) developed pneumonia, and of these, 19.0% (35/184) had underlying diseases. Fever, cough, and sore throat were the most common symptoms. Among the complications, acute respiratory distress syndrome (ARDS), acute kidney injury (AKI), and shock accounted for 2.7% (5/184), 4.9% (9/184), and 1.6% (3/184), respectively. Of the outpatients, 2.7% (5/184) were admitted to the hospital, and 0.5% (1/184) of them died. All of the strains from Beijing were identified as belonging to the B/Victoria lineage. The HA and NA gene sequences of 41 influenza B viruses showed high similarity to each other, and all of them belonged to clade 1A.3. Compared with the vaccine strain B/Washington/02/2019, all of the isolates contained N150K, G181E, and S194D mutations. S194D, E195K, and K200R mutations were detected in the 190 helix of the receptor binding region of HA. Co-mutations of H122Q, A127T, P144L, N150K, G181E, S194D, and K200R in HA and D53N, N59S, and G233E in NA were detected in 78.0% (32/41) of the isolates, and 56.3% (18/32) of these were from outpatients with influenza-B-associated pneumonia. Influenza outpatients with underlying diseases were more likely to develop pneumonia. No significant differences were observed in clinical symptoms or laboratory results between outpatients with and without pneumonia, so testing for influenza virus seems to be a good choice. The observed amino acid variations suggest that current vaccines might not provide effective protection.
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Affiliation(s)
- Yanxin Wang
- Department of Infectious Diseases, Peking University People's Hospital, Beijing, China
| | - Yafen Liu
- Department of Infectious Diseases, Peking University People's Hospital, Beijing, China
| | - Yue Wang
- Department of Infectious Diseases, Peking University People's Hospital, Beijing, China
| | - Huan Mai
- Department of Infectious Diseases, Peking University People's Hospital, Beijing, China
| | - Yuanyuan Chen
- Department of Infectious Diseases, Peking University People's Hospital, Beijing, China
| | - Yifan Zhang
- Department of Infectious Diseases, Peking University People's Hospital, Beijing, China
| | - Ying Ji
- Peking University Hepatology Institute, Peking University People's Hospital, Beijing, China
| | - Xu Cong
- Peking University Hepatology Institute, Peking University People's Hospital, Beijing, China
| | - Yan Gao
- Department of Infectious Diseases, Peking University People's Hospital, Beijing, China.
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8
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Zhang Y, Huang X, Zhang J, Tao Z. Risk factors for hospitalization and pneumonia development of pediatric patients with seasonal influenza during February-April 2023. Front Public Health 2024; 11:1300228. [PMID: 38249383 PMCID: PMC10797015 DOI: 10.3389/fpubh.2023.1300228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 12/15/2023] [Indexed: 01/23/2024] Open
Abstract
Objectives In China influenza remains a low activity for continuous 3 years due to COVID-19 controls. We here sought to study the clinical characteristics and risk factors of the influenza infection among children after the mandatory COVID-19 restrictions were lifted. Methods We included 1,006 pediatric patients with influenza A virus (IAV) infection, enrolled in one tertiary hospital in Zhenjiang, Jiangsu Province, China, during February to April 2023. Patients were divided into the outpatient (n = 798) and inpatient (n = 208) groups, and their baseline characteristics were compared between two groups to conclude the risk factors for pediatric hospitalization. Separately, pediatric inpatients (n = 208) were further divided into the pneumonia and non-pneumonia groups with comparison of their clinical characteristics, including their laboratory test results and representative radiological features, to derive the key determinants for pneumonia development after hospitalization. Results Compared to outpatients, IAV-infected pediatric inpatients exhibited younger age, higher female: male ratio, more co-infection of influenza B virus (IBV) and hematological abnormality. Multivariate regression analysis determined the independent risk factors of hospitalization to be the clinical symptom of abdominal pain (OR = 2.63, [95% CI, 1.05-6.57], p = 0.039), co-infection of IBV (OR = 44.33, [95% CI, 25.10-78.30], p = 0.001), elevated levels of lymphocytes (OR = 2.24, [95% CI,1.65-3.05], p = 0.001) and c-reactive proteins (CRPs) (OR = 1.06, [95% CI, 1.03-1.08], p = 0.001) upon hospital admission. Furthermore, the cough symptom (OR = 17.39, [95% CI, 3.51-86.13], p = 0.001) and hospitalization length (OR = 1.36, [95% CI, 1.12-1.67], p = 0.002) were determined to be risk factors of pneumonia acquirement for pediatric inpatients. Conclusion While the abdominal pain, viral co-infection and some hematological abnormality mainly contribute to hospitalization of pediatric patients with IAV infection, the length of hospital stay and clinical sign of coughing upon hospital admission constitute the key determinants for nosocomial pneumonia development.
