1
|
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.
Collapse
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.
| |
Collapse
|
2
|
Trifonova I, Korsun N, Madzharova I, Alexiev I, Ivanov I, Levterova V, Grigorova L, Stoikov I, Donchev D, Christova I. Epidemiological and Genetic Characteristics of Respiratory Viral Coinfections with Different Variants of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Viruses 2024; 16:958. [PMID: 38932250 PMCID: PMC11209099 DOI: 10.3390/v16060958] [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: 05/21/2024] [Revised: 06/07/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
This study aimed to determine the incidence and etiological, seasonal, and genetic characteristics of respiratory viral coinfections involving severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Between October 2020 and January 2024, nasopharyngeal samples were collected from 2277 SARS-CoV-2-positive patients. Two multiplex approaches were used to detect and sequence SARS-CoV-2, influenza A/B viruses, and other seasonal respiratory viruses: multiplex real-time polymerase chain reaction (PCR) and multiplex next-generation sequencing. Coinfections of SARS-CoV-2 with other respiratory viruses were detected in 164 (7.2%) patients. The most common co-infecting virus was respiratory syncytial virus (RSV) (38 cases, 1.7%), followed by bocavirus (BoV) (1.2%) and rhinovirus (RV) (1.1%). Patients ≤ 16 years of age had the highest rate (15%) of mixed infections. Whole-genome sequencing produced 19 complete genomes of seasonal respiratory viral co-pathogens, which were subjected to phylogenetic and amino acid analyses. The detected influenza viruses were classified into the genetic groups 6B.1A.5a.2a and 6B.1A.5a.2a.1 for A(H1N1)pdm09, 3C.2a1b.2a.2a.1 and 3C.2a.2b for A(H3N2), and V1A.3a.2 for the B/Victoria lineage. The RSV-B sequences belonged to the genetic group GB5.0.5a, with HAdV-C belonging to type 1, BoV to genotype VP1, and PIV3 to lineage 1a(i). Multiple amino acid substitutions were identified, including at the antibody-binding sites. This study provides insights into respiratory viral coinfections involving SARS-CoV-2 and reinforces the importance of genetic characterization of co-pathogens in the development of therapeutic and preventive strategies.
Collapse
Affiliation(s)
- Ivelina Trifonova
- Department of Virology, National Centre of Infectious and Parasitic Diseases, 1233 Sofia, Bulgaria; (N.K.); (I.M.); (I.A.); (L.G.); (I.C.)
| | - Neli Korsun
- Department of Virology, National Centre of Infectious and Parasitic Diseases, 1233 Sofia, Bulgaria; (N.K.); (I.M.); (I.A.); (L.G.); (I.C.)
| | - Iveta Madzharova
- Department of Virology, National Centre of Infectious and Parasitic Diseases, 1233 Sofia, Bulgaria; (N.K.); (I.M.); (I.A.); (L.G.); (I.C.)
| | - Ivailo Alexiev
- Department of Virology, National Centre of Infectious and Parasitic Diseases, 1233 Sofia, Bulgaria; (N.K.); (I.M.); (I.A.); (L.G.); (I.C.)
| | - Ivan Ivanov
- Department of Microbiology, National Centre of Infectious and Parasitic Diseases, 1504 Sofia, Bulgaria; (I.I.); (V.L.); (I.S.); (D.D.)
| | - Viktoria Levterova
- Department of Microbiology, National Centre of Infectious and Parasitic Diseases, 1504 Sofia, Bulgaria; (I.I.); (V.L.); (I.S.); (D.D.)
| | - Lyubomira Grigorova
- Department of Virology, National Centre of Infectious and Parasitic Diseases, 1233 Sofia, Bulgaria; (N.K.); (I.M.); (I.A.); (L.G.); (I.C.)
| | - Ivan Stoikov
- Department of Microbiology, National Centre of Infectious and Parasitic Diseases, 1504 Sofia, Bulgaria; (I.I.); (V.L.); (I.S.); (D.D.)
| | - Dean Donchev
- Department of Microbiology, National Centre of Infectious and Parasitic Diseases, 1504 Sofia, Bulgaria; (I.I.); (V.L.); (I.S.); (D.D.)
| | - Iva Christova
- Department of Virology, National Centre of Infectious and Parasitic Diseases, 1233 Sofia, Bulgaria; (N.K.); (I.M.); (I.A.); (L.G.); (I.C.)
