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Huang Q, Kang L, Wei X, Gong C, Xie H, Li M, Wang Y, Dong M, Huang F. Epidemiology and genetic diversity of common human coronaviruses in Beijing, 2015-2023: A prospective multicenter study. Int J Infect Dis 2025:107926. [PMID: 40379085 DOI: 10.1016/j.ijid.2025.107926] [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: 01/28/2025] [Revised: 04/14/2025] [Accepted: 05/05/2025] [Indexed: 05/19/2025] Open
Abstract
OBJECTIVES To investigate the epidemiological and genetic features of common human coronaviruses (HCoVs) in Beijing in the context of the COVID-19 pandemic. METHODS We collected clinical samples from patients with acute respiratory tract infections (ARTIs) in 35 sentinel hospitals from 2015 to 2023. HCoVs were detected via multiple real-time PCRs, and S gene sequencing and phylogenetic analysis were subsequently performed. RESULTS From 2015 to 2023, the combined detection rate of HCoVs was 1.55% (909/58,550). During the COVID-19 pandemic, a significant increase in HCoVs detection was observed (P < 0.001). Overall, the epidemic season of four HCoVs was from July to October, and each HCoV showed different epidemic seasons. Notably, HCoV-NL63 and HCoV-229E exhibited pronounced annual alternations in prevalence. The highest combined detection rates of HCoVs were in the ≥60 years age group (1.85%), followed by the 0-5 years age group (1.48%). HCoV-229E was more prevalent in patients with severe community-acquired pneumonia (sCAP) (P=0.001). Phylogenetic analyses revealed that the four HCoVs were subjected to negative selection pressure, and multiple high-frequency amino acid site mutations were observed. HCoV-229E formed an emerging lineage after 2021. CONCLUSIONS This nine-year multicenter study in Beijing systematically elucidated that the four HCoVs exhibit distinct epidemiological characteristics, susceptible populations, and common mutations in amino acid sites, especially in the context of COVID-19. Therefore, continuous epidemiological surveillance and genetic characterization studies are imperative for predictive warning and timely identification of emerging coronavirus.
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Affiliation(s)
- Qi Huang
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China.
| | - Lu Kang
- Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China; Beijing Research Center for Respiratory Infectious Diseases, Beijing 100013, China.
| | - Xiaofeng Wei
- Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China; Beijing Research Center for Respiratory Infectious Diseases, Beijing 100013, China.
| | - Cheng Gong
- Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China; Beijing Research Center for Respiratory Infectious Diseases, Beijing 100013, China.
| | - Hui Xie
- Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China; Beijing Research Center for Respiratory Infectious Diseases, Beijing 100013, China.
| | - Maozhong Li
- Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China; Beijing Research Center for Respiratory Infectious Diseases, Beijing 100013, China.
| | - Yiting Wang
- Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China; Beijing Research Center for Respiratory Infectious Diseases, Beijing 100013, China.
| | - Mei Dong
- Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China; Beijing Research Center for Respiratory Infectious Diseases, Beijing 100013, China.
| | - Fang Huang
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China; Beijing Research Center for Respiratory Infectious Diseases, Beijing 100013, China.
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He Y, He X, He N, Wang P, Gao Y, Sheng J, Tang J. Epidemiological trends and pathogen analysis of pediatric acute respiratory infections in Hanzhong Hospital, China: insights from 2023 to 2024. Front Public Health 2025; 13:1557076. [PMID: 40352832 PMCID: PMC12061667 DOI: 10.3389/fpubh.2025.1557076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2025] [Accepted: 03/31/2025] [Indexed: 05/14/2025] Open
Abstract
Background Acute respiratory infections (ARIs) are a leading cause of morbidity in children. Understanding the distribution of respiratory pathogens is crucial for effective prevention and treatment. This study analyzed the prevalence and epidemiological characteristics of ARIs in children from 2023 to 2024. Methodology This study included 9,294 children aged 0-18 years with ARI symptoms who were treated between July 2023 and August 2024. Respiratory samples were tested using polymerase chain reaction (PCR) for eight common viruses. Data were analyzed by age and gender to assess pathogen distribution and demographic patterns. Results A total of 14,722 samples were enrolled, with 2,888 (19.62%) testing positive for at least one pathogen. Among these, single-pathogen infections were predominant (97.66%, 2,756/2,822), while co-infections were less frequent (2.34%, 66/2,822). The three most common pathogens were adenovirus (ADV, 33.24%), Mycoplasma pneumoniae (MP, 25.07%), and whooping cough (WC, 22.78%). No significant gender differences were observed in the overall positive rate or pathogen distribution (p > 0.05). Pathogen detection rates varied significantly by age group (χ 2 = 110.03, p < 0.001), with WC and MP being most prevalent in school-age children (χ 2 = 104.58, p < 0.001; χ 2 = 11.546, p = 0.009, respectively) and Flu A more frequent in preschool children (χ 2 = 38.738, p < 0.001). MP, WC, ADV, human rhinovirus, and human metapneumovirus were detected throughout the year. Discussion The findings highlight that ARIs in children are primarily caused by single respiratory pathogens, with significant age-related differences in pathogen prevalence. These results emphasize the need for age-specific prevention strategies, such as targeted vaccination programs and public health interventions, particularly for school-age children during peak transmission periods.