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Affiliation(s)
- Yuqian Zhang
- Department of Emergency Medicine, The Affiliated Hospital, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Xing Huang
- Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jianguo Zhang
- Department of Emergency Medicine, The Affiliated Hospital, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Zhimin Tao
- Department of Emergency Medicine, The Affiliated Hospital, Jiangsu University, Zhenjiang, Jiangsu, China
- Jiangsu Province Key Laboratory of Medical Science and Laboratory Medicine, Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China
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9
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Bin Saleh K, Badreldin HA, Alqahtani T, Alsuhebany N, Alowais SA, Sulaiman KA, Alrashed M, Alsaeed Y, Alyousef A, Aldugiem R, Aljuhani O, Alharbi N, Alghnam S, Almotiri A, Zowawi HM, Alshehri N, Johani SA, Bosaeed M. Assessing the influence of COVID-19 on influenza prevalence: A multicenter time series study. J Infect Public Health 2023; 16:1989-1993. [PMID: 37879151 DOI: 10.1016/j.jiph.2023.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 09/21/2023] [Accepted: 09/27/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND During the COVID-19 pandemic, countries around the world implemented various interventions to manage the spread of respiratory illnesses, including influenza. However, there is a lack of studies that have assessed the influence of COVID-19 on influenza prevalence in Saudi Arabia. In this study, we aimed to evaluate the prevalence of positive influenza cases before and during the COVID-19 pandemic in relation to the mitigation measures and policy initiatives in Saudi Arabia. METHODS A multicenter, time-series cross-sectional study was conducted to evaluate influenza prevalence before and during the COVID-19 pandemic between 01/01/2017 and 31/12/2021. This study included all patients who were screened for influenza infection at healthcare facilities across Saudi Arabia using polymerase chain reaction (PCR). The primary outcome was to determine the prevalence of influenza infections before and during the COVID-19 pandemic, while the secondary outcome was to describe the demographic data and comorbidities of the included patients in both periods. RESULTS During the study period, 5238 cases were identified based on a positive PCR result for influenza virus. The yearly number of influenza cases in the pre-COVID-19 period was 1123 (2.03 %), 1075 (1.63 %), and 1883 (2.20 %) cases in 2017, 2018, and 2019, respectively. On the other hand, the number of cases during the COVID-19 pandemic was 417 (0.63 %) and 740 (1.27 %) in 2020 and 2021, respectively, with a comparable number of performed tests. Patients infected with the influenza virus between 2020 and 2021 were older than patients who were infected before the COVID-19 pandemic. CONCLUSION The study found a lower number of influenza cases during the COVID-19 pandemic, with no clear peak during November and December 2020 and 2021.
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Affiliation(s)
- Khalid Bin Saleh
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia.