- Department of Microbiology, National Centre of Infectious and Parasitic Diseases, 1504 Sofia, Bulgaria; (I.I.); (V.L.); (I.S.); (D.D.)
| |
Collapse
|
3
|
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.
Collapse
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
| |
Collapse
|
4
|
Lu Y, Chen Q, Ren S, Zhang Y, Yi L, Qian C, Shen J, Liu X, Jiang M, Wang B, Song J, Shao X, Zhang T, Tian J, Zhao G. Impact of COVID-19 Nonpharmaceutical Interventions on Respiratory Syncytial Virus Infections in Hospitalized Children. Influenza Other Respir Viruses 2024; 18:e13291. [PMID: 38653953 DOI: 10.1111/irv.13291] [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: 11/19/2023] [Revised: 03/14/2024] [Accepted: 03/22/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Nonpharmaceutical interventions (NPIs) targeted at SARS-CoV-2 have remarkably affected the circulation of other respiratory pathogens, including respiratory syncytial virus (RSV). This study aimed to assess the changes in epidemiological and clinical characteristics of RSV infections in hospitalized children before and during the pandemic in Suzhou, China. METHODS We prospectively enrolled children aged < 18 years who were hospitalized in Soochow University Affiliated Children's Hospital with acute lower respiratory infection (ALRIs) from January 2018 to July 2022. Changes in epidemiological and clinical characteristics of RSV infections were analyzed. RESULTS Compared with the same period in 2018-2019, the difference in the overall positive rate of RSV was not statistically significant in 2020, while it increased significantly in 2021 (11.8% [662/5621] vs. 20.8% [356/1711], p < 0.001) and 2022 (9.0% [308/3406] vs. 18.9% [129/684], p < 0.001). Specifically, the positive rates declined considerably from October to December 2020 but sharply increased during the summer of 2021. Compared to prepandemic period, RSV infections were more frequently observed in older children during the pandemic. RSV-positive children exhibited milder clinical characteristics during the COVID-19 pandemic, including decreased proportion of patients with hospital stay ≥ 11 days (10.3% vs. 6.7%, p < 0.05), less requirement for oxygen therapy (13.7% vs. 6.9%, p < 0.001), and fewer cases of polypnea (12.2% vs. 9.7%, p < 0.05) and wheeze (50.1% vs. 42.9%, p < 0.001). CONCLUSIONS The implementation of multilayered NPIs targeted at COVID-19 has affected the activity of RSV. Ongoing monitoring of RSV is warranted as the changing RSV epidemiology can provide valuable insights for future healthcare system planning.
Collapse
Affiliation(s)
- Yingfeng Lu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Qinghui Chen
- Department of Infectious Diseases, Soochow University Affiliated Children's Hospital, Suzhou, China
| | - Shaolong Ren
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Youyi Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Liping Yi
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Chen Qian
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Jiaming Shen
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Xiaofei Liu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Miao Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Biying Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Jian Song
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Xuejun Shao
- Clinical Laboratory, Soochow University Affiliated Children's Hospital, Suzhou, China
| | - Tao Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Jianmei Tian
- Department of Infectious Diseases, Soochow University Affiliated Children's Hospital, Suzhou, China
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| |
Collapse
|
5
|
Li Y, Liang Y, Tang J, Li N, Yang Y, Guo W, Lin C, Wu J, Lin Y, Chen Q. Clinical impact of human parainfluenza virus infections before and during the COVID-19 pandemic in Southern China. Microbes Infect 2023; 25:105219. [PMID: 37734534 DOI: 10.1016/j.micinf.2023.105219] [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: 07/14/2023] [Revised: 09/07/2023] [Accepted: 09/15/2023] [Indexed: 09/23/2023]
Abstract
Human parainfluenza viruses (HPIVs) are a leading cause of acute respiratory tract infections (ARTIs). Non-pharmaceutical interventions (NPIs) were widely administered to combat the pandemic of the coronavirus disease 2019 (COVID-19). Respiratory specimens were obtained from 10,454 hospitalized children with ARTIs to detect HPIV. We investigated differences in epidemiological and clinical characteristics of HPIV infections before (2017-2019) and during the COVID-19 pandemic (2020-2022). HPIVs were detected in 392 (3.75%, 392/10,454) patients, of whom 70 (17.86%), 48 (12.24%), and 274 (69.90%) were positive for HPIV1, HPIV2, and HPIV3, respectively. Detection rates of HPIV3 were higher in 2020-2022 than in 2017-2019 (3.38% vs. 2.24%). The seasonal distribution of HPIV1 showed no difference, but HPIV3 peaked between September and December during the COVID-19 pandemic, which differed from previous epidemiological patterns. Compared to the period before the COVID-19 pandemic, there has been a noticeable decrease in the incidence of asthma, moist rales, and emesis in patients infected with HPIV1 and in asthma, expectoration, and severe pneumonia in patients infected with HPIV3 during 2020-2022. The detection rates of HPIV increased in Southern China during the COVID-19 outbreak, which underlines the importance of continuous surveillance of HPIV in the next epidemic season.