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Affiliation(s)
- Yuanfang He
- Department of Clinical Laboratory, Hanzhong Central Hospital, Hanzhong, Shaanxi, China
| | - Xiaoliang He
- Department of Clinical Laboratory, Hanzhong Central Hospital, Hanzhong, Shaanxi, China
| | - Ning He
- Department of Urology, Hanzhong Central Hospital, Hanzhong, Shaanxi, China
| | - Peipei Wang
- Department of Clinical Laboratory, Hanzhong Central Hospital, Hanzhong, Shaanxi, China
| | - You Gao
- Department of Clinical Laboratory, Hanzhong Central Hospital, Hanzhong, Shaanxi, China
| | - Jiexin Sheng
- Department of Radiology, Hanzhong Central Hospital, Hanzhong, Shaanxi, China
| | - Jin Tang
- Department of Clinical Laboratory, Hanzhong Central Hospital, Hanzhong, Shaanxi, China
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Wang P, Fu J, Cheng L, Yan S, Wu H, Liu F, Yao H, Wu N, Xu L, Wu H. Neutralizing monoclonal antibodies as effective therapeutics and prophylactics against lethal H10N7 avian influenza infection in a mouse model. Vet Res 2025; 56:75. [PMID: 40176109 PMCID: PMC11966874 DOI: 10.1186/s13567-025-01504-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2024] [Accepted: 02/07/2025] [Indexed: 04/04/2025] Open
Abstract
The H10 subtype of avian influenza virus (AIV) is widespread in poultry worldwide and poses a significant threat to animal health. With the emergence of sporadic and fatal cases in humans infected with H10 subtype AIVs in recent years, it is imperative to develop neutralizing monoclonal antibodies (mAbs) to treat influenza clinically. In this study, BALB/c mice were immunized with A/chicken/Zhejiang/2CP8/2014 (H10N7) haemagglutinin (HA) protein, and eight HA-specific mAbs were subsequently screened. The characteristics of the mAbs were tested and evaluated using haemagglutination inhibition and microneutralization assays in vitro. We selected two mAbs (1E10 and 2A9) to further study their characteristics and functions, including their affinity and specificity of binding to antigens via enzyme-linked immunosorbent assays and immunofluorescence assays. We identified the mutant epitopes (K165E and N170D) of the H10N7 strain produced under the immune pressure of the two mAbs. Furthermore, we infected mice with the H10N7 virus and conducted prophylactic and therapeutic trials using the two mAbs. The results indicated that both mAbs have obvious neutralization ability in vivo. Compared with those in the isotype IgG control group, the weights of the mice in the experimental groups were greater in the prophylactic and therapeutic experiments. In conclusion, the mAbs produced in this study are expected to be effective drugs for clinical antiviral therapy against lethal infection by H10 AIVs.
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Affiliation(s)
- Ping Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and National Clinical Research Center for Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China
| | - Jiamin Fu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and National Clinical Research Center for Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China
| | - Linfang Cheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and National Clinical Research Center for Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China
| | - Sijing Yan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and National Clinical Research Center for Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China
| | - Han Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and National Clinical Research Center for Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China
| | - Fumin Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and National Clinical Research Center for Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China
| | - Hangping Yao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and National Clinical Research Center for Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China
| | - Nanping Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and National Clinical Research Center for Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China
| | - Lihua Xu
- Animal Husbandry and Veterinary Institute, Zhejiang Academy of Agricultural Science, Hangzhou, 310021, China
| | - Haibo Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and National Clinical Research Center for Infectious Diseases, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China.
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Wu L, Zhang J, Wu Z, Pei H, Zhang Y. Respiratory pathogen spectrum and epidemiological trends in Hainan Province: a retrospective analysis from 2017 to 2023. BMC Infect Dis 2025; 25:192. [PMID: 39920628 PMCID: PMC11806580 DOI: 10.1186/s12879-025-10493-6] [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: 09/27/2024] [Accepted: 01/13/2025] [Indexed: 02/09/2025] Open
Abstract
BACKGROUND Respiratory tract infections (RTIs) pose a significant global health burden, caused by various pathogens. The COVID-19 pandemic and non-pharmaceutical interventions (NPIs) have created unprecedented challenges for public health systems, inadvertently altering the dynamics of other respiratory pathogens. This study aims to illustrate changes in the pathogen spectrum among RTI patients in Hainan Province before and during the pandemic. METHODS A retrospective study was conducted to demonstrated the epidemiology characteristics of respiratory pathogens across pre-COVID-19, NPI and COVID-19 pandemic in Hainan from 2017 to 2023. A total of 21,036 patients with RTI of all age groups were enrolled and tested for nine common pathogens: influenza A virus (Flu-A), influenza B virus (Flu-B), parainfluenza virus (PIV), Adenovirus (AAV), respiratory syncytial virus (RSV), Q fever Rickettsiae (Q Fever), Legionella pneumophila (L. pne), Chlamydia pneumoniae (C. pne), and Mycoplasma pneumoniae (M. pne). RESULTS During 2017-2023, the number of RTI patients and pathogen detection rate was gradually decrease from 33.30% (3,886/11,670; pre-COVID-19), to 30.81% (2,034/6,602; NPI) and 22.43% (620/2,764; COVID-19). M. pne (25.52%), Flu-B (3.9%), and PIV (3.12%) were identified as the most prevalent pathogens across three periods. However, the infection rate for M. pne was significantly decrease, and the infection rate for Flu-B and Flu-A were a notable increased in NPI and COVID-19 pandemic. Children aged 0-5 years account for the largest proportion of all RTI patients with the highest infection rate, especially in NPI and COVID-19 pandemic. Flu-A, Flu-B, and RSV exhibited spring-specific seasonal prevalence during NPI and COVID-19 pandemic. Co-infection pattern analysis showed that "M. pne-dominant viruses" co-infection type was prevalent across all three time periods. CONCLUSION M. pne, Flu-B, Flu-A, and PIV were found to be the main causative pathogens of RTI patients in Hainan Province, and their prevalence levels and seasonal patterns had changed during large-scale NPI and COVID-19 pandemic.