| | - Hisham A Badreldin
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Tariq Alqahtani
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Nada Alsuhebany
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Shuroug A Alowais
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Khalid Al Sulaiman
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia; Saudi Critical Care Pharmacy Research (SCAPE) Platform, Riyadh, Saudi Arabia
| | - Mohammed Alrashed
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Yara Alsaeed
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | | | - Rema Aldugiem
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Ohoud Aljuhani
- Department of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Naif Alharbi
- Gulf Center for Disease Prevention and Control, Saudi Arabia
| | - Suliman Alghnam
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Ahmed Almotiri
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Hosam M Zowawi
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | | | - Sameera Al Johani
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Mohammad Bosaeed
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; King Abdulaziz Medical City, Riyadh, Saudi Arabia
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Tan J, Liang L, Huang P, Ibrahim AA, Huang Z, Zhao W, Zou L. Changes in Influenza Activities Impacted by NPI Based on 4-Year Surveillance in China: Epidemic Patterns and Trends. J Epidemiol Glob Health 2023; 13:539-546. [PMID: 37535238 PMCID: PMC10468473 DOI: 10.1007/s44197-023-00134-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 06/14/2023] [Indexed: 08/04/2023] Open
Abstract
BACKGROUND Since the Non-pharmaceutical Intervention (NPI) by COVID-19 emerged, influenza activity has been somewhat altered. OBJECTIVES The aim of this study was to explore changes in influenza activities in the context of COVID-19 based on the sentinel hospitals/units in Guangdong, southern China. METHODS The surveillance data in influenza-like illness (ILI) were collected from 21 cities in Guangdong between September 2017 and August 2021, while 43 hospitals/units were selected to analyze the predominant types of influenza, population characteristics, and seasonal features by three methods (the concentration ratio, the seasonal index, and the circulation distribution), based on a descriptive epidemiological approach. RESULTS During the four consecutive influenza seasons, a total of 157345 ILIs were tested, of which 9.05% were positive for influenza virus (n = 14238), with the highest positive rates for both IAV (13.20%) and IBV (5.41%) in the 2018-2019 season. After the emergence of COVID-19, influenza cases decreased near to zero from March 2020 till March 2021, and the dominant type of influenza virus changed from IAV to IBV. The highest positive rate of influenza existed in the age-group of 5 ~ < 15 years in each season for IAV (P < 0.001), which was consistent with that for IBV (P < 0.001). The highest annual positive rates for IBV emerged in eastern Guangdong, while the highest annual positive rates of IAV in different seasons existed in different regions. Furthermore, compared with the epidemic period (ranged from December to June) during 2017-2019, the period ended three months early (March 2020) in 2019-2020, and started by five months behind (April 2021) during 2020-2021. CONCLUSION The highest positive rates in 5 ~ < 15 age-group suggested the susceptible in this age-group mostly had infected with infected B/Victoria. Influenced by the emergence of COVID-19 and NPI responses, the epidemic patterns and trends of influenza activities have changed in Guangdong, 2017-2021.
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Affiliation(s)
- Jing Tan
- a. Guangdong Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, b. Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Center for Disease Control and Prevention, Guangzhou, 511430, China
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Lijun Liang
- a. Guangdong Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, b. Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Ping Huang
- a. Guangdong Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, b. Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Center for Disease Control and Prevention, Guangzhou, 511430, China.
- School of Public Health, Southern Medical University, Guangzhou, 510515, China.
| | - Abrar A Ibrahim
- a. Guangdong Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, b. Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Center for Disease Control and Prevention, Guangzhou, 511430, China
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Zhongzhou Huang
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
- Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Wei Zhao
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Lirong Zou
- a. Guangdong Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, b. Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Center for Disease Control and Prevention, Guangzhou, 511430, China
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11
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Zhu AQ, Li ZJ, Zhang HJ. Spatial timing of circulating seasonal influenza A and B viruses in China from 2014 to 2018. Sci Rep 2023; 13:7149. [PMID: 37130872 PMCID: PMC10154288 DOI: 10.1038/s41598-023-33726-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 04/18/2023] [Indexed: 05/04/2023] Open
Abstract
Major outbreaks of influenza virus occurred in China in 2017-2018. To describe the pattern of influenza circulation and timing of seasonal epidemics, we analyzed data from influenza-like illness (ILI) specimens on surveillance wards of sentinel hospitals during 2014-2018. Among 1,890,084 ILI cases, 324,211 (17.2%) tested positive for influenza. Influenza A virus (particularly A/H3N2), which circulates annually, was detected in 62% of cases, compared with influenza B virus in 38% of cases. The detection rate of A/H1N1, A/H3N2, B/Victoria, and B/Yamagata viruses were 3.56%, 7.07%, 2.08%, and 3.45%, respectively. Influenza prevalence was generally stable over the four years analyzed, but obvious outbreaks occurred in 2015-2016 (17.28%) and 2017-2018 (22.67%), with B/Victoria and B/Yamagata contributing to these outbreaks, respectively. In the south, a characteristic peak in infections was detected in the summer (week 23-38), which was not detected in the north. Influenza B was found high frequency in school-age children (5-14 years) with 4.78% of B/Victoria and 6.76% of B/Yamagata. Therefore, the epidemiological characteristics of seasonal influenza were complex in China during 2014-2018, presenting distinctions in region, season, and susceptible population. These findings underline the importance of enhancing year-round influenza surveillance and provide a reference for the timing and variety of influenza vaccination.