Collapse
Affiliation(s)
- Ya Li
- Department of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ying Liang
- Department of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiaqi Tang
- Department of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ning Li
- Department of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yihao Yang
- Department of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenyu Guo
- Department of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Cheng Lin
- Department of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jinyu Wu
- Department of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yongping Lin
- Department of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China; Department of Laboratory Medicine, Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China.
| | - Qigao Chen
- Department of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
| |
Collapse
|
6
|
Brañas P, Muñoz‐Gallego I, Espartosa E, Moral N, Abellán G, Folgueira L. Dynamics of respiratory viruses other than SARS-CoV-2 during the COVID-19 pandemic in Madrid, Spain. Influenza Other Respir Viruses 2023; 17:e13199. [PMID: 37752064 PMCID: PMC10520512 DOI: 10.1111/irv.13199] [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: 06/23/2023] [Revised: 08/25/2023] [Accepted: 08/29/2023] [Indexed: 09/28/2023] Open
Abstract
The COVID-19 pandemic and the implemented control measures have impacted the circulation of respiratory-transmitted pathogens. In this report, we present data from a retrospective study that included 17,883 specimens conducted between 2018 and 2022 in our facility, describing the dynamics of circulation of the main respiratory viruses. We observed a significant decrease in all viral detections (other than SARS-CoV-2) starting from March 2020. However, rhinovirus maintained comparable levels to the pre-pandemic period. Additionally, influenza viruses were not detected during the 2020-2021 season, and respiratory syncytial virus (RSV) exhibited a shift in its seasonality, with an epidemic peak occurring in the summer of 2021.
Collapse
Affiliation(s)
- Patricia Brañas
- Microbiology DepartmentHospital Universitario 12 de OctubreMadridSpain
| | - Irene Muñoz‐Gallego
- Microbiology DepartmentHospital Universitario 12 de OctubreMadridSpain
- Biomedical Research Institute imas12Hospital Universitario 12 de OctubreMadridSpain
| | - Elena Espartosa
- Microbiology DepartmentHospital Universitario 12 de OctubreMadridSpain
| | - Noelia Moral
- Microbiology DepartmentHospital Universitario 12 de OctubreMadridSpain
- Biomedical Research Institute imas12Hospital Universitario 12 de OctubreMadridSpain
| | - Guadalupe Abellán
- Microbiology DepartmentHospital Universitario 12 de OctubreMadridSpain
| | - Lola Folgueira
- Microbiology DepartmentHospital Universitario 12 de OctubreMadridSpain
- Biomedical Research Institute imas12Hospital Universitario 12 de OctubreMadridSpain
- Department of Medicine, School of MedicineComplutense UniversityMadridSpain
| |
Collapse
|
7
|
Maltezou HC, Papanikolopoulou A, Vassiliu S, Theodoridou K, Nikolopoulou G, Sipsas NV. COVID-19 and Respiratory Virus Co-Infections: A Systematic Review of the Literature. Viruses 2023; 15:865. [PMID: 37112844 PMCID: PMC10142898 DOI: 10.3390/v15040865] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 03/30/2023] Open
Abstract
Τhe COVID-19 pandemic highly impacted the circulation, seasonality, and morbidity burden of several respiratory viruses. We reviewed published cases of SARS-CoV-2 and respiratory virus co-infections as of 12 April 2022. SARS-CoV-2 and influenza co-infections were reported almost exclusively during the first pandemic wave. It is possible that the overall incidence of SARS-CoV-2 co-infections is higher because of the paucity of co-testing for respiratory viruses during the first pandemic waves when mild cases might have been missed. Animal models indicate severe lung pathology and high fatality; nevertheless, the