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Affiliation(s)
- Lvying Wu
- Department of Medical laboratory, the Second Affiliated Hospital of Hainan Medical University, Yehai road 368#, Longhua District, Haikou city, 570216, Hainan Province, P. R. China
- Institute of Clinical Medicine, the Second Affiliated Hospital of Hainan Medical University, Haikou, 570216, China
| | - Jianan Zhang
- Institute of Clinical Medicine, the Second Affiliated Hospital of Hainan Medical University, Haikou, 570216, China
| | - Zhiming Wu
- Department of Medical laboratory, the Second Affiliated Hospital of Hainan Medical University, Yehai road 368#, Longhua District, Haikou city, 570216, Hainan Province, P. R. China
| | - Hua Pei
- Department of Medical laboratory, the Second Affiliated Hospital of Hainan Medical University, Yehai road 368#, Longhua District, Haikou city, 570216, Hainan Province, P. R. China.
| | - You Zhang
- Department of Medical laboratory, the Second Affiliated Hospital of Hainan Medical University, Yehai road 368#, Longhua District, Haikou city, 570216, Hainan Province, P. R. China.
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Ye C, Tian Y, Huo D, Zhang T, Zhang L, Zhao B, Shen Y, Jiang X, Hu X, Zhang H, Hao L, Li Z, Fang L. Changes in Epidemics of Respiratory Viral Infections Resulted From the COVID-19 Pandemic in Shanghai. J Med Virol 2024; 96:e70034. [PMID: 39513651 PMCID: PMC11600481 DOI: 10.1002/jmv.70034] [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: 08/14/2024] [Revised: 10/12/2024] [Accepted: 10/17/2024] [Indexed: 11/15/2024]
Abstract
To investigate the changing patterns of respiratory viral infections within the context of COVID-19 pandemic. The etiological surveillance data of eight respiratory viral pathogens among patients with ARIs in Shanghai between 2013 and 2023 were analyzed to evaluate the dynamic patterns of respiratory viral infections in Shanghai compared to global other regions during pre-pandemic (period 1), pandemic (period 2), and post-pandemic (period 3) periods of COVID-19. In Shanghai and various other global regions, there was a delay of 2‒4 months in the peak positive rate of IFV and a reverse seasonality for RSV, HMPV, and HBoV was observed following the relaxation of NPIs. The proportion of patients infected with any of these eight viruses experiencing fever or high fever notably increased. During the entire study period, IFV was consistently identified as the most prevalent virus, with IFV-B as the predominant stain during period 2, and IFV-A regained its dominance following the lifting of NPIs. The proportion of RSV among children significantly increased during period 2 compared to period 1. With the relaxation of NPIs, there has been a resurgence of certain viral pathogens, accompanied by notable alterations in seasonal patterns and the spectrum of viral pathogens.
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Affiliation(s)
- Chuchu Ye
- Shanghai Pudong New Area Center for Disease Control and PreventionShanghaiPeople's Republic of China
| | - Yao Tian
- State Key Laboratory of Pathogen and BiosecurityAcademy of Military Medical ScienceBeijingPeople's Republic of China
| | - Dazhu Huo
- School of Health Policy and ManagementChinese Academy of Medical Sciences (CAMS) & Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Ting Zhang
- School of Population Medicine and Public HealthChinese Academy of Medical Sciences (CAMS) & Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Li Zhang
- Shanghai Pudong New Area Center for Disease Control and PreventionShanghaiPeople's Republic of China
| | - Bing Zhao
- Shanghai Pudong New Area Center for Disease Control and PreventionShanghaiPeople's Republic of China
| | - Yifeng Shen
- Shanghai Pudong New Area Center for Disease Control and PreventionShanghaiPeople's Republic of China
| | - Xinli Jiang
- School of Population Medicine and Public HealthChinese Academy of Medical Sciences (CAMS) & Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Xuancheng Hu
- School of Population Medicine and Public HealthChinese Academy of Medical Sciences (CAMS) & Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Haiyang Zhang
- Central Theater Command Center for Disease Control and PreventionBeijingPeople's Republic of China
| | - Lipeng Hao
- Shanghai Pudong New Area Center for Disease Control and PreventionShanghaiPeople's Republic of China
| | - Zhongjie Li
- School of Population Medicine and Public HealthChinese Academy of Medical Sciences (CAMS) & Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Li‐Qun Fang
- State Key Laboratory of Pathogen and BiosecurityAcademy of Military Medical ScienceBeijingPeople's Republic of China