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Affiliation(s)
- Ai-Qin Zhu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, People's Republic of China
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning On Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, 102200, People's Republic of China
| | - Zhong-Jie Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning On Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, 102200, People's Republic of China
| | - Hang-Jie Zhang
- The Center for Disease Control and Prevention of Zhejiang Province, Hangzhou, Zhejiang, 310051, People's Republic of China.
- Chinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention, Beijing, 102200, People's Republic of China.
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12
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Xu M, Cai T, Yue T, Zhang P, Huang J, Liu Q, Wang Y, Luo R, Li Z, Luo L, Ji C, Tan X, Zheng Y, Whitley R, De Clercq E, Yin Q, Li G. Comparative effectiveness of oseltamivir versus peramivir for hospitalized children (aged 0-5 years) with influenza infection. Int J Infect Dis 2023; 128:157-165. [PMID: 36608788 DOI: 10.1016/j.ijid.2022.12.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/21/2022] [Accepted: 12/28/2022] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVES The effectiveness of oseltamivir versus peramivir in children infected with influenza remains unclear. This study aimed to evaluate their effectiveness in young children (aged 0-5 years) infected with severe influenza A virus (IAV) or influenza B virus (IBV). METHODS We analyzed a cohort of 1662 young children with either IAV (N = 1095) or IBV (N = 567) who received oseltamivir or peramivir treatment from January 1, 2018 to March 31, 2022. Propensity score matching methods were applied to match children who were oseltamivir-treated versus peramivir-treated. RESULTS Children who were IAV-infected and IBV-infected shared similar features, such as influenza-associated symptoms and comorbidities at baseline. Among children infected with IAV with bacterial coinfection, the recovery rate was significantly greater in children treated with oseltamivir than in children treated with peramivir (15.6% vs 4.4%, P = 0.01). The median duration of hospitalization was also shorter in children treated with oseltamivir. Among children infected with IAV without bacterial coinfection, the recovery rate was greater in children treated with oseltamivir than in children treated with peramivir (21.1% vs 3.7%, P = 0.002). However, oseltamivir and peramivir offered similar recovery rates and duration of hospitalization (P >0.05 for both) among children infected with IBV. CONCLUSION Oseltamivir and peramivir exhibit similar effectiveness in young children with severe influenza B, whereas oseltamivir demonstrated improved recovery and shorter hospitalization in the treatment of severe influenza A in hospitalized children.
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Affiliation(s)
- Ming Xu
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China; Hunan Children's Hospital, Changsha, China
| | - Ting Cai
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Tingting Yue
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Pan Zhang
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Jie Huang
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Qi Liu
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yue Wang
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Ruping Luo
- Hunan Children's Hospital, Changsha, China
| | | | - Linli Luo
- Hunan Children's Hospital, Changsha, China
| | - Chunyi Ji
- Hunan Children's Hospital, Changsha, China
| | - Xinrui Tan
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yanling Zheng
- College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, People's Republic of China
| | - Richard Whitley
- Department of Pediatrics, Microbiology, Medicine and Neurosurgery, University of Alabama at Birmingham, Birmingham, USA
| | - Erik De Clercq
- Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium
| | - Qiang Yin
- Hunan Children's Hospital, Changsha, China.
| | - Guangdi Li
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China; Hunan Children's Hospital, Changsha, China.