available literature is largely inconclusive regarding the clinical course and prognosis of co-infected patients. Animal models also indicate the importance of considering the sequence timing of each respiratory virus infection; however, there is no such information in reported human cases. Given the differences between 2020 and 2023 in terms of epidemiology and availability of vaccines and specific treatment against COVID-19, it is rational not to extrapolate these early findings to present times. It is expected that the characteristics of SARS-CoV-2 and respiratory virus co-infections will evolve in the upcoming seasons. Multiplex real-time PCR-based assays have been developed in the past two years and should be used to increase diagnostic and infection control capacity, and also for surveillance purposes. Given that COVID-19 and influenza share the same high-risk groups, it is essential that the latter get vaccinated against both viruses. Further studies are needed to elucidate how SARS-CoV-2 and respiratory virus co-infections will be shaped in the upcoming years, in terms of impact and prognosis.
Collapse
Affiliation(s)
- Helena C. Maltezou
- Directorate of Research, Studies and Documentation, National Public Health Organization, 15123 Athens, Greece
| | - Amalia Papanikolopoulou
- Third Department of Internal Medicine, Sotiria General Hospital for Thoracic Diseases, National and Kapodistrian University of Athens, School of Medicine, Sotiria General Hospital, 11527 Athens, Greece
| | | | - Kalliopi Theodoridou
- Department of Microbiology, Andreas Sygros Hospital, National and Kapodistrian University of Athens, 16121 Athens, Greece
| | - Georgia Nikolopoulou
- Department of Hepatitides, National Public Health Organization, 15123 Athens, Greece
| | - Nikolaos V. Sipsas
- Pathophysiology Department, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| |
Collapse
|
8
|
Ren L, Lin L, Zhang H, Wang Q, Cheng Y, Liu Q, Fang B, Xie L, Wang M, Yang J, Guo J, Zhang T, Lian H, Wang J, Yu H. Epidemiological and clinical characteristics of respiratory syncytial virus and influenza infections in hospitalized children before and during the COVID-19 pandemic in Central China. Influenza Other Respir Viruses 2023; 17:e13103. [PMID: 36824393 PMCID: PMC9895987 DOI: 10.1111/irv.13103] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 01/10/2023] [Indexed: 02/05/2023] Open
Abstract
Background Globally, the epidemiology of non-SARS-CoV-2 respiratory viruses like respiratory syncytial virus (RSV) and influenza virus was remarkably influenced by the implementation of non-pharmacological interventions (NPIs) during the COVID-19 pandemic. Our study explored the epidemiological and clinical characteristics of pediatric patients hospitalized with RSV or influenza infection before and during the pandemic after relaxation of NPIs in central China. Methods This hospital-based prospective case-series study screened pediatric inpatients (age ≤ 14 years) enrolled with acute respiratory infections (ARI) for RSV or influenza infection from 2018 to 2021. The changes in positivity rates of viral detection, epidemiological, and clinical characteristics were analyzed and compared. Results Median ages of all eligible ARI patients from 2018-2019 were younger than those from 2020-2021, so were ages of cases infected with RSV or influenza (RSV: 4.2 months vs. 7.2 months; influenza: 27.3 months vs. 37.0 months). Where the positivity rate for influenza was considerably decreased in 2020-2021 (1.4%, 27/1964) as compared with 2018-2019 (2.9%, 94/3275, P < 0.05), it was increased for RSV (11.4% [372/3275] vs. 13.3% [262/1964], P < 0.05) in the same period. The number of severe cases for both RSV and influenza infection were also decreased in 2020-2021 compared with 2018-2019. Conclusions The implemented NPIs have had varied impacts on common respiratory viruses. A more effective prevention strategy for RSV infections in childhood is needed.