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Deng F, Dong Z, Qiu T, Xu K, Dai Q, Yu H, Fan H, Qian H, Bao C, Gao W, Zhu L. Respiratory pathogen dynamics in community fever cases: Jiangsu Province, China (2023-2024). Virol J 2024; 21:226. [PMID: 39304902 PMCID: PMC11414227 DOI: 10.1186/s12985-024-02494-9] [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: 06/27/2024] [Accepted: 09/08/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND Respiratory infectious diseases have the highest incidence among infectious diseases worldwide. Currently, global monitoring of respiratory pathogens primarily focuses on influenza and coronaviruses. This study included influenza and other common respiratory pathogens to establish a local respiratory pathogen spectrum. We investigated and analyzed the co-infection patterns of these pathogens and explored the impact of lifting non-pharmaceutical interventions (NPIs) on the transmission of influenza and other respiratory pathogens. Additionally, we used a predictive model for infectious diseases, utilizing the commonly used An autoregressive comprehensive moving average model (ARIMA), which can effectively forecast disease incidence. METHODS From June 2023 to February 2024, we collected influenza-like illness (ILI) cases weekly from the community in Xuanwu District, Nanjing, and obtained 2046 samples. We established a spectrum of respiratory pathogens in Nanjing and analysed the age distribution and clinical symptom distribution of various pathogens. We compared age, gender, symptom counts, and viral loads between individuals with co-infections and those with single infections. An autoregressive comprehensive moving average model (ARIMA) was constructed to predict the incidence of respiratory infectious diseases. RESULTS Among 2046 samples, the total detection rate of respiratory pathogen nucleic acids was 53.37% (1092/2046), with influenza A virus 479 cases (23.41%), influenza B virus 224 cases (10.95%), and HCoV 95 cases (4.64%) being predominant. Some pathogens were statistically significant in age and number of symptoms. The positive rate of mixed infections was 6.11% (125/2046). There was no significant difference in age or number of symptoms between co-infection and simple infection. After multiple iterative analyses, an ARIMA model (0,1,4), (0,0,0) was established as the optimal model, with an R2 value of 0.930, indicating good predictive performance. CONCLUSIONS The spectrum of respiratory pathogens in Nanjing, Jiangsu Province, was complex in the past. The primary age groups of different viruses were different, causing various symptoms, and the co-infection of viruses did not correlate with the age and gender of patients. The ARIMA model estimated future incidence, which plateaued in subsequent months.
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Affiliation(s)
- Fei Deng
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | | | - Tian Qiu
- Xuanwu District Center for Disease Control and Prevention, Nanjing, China
| | - Ke Xu
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Qigang Dai
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Huiyan Yu
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Huan Fan
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Haifeng Qian
- Xuanwu District Center for Disease Control and Prevention, Nanjing, China
| | - Changjun Bao
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Wei Gao
- Xuanwu District Center for Disease Control and Prevention, Nanjing, China
| | - Liguo Zhu
- Nanjing Medical University, Nanjing, China.
- NHC Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
- Jiangsu Provincial Medical Key Laboratory of Pathogenic Microbiology in Emerging Major Infectious Diseases, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
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Xiao M, Banu A, Zeng X, Shi S, Peng R, Chen S, Ge N, Tang C, Huang Y, Wang G, Hu X, Cui X, Chan JFW, Yin F, Chang M. Epidemiology of Human Parainfluenza Virus Infections among Pediatric Patients in Hainan Island, China, 2021-2023. Pathogens 2024; 13:740. [PMID: 39338931 PMCID: PMC11434638 DOI: 10.3390/pathogens13090740] [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: 07/26/2024] [Revised: 08/23/2024] [Accepted: 08/27/2024] [Indexed: 09/30/2024] Open
Abstract
Human parainfluenza viruses (HPIVs) are the leading causes of acute respiratory tract infections (ARTIs), particularly in children. During the COVID-19 pandemic, non-pharmaceutical interventions (NPIs) significantly influenced the epidemiology of respiratory viruses. This study analyzed 19,339 respiratory specimens from pediatric patients with ARTIs to detect HPIVs using PCR or tNGS, focusing on the period from 2021 to 2023. HPIVs were identified in 1395 patients (7.21%, 1395/19,339), with annual detection rates of 6.86% (303/4419) in 2021, 6.38% (331/5188) in 2022, and 7.82% (761/9732) in 2023. Notably, both the total number of tests and HPIV-positive cases increased in 2023 compared to 2021 and 2022. Seasonal analysis revealed a shift in HPIV prevalence from winter and spring in 2021-2022 to spring and summer in 2023. Most HPIV-positive cases were in children aged 0-7 years, with fewer infections among those aged 7-18 years. Since June 2022, HPIV-3 has been the most prevalent serotype (59.55%, 524/880), whereas HPIV-2 had the lowest proportion (0.80%, 7/880). The proportions of HPIV-1 (24.89%, 219/880) and HPIV-4 (15.45%, 136/880) were similar. Additionally, the incidence of co-infections with other common respiratory pathogens has increased since 2021. This study highlights rising HPIV detection rates post-COVID-19 and underscores the need for continuous surveillance of HPIVs to inform public health strategies for future epidemic seasons.
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Affiliation(s)
- Meifang Xiao
- Department of Clinical Laboratory, Center for Laboratory Medicine, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 570206, China; (M.X.); (X.Z.); (S.S.)