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13
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Mak GCK, Lau SSY, Wong KKY, Lau AWL, Hung DLL. Low prevalence of seasonal influenza viruses in Hong Kong, 2022. Influenza Other Respir Viruses 2023; 17:e13123. [PMID: 36935847 PMCID: PMC10020920 DOI: 10.1111/irv.13123] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 02/22/2023] [Indexed: 03/19/2023] Open
Affiliation(s)
- Gannon C. K. Mak
- Microbiology Division, Public Health Laboratory Services BranchCentre for Health Protection, Department of HealthHong Kong Special Administrative RegionPeople's Republic of China
| | - Stephen S. Y. Lau
- Microbiology Division, Public Health Laboratory Services BranchCentre for Health Protection, Department of HealthHong Kong Special Administrative RegionPeople's Republic of China
| | - Kitty K. Y. Wong
- Microbiology Division, Public Health Laboratory Services BranchCentre for Health Protection, Department of HealthHong Kong Special Administrative RegionPeople's Republic of China
| | - Angela W. L. Lau
- Microbiology Division, Public Health Laboratory Services BranchCentre for Health Protection, Department of HealthHong Kong Special Administrative RegionPeople's Republic of China
| | - Derek L. L. Hung
- Microbiology Division, Public Health Laboratory Services BranchCentre for Health Protection, Department of HealthHong Kong Special Administrative RegionPeople's Republic of China
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14
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Chow EJ, Uyeki TM, Chu HY. The effects of the COVID-19 pandemic on community respiratory virus activity. Nat Rev Microbiol 2023; 21:195-210. [PMID: 36253478 PMCID: PMC9574826 DOI: 10.1038/s41579-022-00807-9] [Citation(s) in RCA: 132] [Impact Index Per Article: 132.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/13/2022] [Indexed: 01/14/2023]
Abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused substantial global morbidity and deaths, leading governments to turn to non-pharmaceutical interventions to slow down the spread of infection and lessen the burden on health care systems. These policies have evolved over the course of the COVID-19 pandemic, including after the availability of COVID-19 vaccines, with regional and country-level differences in their ongoing use. The COVID-19 pandemic has been associated with changes in respiratory virus infections worldwide, which have differed between virus types. Reductions in respiratory virus infections, including by influenza virus and respiratory syncytial virus, were most notable at the onset of the COVID-19 pandemic and continued in varying degrees through subsequent waves of SARS-CoV-2 infections. The decreases in community infection burden have resulted in reduced hospitalizations and deaths associated with non-SARS-CoV-2 respiratory infections. Respiratory virus evolution relies on the maintaining of a diverse genetic pool, but evidence of genetic bottlenecking brought on by case reduction during the COVID-19 pandemic has resulted in reduced genetic diversity of some respiratory viruses, including influenza virus. By describing the differences in these changes between viral species across different geographies over the course of the COVID-19 pandemic, we may better understand the complex factors involved in community co-circulation of respiratory viruses.
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Affiliation(s)
- Eric J Chow
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Timothy M Uyeki
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Helen Y Chu
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA.