Collapse
Affiliation(s)
- Lingshuang Ren
- School of Public HealthFudan University, Key Laboratory of Public Health Safety, Ministry of EducationShanghaiChina
| | - Li Lin
- Children's Hospital Affiliated to Zhengzhou UniversityHenan Children's HospitalZhengzhouChina
| | - Hua Zhang
- Zhengzhou Central Hospital Affiliated to Zhengzhou UniversityZhengzhouChina
| | - Qianli Wang
- Shanghai Institute of Infectious Disease and BiosecurityFudan UniversityShanghaiChina
| | - Yibing Cheng
- Children's Hospital Affiliated to Zhengzhou UniversityHenan Children's HospitalZhengzhouChina
| | - Qin Liu
- Zhengzhou Central Hospital Affiliated to Zhengzhou UniversityZhengzhouChina
| | - Bing Fang
- Children's Hospital Affiliated to Zhengzhou UniversityHenan Children's HospitalZhengzhouChina
| | - Linsen Xie
- Zhengzhou Central Hospital Affiliated to Zhengzhou UniversityZhengzhouChina
| | - Meng Wang
- Children's Hospital Affiliated to Zhengzhou UniversityHenan Children's HospitalZhengzhouChina
| | - Juan Yang
- School of Public HealthFudan University, Key Laboratory of Public Health Safety, Ministry of EducationShanghaiChina
| | - Jinxin Guo
- School of Public HealthFudan University, Key Laboratory of Public Health Safety, Ministry of EducationShanghaiChina
| | - Tianchen Zhang
- Division of Infectious DiseaseJiangxi Province Center for Disease Control and PreventionNanchangChina
| | - Hongkai Lian
- Zhengzhou Central Hospital Affiliated to Zhengzhou UniversityZhengzhouChina
| | - Jiangtao Wang
- Children's Hospital Affiliated to Zhengzhou UniversityHenan Children's HospitalZhengzhouChina
| | - Hongjie Yu
- School of Public HealthFudan University, Key Laboratory of Public Health Safety, Ministry of EducationShanghaiChina
- Shanghai Institute of Infectious Disease and BiosecurityFudan UniversityShanghaiChina
| |
Collapse
|
9
|
Ali ST, Lau YC, Shan S, Ryu S, Du Z, Wang L, Xu XK, Chen D, Xiong J, Tae J, Tsang TK, Wu P, Lau EHY, Cowling BJ. Prediction of upcoming global infection burden of influenza seasons after relaxation of public health and social measures during the COVID-19 pandemic: a modelling study. THE LANCET GLOBAL HEALTH 2022; 10:e1612-e1622. [PMID: 36240828 PMCID: PMC9573849 DOI: 10.1016/s2214-109x(22)00358-8] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 08/01/2022] [Accepted: 08/04/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND The transmission dynamics of influenza were affected by public health and social measures (PHSMs) implemented globally since early 2020 to mitigate the COVID-19 pandemic. We aimed to assess the effect of COVID-19 PHSMs on the transmissibility of influenza viruses and to predict upcoming influenza epidemics. METHODS For this modelling study, we used surveillance data on influenza virus activity for 11 different locations and countries in 2017-22. We implemented a data-driven mechanistic predictive modelling framework to predict future influenza seasons on the basis of pre-COVID-19 dynamics and the effect of PHSMs during the COVID-19 pandemic. We simulated the potential excess burden of upcoming influenza epidemics in terms of fold rise in peak magnitude and epidemic size compared with pre-COVID-19 levels. We also examined how a proactive influenza vaccination programme could mitigate this effect. FINDINGS We estimated that COVID-19 PHSMs reduced influenza transmissibility by a maximum of 17·3% (95% CI 13·3-21·4) to 40·6% (35·2-45·9) and attack rate by 5·1% (1·5-7·2) to 24·8% (20·8-27·5) in the 2019-20 influenza season. We estimated a 10-60% increase in the population susceptibility for influenza, which might lead to a maximum of 1-5-fold rise in peak magnitude and 1-4-fold rise in epidemic size for the upcoming 2022-23 influenza season across locations, with a significantly higher fold rise in Singapore and Taiwan. The infection burden could be mitigated by additional proactive one-off influenza vaccination programmes. INTERPRETATION Our results suggest the potential for substantial increases in infection burden in upcoming influenza seasons across the globe. Strengthening influenza vaccination programmes is the best preventive measure to reduce the effect of influenza virus infections in the community. FUNDING Health and Medical Research Fund, Hong Kong.