- Department of Microbiology, Faculty of Medicine, Lincoln University College, Petaling Jaya 47301, Malaysia;
| | - Afreen Banu
- Department of Microbiology, Faculty of Medicine, Lincoln University College, Petaling Jaya 47301, Malaysia;
| | - Xiangyue Zeng
- Department of Clinical Laboratory, Center for Laboratory Medicine, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 570206, China; (M.X.); (X.Z.); (S.S.)
| | - Shengjie Shi
- Department of Clinical Laboratory, Center for Laboratory Medicine, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 570206, China; (M.X.); (X.Z.); (S.S.)
| | - Ruoyan Peng
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; (R.P.); (S.C.); (N.G.); (C.T.); (Y.H.); (G.W.); (X.H.); (X.C.)
| | - Siqi Chen
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; (R.P.); (S.C.); (N.G.); (C.T.); (Y.H.); (G.W.); (X.H.); (X.C.)
| | - Nan Ge
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; (R.P.); (S.C.); (N.G.); (C.T.); (Y.H.); (G.W.); (X.H.); (X.C.)
| | - Cheng Tang
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; (R.P.); (S.C.); (N.G.); (C.T.); (Y.H.); (G.W.); (X.H.); (X.C.)
| | - Yi Huang
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; (R.P.); (S.C.); (N.G.); (C.T.); (Y.H.); (G.W.); (X.H.); (X.C.)
| | - Gaoyu Wang
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; (R.P.); (S.C.); (N.G.); (C.T.); (Y.H.); (G.W.); (X.H.); (X.C.)
| | - Xiaoyuan Hu
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; (R.P.); (S.C.); (N.G.); (C.T.); (Y.H.); (G.W.); (X.H.); (X.C.)
| | - Xiuji Cui
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; (R.P.); (S.C.); (N.G.); (C.T.); (Y.H.); (G.W.); (X.H.); (X.C.)
- Department of Pathogen Biology, Hainan Medical University, Haikou 571199, China
| | - Jasper Fuk-Woo Chan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, and Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR 999077, China;
- Department of Infectious Diseases and Microbiology, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China
| | - Feifei Yin
- Department of Clinical Laboratory, Center for Laboratory Medicine, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 570206, China; (M.X.); (X.Z.); (S.S.)
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; (R.P.); (S.C.); (N.G.); (C.T.); (Y.H.); (G.W.); (X.H.); (X.C.)
- Department of Pathogen Biology, Hainan Medical University, Haikou 571199, China
| | - Meng Chang
- Department of Clinical Laboratory, Center for Laboratory Medicine, Hainan Women and Children’s Medical Center, Hainan Medical University, Haikou 570206, China; (M.X.); (X.Z.); (S.S.)
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Key Laboratory of Tropical Translational Medicine of Ministry of Education, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; (R.P.); (S.C.); (N.G.); (C.T.); (Y.H.); (G.W.); (X.H.); (X.C.)
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8
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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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Wei M, Li S, Lu X, Hu K, Li Z, Li M. Changing respiratory pathogens infection patterns after COVID-19 pandemic in Shanghai, China. J Med Virol 2024; 96:e29616. [PMID: 38634514 DOI: 10.1002/jmv.29616] [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: 02/06/2024] [Revised: 03/21/2024] [Accepted: 04/08/2024] [Indexed: 04/19/2024]
Abstract
To assess the positive rate of 11 respiratory pathogens in 2023, providing a comprehensive summary and analysis of the respiratory infection patterns after COVID-19 pandemic. The study comprised 7544 inpatients suspected of respiratory infections who underwent respiratory pathogen multiplex polymerase chain reaction tests from July 2022 to December 31, 2023. We analyzed the positive rate of 11 pathogens over 18 months and the characterization of infection patterns among different age groups and immune states. Among 7544 patients (age range 4 months to 104 years, 44.99% female), the incidence of infected by at least one of the 11 pathogens was 26.07%. Children (55.18%, p < 0.05) experienced a significantly higher infection probability than adults (20.88%) and old (20.66%). Influenza A virus (8.63%), Mycoplasma pneumoniae (5.47%), and human rhinovirus (5.12%) were the most common pathogens. In children, M. pneumoniae (35.96%) replaced the predominant role of human respiratory syncytial virus (HRSV) (5.91%) in the pathogen spectrum. Age, immunosuppressed state, and respiratory chronic conditions were associated with a significantly higher risk of mixed infection. Immunosuppressed patients were more vulnerable to human coronavirus (4.64% vs. 1.65%, p < 0.05), human parainfluenza virus (3.46% vs. 1.69%, p < 0.05), and HRSV (2.27% vs. 0.55%, p < 0.05). Patterns in respiratory infections changed following regional epidemic control measures and the COVID-19 pandemic.