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Korsun N, Trifonova I, Dobrinov V, Madzharova I, Grigorova I, Christova I. Low prevalence of influenza viruses and predominance of A(H3N2) virus with respect to SARS-CoV-2 during the 2021-2022 season in Bulgaria. J Med Virol 2023; 95:e28489. [PMID: 36832544 PMCID: PMC10107854 DOI: 10.1002/jmv.28489] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 01/04/2023] [Accepted: 01/09/2023] [Indexed: 01/24/2023]
Abstract
Social distancing, mask-wearing, and travel restrictions during the COVID-19 pandemic have significantly impacted the spread of influenza viruses. The objectives of this study were to analyze the pattern of influenza virus circulation with respect to that of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Bulgaria during the 2021-2022 season and to perform a phylogenetic/molecular analysis of the hemagglutinin (HA) and neuraminidase (NA) sequences of representative influenza strains. Influenza infection was confirmed using real-time reverse transcription polymerase chain reaction in 93 (4.2%) of the 2193 patients with acute respiratory illness tested wherein all detected viruses were subtyped as A(H3N2). SARS-CoV-2 was identified in 377 (24.3%) of the 1552 patients tested. Significant differences in the incidence of influenza viruses and SARS-CoV-2 were found between individual age groups, outpatients/inpatients, and in the seasonal distribution of cases. Two cases of coinfections were identified. In hospitalized patients, the Ct values of influenza viruses at admission were lower in adults aged ≥65 years (indicating higher viral load) than in children aged 0-14 years (p < 0.05). In SARS-CoV-2-positive inpatients, this association was not statistically significant. HA genes of all A(H3N2) viruses analyzed belonged to subclade 3C.2a1b.2a. The sequenced viruses carried 11 substitutions in HA and 5 in NA, in comparison to the vaccine virus A/Cambodia/e0826360/2020, including several substitutions in the HA antigenic sites B and C. This study revealed extensive changes in the typical epidemiology of influenza infection, including a dramatic reduction in the number of cases, diminished genetic diversity of circulating viruses, changes in age, and seasonal distribution of cases.
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Affiliation(s)
- Neli Korsun
- National Laboratory "Influenza and ARI", Department of Virology, National Center of Infectious and Parasitic Diseases, Sofia, Bulgaria
| | - Ivelina Trifonova
- National Laboratory "Influenza and ARI", Department of Virology, National Center of Infectious and Parasitic Diseases, Sofia, Bulgaria
| | - Veselin Dobrinov
- National Laboratory "Influenza and ARI", Department of Virology, National Center of Infectious and Parasitic Diseases, Sofia, Bulgaria
| | - Iveta Madzharova
- National Laboratory "Influenza and ARI", Department of Virology, National Center of Infectious and Parasitic Diseases, Sofia, Bulgaria
| | - Iliyana Grigorova
- National Laboratory "Influenza and ARI", Department of Virology, National Center of Infectious and Parasitic Diseases, Sofia, Bulgaria
| | - Iva Christova
- National Laboratory "Influenza and ARI", Department of Virology, National Center of Infectious and Parasitic Diseases, Sofia, Bulgaria
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16
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Chen Y, Xiao Y, Ye Y, Jiang F, He H, Luo L, Chen H, Shi L, Mu Q, Chen W, Guo X, Zhang M, Li J, Guan Q, Chen Z, Yang X. Immunogenicity and safety of an inactivated enterovirus 71 vaccine coadministered with trivalent split-virion inactivated influenza vaccine: A phase 4, multicenter, randomized, controlled trial in China. Front Immunol 2022; 13:1080408. [PMID: 36569946 PMCID: PMC9772018 DOI: 10.3389/fimmu.2022.1080408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
Background Few data exist on the immunogenicity and safety of an inactivated enterovirus 71 vaccine (EV71 vaccine) coadministered with trivalent split-virion inactivated influenza vaccine (IIV3) in infants. Methods This trial was a phase 4, randomized, controlled trial. Infants aged 6-11 months were eligible, with no history of hand, foot and mouth disease (HFMD) and no history of EV71 vaccine or any influenza vaccine. Eligible infants were randomly assigned to EV71+IIV3 group, EV71 group or IIV3 group. Blood samples were collected on day 0 and 56. Results Between September 2019 and June 2020, 1151 infants met eligibility criteria and 1134 infants were enrolled. 1045 infants were included in the per-protocol population, including 347 in the EV71+IIV3 group, 343 in the EV71 group, and 355 in the IIV3 group. The seroconversion rate (98.56% vs 98.54%; seroconversion rates difference of 0.02% [95% CI: 0.70-0.98]) and GMT (419.05 vs 503.72; GMT ratio of 0.83 [95% CI 0.70 - 0.98]) of EV71 neutralizing antibodies in the EV71+IIV3 group was not inferior to those in the EV71 group. The non-inferiority results for influenza virus antibodies (A/H1N1, A/H3N2 and B) showed that the seroconversion rates and GMTs of the EV71+IIV3 group were non-inferiority to those of the IIV3 group. Systemic and local adverse event rates were similar between groups. None of serious adverse events (SAEs) were related to vaccination. Conclusions Coadministration of the EV71 vaccine with IIV3 was safe and did not interfere with immunogenicity. These findings support a viable immunization strategy for infants with the EV71 vaccine coadministered with IIV3 in China. This trial is registered with ClinicalTrials.gov, number NCT04091880.