Collapse
Affiliation(s)
- Sheikh Taslim Ali
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, China
| | - Yiu Chung Lau
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, China
| | - Songwei Shan
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, China
| | - Sukhyun Ryu
- Department of Preventive Medicine, Konyang University College of Medicine, Daejeon, South Korea
| | - Zhanwei Du
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, China
| | - Lin Wang
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Xiao-Ke Xu
- College of Information and Communication Engineering, Dalian Minzu University, Dalian, China
| | - Dongxuan Chen
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, China
| | - Jiaming Xiong
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, China
| | - Jungyeon Tae
- Department of Preventive Medicine, Konyang University College of Medicine, Daejeon, South Korea
| | - Tim K Tsang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Peng Wu
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, China
| | - Eric H Y Lau
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, China
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, China,Correspondence to: Prof Benjamin J Cowling, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China
| |
Collapse
|
10
|
Liu P, Xu M, Lu L, Ma A, Cao L, Su L, Dong N, Jia R, Zhu X, Xu J. The changing pattern of common respiratory and enteric viruses among outpatient children in Shanghai, China: Two years of the COVID-19 pandemic. J Med Virol 2022; 94:4696-4703. [PMID: 35641444 PMCID: PMC9348017 DOI: 10.1002/jmv.27896] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 05/27/2022] [Accepted: 05/28/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Nonpharmaceutical interventions (NPIs) taken to combat the coronavirus disease 2019 (COVID-19) pandemic have not only decreased the spread of SARS-CoV-2 but also have had an impact on the prevalence of other common viruses. This study aimed to investigate the long-term impact of NPIs on common respiratory and enteric viruses among children in Shanghai, as NPIs were relaxed after June 2020. METHODS The laboratory results and clinical data of outpatient children with acute respiratory tract infections (ARTI) and acute gastroenteritis (AGE) were analyzed and compared between the post-COVID-19 period (from June 2020 to January 2022) and pre-COVID-19 period (from June 2018 to January 2020). RESULTS A total of 107,453 patients were enrolled from June 2018 to January 2022, including 43,190 patients with ARTI and 64,263 patients with AGE. The positive rates of most viruses decreased during the post-COVID-19 period, with the greatest decrease for influenza A (-90.94%), followed by adenoviruses (AdV) (-61.54%), rotaviruses (-48.17%), and influenza B (-40%). However, the positive rates of respiratory syncytial virus (RSV) and enteric AdV increased during the post-COVID-19 period as the NPIs were relaxed. Besides, in the summer of 2021, an unexpected out-of-season resurgence of RSV activity was observed, and the resurgence was more prominent among children older than 5 years. CONCLUSIONS The effectiveness of the current relaxed NPIs in control of common respiratory and enteric viruses was variable. Relaxation of NPIs might lead to resurgence of common viruses. This article is protected by copyright. All rights reserved.
Collapse
Affiliation(s)
- Pengcheng Liu
- Department of Clinical Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China
| | - Menghua Xu
- Department of Clinical Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China
| | - Lijuan Lu
- Department of Clinical Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China
| | - Ao Ma
- Department of Statistics and Data Management, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China
| | - Lingfeng Cao
- Department of Clinical Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China
| | - Liyun Su
- Department of Clinical Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China
| | - Niuniu Dong
- Department of Clinical Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China
| | - Ran Jia
- Department of Clinical Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China
| | - Xunhua Zhu
- Department of Clinical Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China
| | - Jin Xu
- Department of Clinical Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China
| |
Collapse
|