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Affiliation(s)
- Muyun Wei
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangshuang Li
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinhua Lu
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kaiming Hu
- Department of Laboratory Medicine, Chaohu Hospital, Anhui Medical University, Hefei, China
| | - Zhilan Li
- Department of Laboratory Medicine, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Min Li
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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10
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Huang L, Xu Y, Yang Y, Dong H, Luo Q, Chen Z, Du H, Mei G, Wang X, Guan Y, Zhao C, Han J, Lu G. Molecular epidemiology and clinical characteristics of respiratory syncytial virus in hospitalized children during winter 2021-2022 in Bengbu, China. Front Public Health 2024; 11:1310293. [PMID: 38235154 PMCID: PMC10791987 DOI: 10.3389/fpubh.2023.1310293] [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: 10/09/2023] [Accepted: 12/01/2023] [Indexed: 01/19/2024] Open
Abstract
Objective This study aimed to study the molecular epidemiology and clinical characteristics of respiratory syncytial virus (RSV) infection from hospitalized children with ARTI in Bengbu. Methods One hundred twenty-four nasopharyngeal swab specimens and clinical data from children with ARTI cases were collected in Bengbu, China, during winter 2021-2022. The samples were detected by qPCR of 13 respiratory viruses. Phylogenetic analysis was constructed using MEGA 7.0. All analyses were performed using SAS software, version 9.4. Results In winter 2021-2022, URTI, NSCAP, SCAP, and bronchiolitis accounted for 41.03%, 27.35%, 17.09%, and 14.53% of hospitalized children in Bengbu, China. The detection rates of the top three were RSV (41.94%), ADV (5.65%), and FluB (5.65%) in hospitalized children through 13 virus detection. RSV is the main pathogen of hospitalized children under 2 years old. Forty-eight sequences of G protein of RSV were obtained through PCR amplification, including RSV-A 37 strains and RSV-B 11 strains. Phylogenetic analysis showed that all RSV-A and RSV-B were ON1 and BA9 genotypes, respectively. ON1 genotypes were further divided into two clades. The majority of ON1 strains formed a unique genetic clade with T113I, V131D, N178 G, and H258Q mutations. Furthermore, RSV infection was an independent risk factor for ventilator use (OR = 9.55, 95% CI 1.87-48.64). Conclusion There was a high incidence of RSV among hospitalized children during winter 2021-2022 in Bengbu with ON1 and BA9 being the dominant strains. This study demonstrated the molecular epidemiological characteristics of RSV in children with respiratory infections in Bengbu, China.
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Affiliation(s)
- Limin Huang
- The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
- Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yuanyou Xu
- The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
| | - Yanqing Yang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hongming Dong
- School of Basic Medicine, North China University of Science and Technology, Tangshan, China
| | - Qin Luo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhen Chen
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haijun Du
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guoyong Mei
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xinyue Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- College of Life Science and Agriculture and Forestry, Qiqihar University, Qiqihar, China
| | - Yake Guan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chihong Zhao
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Han
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guoyu Lu
- The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
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11
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Cao R, Du Y, Tong J, Xia D, Song Q, Xia Z, Liu M, Du H, Han J, Gao C. Influence of COVID-19 pandemic on the virus spectrum in children with respiratory infection in Xuzhou, China: a long-term active surveillance study from 2015 to 2021. BMC Infect Dis 2023; 23:467. [PMID: 37442963 DOI: 10.1186/s12879-023-08247-3] [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: 01/31/2023] [Accepted: 04/12/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND To investigate the impact of the coronavirus disease 2019 (COVID-19) outbreak on the prevalence of respiratory viruses among pediatric patients with acute respiratory infections in Xuzhou from 2015-2021. METHODS Severe acute respiratory infection (SARI) cases in hospitalized children were collected from 2015-2021 in Xuzhou, China. Influenza virus(IFV), respiratory syncytial virus (RSV), human parainfluenza virus type 3(hPIV-3), human rhinovirus (hRV), human adenovirus(hAdV), human coronavirus(hCoV) were detected by real-time fluorescence polymerase chain reaction(RT-qPCR), and the results were statistically analyzed by SPSS 23.0 software. RESULTS A total of 1663 samples with SARI were collected from 2015-2021, with a male-to-female ratio of 1.67:1 and a total virus detection rate of 38.5% (641/1663). The total detection rate of respiratory viruses decreased from 46.2% (2015-2019) to 36% (2020-2021) under the control measures for COVID-19 (P < 0.01). The three viruses with the highest detection rates changed from hRV, RSV, and hPIV-3 to hRV, RSV, and hCoV. The epidemic trend of hPIV-3 and hAdV was upside down before and after control measures(P < 0.01); however, the epidemic trend of RV and RSV had not changed from 2015 to 2021(P > 0.05). After the control measures, the detection rate of hPIV-3 decreased in all age groups, and the detection rate of hCoV increased in all except the 1 ~ 3 years old group. CONCLUSIONS Implementing control measures for COVID-19 outbreak curbed the spread of respiratory viruses among children as a whole. However, the epidemic of RV and RSV was not affected by the COVID-19 control policy.
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Affiliation(s)
- Rundong Cao
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Yangguang Du
- Xuzhou Center for Disease Control and Prevention, Xuzhou, 221002, China
| | - Jing Tong
- Xuzhou Center for Disease Control and Prevention, Xuzhou, 221002, China
| | - Dong Xia
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Qinqin Song
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Zhiqiang Xia
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Mi Liu
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Haijun Du
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Jun Han
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China.
| | - Chen Gao
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China.