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Affiliation(s)
- Yaping Chen
- Immunization Programme Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Yanhui Xiao
- Medical Affairs Department, China National Biotec Group Company Limited, Beijing, China
| | - Ying Ye
- Institute for Communicable Disease Control and Prevention, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, Henan, China
| | - Feng Jiang
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, China
| | - Hanqing He
- Immunization Programme Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Linyun Luo
- Medical Affairs Department, China National Biotec Group Company Limited, Beijing, China
| | - Haiping Chen
- Medical Affairs Department, China National Biotec Group Company Limited, Beijing, China
| | - Lubin Shi
- Institute of Expanded Programme on Immunization, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, Henan, China
| | - Qiuyue Mu
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, China
| | - Wei Chen
- Medical Affairs Department, Wuhan Institute of Biological Products Company Limited, Wuhan, Hubei, China
| | - Xue Guo
- Medical Affairs Department, Changchun Institute of Biological Products Company Limited, Changchun, Jilin, China
| | - Min Zhang
- Medical Affairs Department, China National Biotec Group Company Limited, Beijing, China
| | - Jun Li
- Institute of Expanded Programme on Immunization, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, Henan, China
| | - Qinghu Guan
- Institute of Expanded Programme on Immunization, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, China
| | - Zhiping Chen
- Immunization Programme Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China,*Correspondence: Xiaoming Yang, ; Zhiping Chen,
| | - Xiaoming Yang
- Medical Affairs Department, China National Biotec Group Company Limited, Beijing, China,Research and Development Department, National Engineering Technology Research Center for Combined Vaccines, Wuhan Institute of Biological Products Company Limited, Wuhan, Hubei, China,*Correspondence: Xiaoming Yang, ; Zhiping Chen,
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17
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Zhang J, Nian X, Li X, Huang S, Duan K, Li X, Yang X. The Epidemiology of Influenza and the Associated Vaccines Development in China: A Review. Vaccines (Basel) 2022; 10:1873. [PMID: 36366381 PMCID: PMC9692979 DOI: 10.3390/vaccines10111873] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/28/2022] [Accepted: 11/03/2022] [Indexed: 12/28/2023] Open
Abstract
Influenza prevention and control has been one of the biggest challenges encountered in the public health domain. The vaccination against influenza plays a pivotal role in the prevention of influenza, particularly for the elderly and small children. According to the epidemiology of influenza in China, the nation is under a heavy burden of this disease. Therefore, as a contribution to the prevention and control of influenza in China through the provision of relevant information, the present report discusses the production and batch issuance of the influenza vaccine, analysis of the vaccination status and vaccination rate of the influenza vaccine, and the development trend of the influenza vaccine in China.