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12
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Shen L, Yan H, Li W, Tian Y, Lin C, Liu B, Wang Y, Jia L, Zhang D, Yang P, Wang Q, Gao Z. Occurrence of respiratory viruses among outpatients with diarrhea in Beijing, China, 2019-2020. Front Microbiol 2023; 13:1073980. [PMID: 36713165 PMCID: PMC9878210 DOI: 10.3389/fmicb.2022.1073980] [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: 10/19/2022] [Accepted: 12/28/2022] [Indexed: 01/14/2023] Open
Abstract
Objectives To investigate respiratory virus infections in diarrhea cases and identify the risk of respiratory virus transmission through feces. Methods Fecal specimens were collected from diarrhea cases in enteric disease clinics in Beijing, China, from 2019 to 2020. Cases that tested negative for norovirus, rotavirus, sapovirus, astrovirus, and enteric adenovirus were included in the study. Real-time RT-PCR was used to detect 16 groups of respiratory viruses, and the major viruses were genotyped. Viruses isolation and digestion of clinical specimens and nucleic acid by artificial gastric acid or artificial bile/pancreatic juice were used to evaluate the risk of respiratory virus transmission through feces. Results A total of 558 specimens were collected and 47 (8.42%) specimens were detected positive, 40 (13.33%, 40/300) in 2019, and 7 (2.71%, 7/258) in 2020, including 20 (3.58%) for human rhinovirus (HRV), 13 (2.32%) for Bocavirus (BoV), 6 (1.08%) for parainfluenza virus I (PIV), 4 (0.72%) for coronavirus (CoV) OC43, 3 (0.54%) for respiratory syncytial virus (RSV) A, and 1 (0.18%) for both BoV and CoV OC43. Syndrome coronavirus 2 (SARS-CoV-2) and other viruses were not detected in this study. Eight genotypes were identified in the 13 HRV specimens. BoVs 1 and 2 were identified in nine BoV specimens. HRV infectious virions were successfully isolated from 2 clinical specimens and clinical specimens of HRV, RSV, PIV, and CoV could not be detected after 4 h of digestion and their nucleic acid could not be detected after 2 h of digestion by artificial gastric acid or artificial bile/pancreatic juice. Conclusion There may be a risk of respiratory virus transmission from diarrhea cases, and interventions against SARS-COV-2 epidemics are also effective for other respiratory viruses.
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Affiliation(s)
- Lingyu Shen
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China,Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hanqiu Yan
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Weihong Li
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yi Tian
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Changying Lin
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Baiwei Liu
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yu Wang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Lei Jia
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Daitao Zhang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Peng Yang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Quanyi Wang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China,*Correspondence: Quanyi Wang,
| | - Zhiyong Gao
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China,Zhiyong Gao,
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13
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Wang X, Li M, Luo M, Luo Q, Kang L, Xie H, Wang Y, Yu X, Li A, Dong M, Huang F, Gong C. Mycoplasma pneumoniae triggers pneumonia epidemic in autumn and winter in Beijing: a multicentre, population-based epidemiological study between 2015 and 2020. Emerg Microbes Infect 2022; 11:1508-1517. [PMID: 35582916 PMCID: PMC9176688 DOI: 10.1080/22221751.2022.2078228] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The objective of this paper is to explore the characteristics of Mycoplasma pneumoniae (MP) epidemics in Beijing, China. Patients with acute respiratory tract infection (ARTI) were enrolled from 35 sentinel hospitals in Beijing, 2015–2020. Their medical records were reviewed and respiratory specimens were collected for assay for nucleic acids of 24 respiratory pathogens, including MP. The genotypes of MP were analysed using a real-time PCR method. The domain V of 23s rRNA gene was sequenced to identify macrolide-resistant mutations. A total of 41,677 specimens of ARTI patients were included, with an MP positive rate of 6.16%. MP prevalence mainly occurred between August and January, and peaked in October. The increase in the MP detection rate was coincident with the elevation of the reported number of patients with pneumonia in the 35 sentinel hospitals. One or more respiratory pathogens were co-detected in 27.1% of the MP-positive patients. Type 1 MP remained predominant, and the macrolide-resistant rate of MP had exceeded over 90%. A2063G mutation accounted for 99.0% of macrolide-resistant MP infections. MP epidemic in Beijing mainly occurred between August and January with a remarkable high macrolide-resistant rate. MP is one of the important contributors to the pneumonia epidemic in autumn and winter in Beijing.