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Affiliation(s)
- Jiayou Zhang
- National Engineering Technology Research Center for Combined Vaccines, Wuhan 430207, China
- Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China
| | - Xuanxuan Nian
- National Engineering Technology Research Center for Combined Vaccines, Wuhan 430207, China
- Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China
| | - Xuedan Li
- National Engineering Technology Research Center for Combined Vaccines, Wuhan 430207, China
- Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China
| | - Shihe Huang
- National Engineering Technology Research Center for Combined Vaccines, Wuhan 430207, China
- Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China
| | - Kai Duan
- National Engineering Technology Research Center for Combined Vaccines, Wuhan 430207, China
- Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China
| | - Xinguo Li
- National Engineering Technology Research Center for Combined Vaccines, Wuhan 430207, China
- Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China
| | - Xiaoming Yang
- National Engineering Technology Research Center for Combined Vaccines, Wuhan 430207, China
- Wuhan Institute of Biological Products Co., Ltd., Wuhan 430207, China
- China National Biotech Group Company Ltd., Beijing 100029, China
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18
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Li P, Liu X, Lang Y, Cui X, Shi Y. A Comparative Study of Severe and Critical Influenza B in Children in the 2021–2022 Winter Season. Int J Gen Med 2022; 15:7995-8001. [PMCID: PMC9635463 DOI: 10.2147/ijgm.s385307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 10/26/2022] [Indexed: 11/05/2022] Open
Affiliation(s)
- Pan Li
- Respiratory Department, Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
| | - Xinfeng Liu
- Respiratory Department, Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
| | - Yanmei Lang
- Respiratory Department, Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
| | - Xiaowei Cui
- Respiratory Department, Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
| | - Yanxi Shi
- Respiratory Department, Children’s Hospital of Hebei Province, Shijiazhuang, 050031, People’s Republic of China
- Correspondence: Yanxi Shi, Respiratory Department, Children’s Hospital of Hebei Province, 133 Jianhua South Street, Shijiazhuang, 050031, People’s Republic of China, Email
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19
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Epidemiological and virological surveillance of influenza viruses in China during 2020-2021. Infect Dis Poverty 2022; 11:74. [PMID: 35768826 PMCID: PMC9244124 DOI: 10.1186/s40249-022-01002-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/20/2022] [Indexed: 12/15/2022] Open
Abstract
Background During the coronavirus disease 2019 (COVID-19) pandemic, seasonal influenza activity declined globally and remained below previous seasonal levels, but intensified in China since 2021. Preventive measures to COVID-19 accompanied by different epidemic characteristics of influenza in different regions of the world. To better respond to influenza outbreaks under the COVID-19 pandemic, we analyzed the epidemiology, antigenic and genetic characteristics, and antiviral susceptibility of influenza viruses in the mainland of China during 2020–2021. Methods Respiratory specimens from influenza like illness cases were collected by sentinel hospitals and sent to network laboratories in Chinese National Influenza Surveillance Network. Antigenic mutation analysis of influenza virus isolates was performed by hemagglutination inhibition assay. Next-generation sequencing was used for genetic analyses. We also conducted molecular characterization and phylogenetic analysis of circulating influenza viruses. Viruses were tested for resistance to antiviral medications using phenotypic and/or sequence-based methods. Results In the mainland of China, influenza activity recovered in 2021 compared with that in 2020 and intensified during the traditional influenza winter season, but it did not exceed the peak in previous years. Almost all viruses isolated during the study period were of the B/Victoria lineage and were characterized by genetic diversity, with the subgroup 1A.3a.2 viruses currently predominated. 37.8% viruses tested were antigenically similar to reference viruses representing the components of the vaccine for the 2020–2021 and 2021–2022 Northern Hemisphere influenza seasons. In addition, China has a unique subgroup of 1A.3a.1 viruses. All viruses tested were sensitive to neuraminidase inhibitors and endonuclease inhibitors, except two B/Victoria lineage viruses identified to have reduced sensitivity to neuraminidase inhibitors. Conclusions Influenza activity increased in the mainland of China in 2021, and caused flu season in the winter of 2021–2022. Although the diversity of influenza (sub)type decreases, B/Victoria lineage viruses show increased genetic and antigenic diversity. The world needs to be fully prepared for the co-epidemic of influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus globally. Supplementary Information The online version contains supplementary material available at 10.1186/s40249-022-01002-x.
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20
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Gao GF, Liu WJ. Let's Get Vaccinated for Both Flu and COVID-19: On the World Flu Day 2021. China CDC Wkly 2021; 3:915-917. [PMID: 34745691 PMCID: PMC8563337 DOI: 10.46234/ccdcw2021.227] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 10/29/2021] [Indexed: 02/06/2023] Open
Affiliation(s)
- George F. Gao
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - William J. Liu
- Chinese Center for Disease Control and Prevention, Beijing, China
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