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Affiliation(s)
- Xue Wang
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Maozhong Li
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Ming Luo
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Qin Luo
- College of Public Health, Capital Medical University, Beijing, People's Republic of China
| | - Lu Kang
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Hui Xie
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Yiting Wang
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Xiali Yu
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Aihua Li
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Mei Dong
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Fang Huang
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Cheng Gong
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
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14
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Luo M, Gong C, Zhang Y, Wang X, Liu Y, Luo Q, Li M, Li A, Wang Y, Dong M, Xu W, Huang F. Comparison of infections with respiratory syncytial virus between children and adults: a multicenter surveillance from 2015 to 2019 in Beijing, China. Eur J Clin Microbiol Infect Dis 2022; 41:1387-1397. [PMID: 36197575 PMCID: PMC9533982 DOI: 10.1007/s10096-022-04492-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/05/2022] [Indexed: 11/28/2022]
Abstract
The objective of this study is to investigate the epidemiological and clinical characteristics of the acute respiratory tract infections (ARTI) caused by respiratory syncytial virus (RSV) among the population of all age categories in Beijing, China. Outpatients and inpatients with ARTI were enrolled from 35 sentinel hospitals in Beijing between March 2015 and February 2019. They were interviewed and their medical records were collected using a standardized form. Their respiratory specimens were collected and tested for the nucleic acid of RSV. The RSV-positive specimens were further genotyped into RSV-A and RSV-B groups. A total of 29,923 cases were included in this study. RSV was detected in 623 (2%, 623/29923) patients, with 391 (62.8%) genotypd as RSV-A, 126 (20.2%) as RSV-B, and 106 (17.0%) untyped. The RSV epidemic season usually occurred between October and March covering approximately 90% of annual RSV infections. The RSV-infected children aged < 5 years accounted for 52.2% of the total RSV infections with cough and fever as the most common manifestations. The RSV-infected elderly adults aged ≥ 60 years have the second largest proportion (25.2%) with dyspnea and lymphocytopenia as the most common manifestations and showed an elevated rate of hospitalization, an increased rate of ICU admission, an extended length of hospital stay, and an elevated mortality compared to the RSV-infected children. The RSV infections aged ≥ 60 years old, as the second largest population of the total annual RSV infections, usually developed worse outcomes than children and should be taken seriously.
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Affiliation(s)
- Ming Luo
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Cheng Gong
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Yan Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155th Changbai Road, Changping District, Beijing, 102206, China
| | - Xue Wang
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Yang Liu
- Tongzhou Center for Disease Prevention and Control, 1st Luhe Middle School North Road, Tongzhou District, Beijing, 101100, China
| | - Qing Luo
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China.,College of Public Health, Capital Medical University, No.10 West, You'anmen Avenue, Fengtai District, Beijing, 100069, China
| | - Maozhong Li
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Aihua Li
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Yiting Wang
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Mei Dong
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Wenbo Xu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155th Changbai Road, Changping District, Beijing, 102206, China.
| | - Fang Huang
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China.
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15
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Chen H, Huang Z, Chang S, Hu M, Lu Q, Zhang Y, Wang H, Xiao Y, Wang H, Ge Y, Zou Y, Cui F, Han S, Zhang M, Wang S, Zhu X, Zhang B, Li Z, Ren J, Chen X, Ma R, Zhang L, Guo X, Luo L, Sun X, Yang X. Immunogenicity and safety of an inactivated SARS-CoV-2 vaccine (Sinopharm BBIBP-CorV) coadministered with quadrivalent split-virion inactivated influenza vaccine and 23-valent pneumococcal polysaccharide vaccine in China: A multicentre, non-inferiority, open-label, randomised, controlled, phase 4 trial. Vaccine 2022; 40:5322-5332. [PMID: 35931636 PMCID: PMC9334936 DOI: 10.1016/j.vaccine.2022.07.033] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 07/07/2022] [Accepted: 07/21/2022] [Indexed: 11/17/2022]
Abstract
Background The safety and immunogenicity of the coadministration of an inactivated SARS-CoV-2 vaccine (Sinopharm BBIBP-CorV), quadrivalent split-virion inactivated influenza vaccine (IIV4), and 23-valent pneumococcal polysaccharide vaccine (PPV23) in adults in China is unknown. Methods In this open-label, non-inferiority, randomised controlled trial, participants aged ≥ 18 years were recruited from the community. Individuals were eligible if they had no history of SARS-CoV-2 vaccine or any pneumonia vaccine and had not received an influenza vaccine during the 2020–21 influenza season. Eligible participants were randomly assigned (1:1:1), using block randomization stratified, to either: SARS-CoV-2 vaccine and IIV4 followed by SARS-CoV-2 vaccine and PPV23 (SARS-CoV-2 + IIV4/PPV23 group); two doses of SARS-CoV-2 vaccine (SARS-CoV-2 vaccine group); or IIV4 followed by PPV23 (IIV4/PPV23 group). Vaccines were administered 28 days apart, with blood samples taken on day 0 and day 28 before vaccination, and on day 56. Results Between March 10 and March 15, 2021, 1152 participants were recruited and randomly assigned to three groups (384 per group). 1132 participants were included in the per-protocol population (375 in the SARS-CoV-2 + IIV4/PPV23 group, 380 in the SARS-CoV-2 vaccine group, and 377 in the IIV4/PPV23 group). The seroconversion rate (100 % vs 100 %) and GMT (159.13 vs 173.20; GMT ratio of 0.92 [95 % CI 0.83 to 1.02]) of SARS-CoV-2 neutralising antibodies in the SARS-CoV-2 + IIV4/PPV23 group was not inferior to those in the SARS-CoV-2 vaccine group. The SARS-CoV-2 + IIV4/PPV23 group was not inferior to the IIV4/PPV23 group in terms of seroconversion rates and GMT of influenza virus antibodies for all strains except for the seroconversion rate for the B/Yamagata strain. The SARS-CoV-2 + IIV4/PPV23 group was not inferior to the IIV4/PPV23 group regarding seroconversion rates and GMC of Streptococcus pneumoniae IgG antibodies specific to all serotypes. All vaccines were well tolerated. Conclusions The coadministration of the inactivated SARS-CoV-2 vaccine and IIV4/PPV23 is safe with satisfactory immunogenicity. This study is registered with ClinicalTrials.gov, NCT04790851.
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