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Jia W, Zhang X, Sun R, Li P, Zhen X, Li Y, Wang D, Li C, Song C. Changes in the epidemiological characteristics of influenza in children in Zhengzhou, China, in the post-COVID-19 era. BMC Public Health 2024; 24:1938. [PMID: 39030529 PMCID: PMC11264675 DOI: 10.1186/s12889-024-19460-3] [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: 02/29/2024] [Accepted: 07/12/2024] [Indexed: 07/21/2024] Open
Abstract
BACKGROUND Influenza is a contagious respiratory disease posing a huge burden of disease for children around the world. The purpose of this study was to investigate the epidemiologic changes in childhood influenza in Zhengzhou, China, before, during, and after the COVID-19 outbreak. The aim of this study was to determine the impact of the COVID-19 outbreak and related prevention and control policies on the children's influenza epidemiological trend. METHODS All influenza report card data from the Children's Hospital Affiliated with Zhengzhou University's Disease Surveillance Reporting Management System were collected and analyzed monthly from January 2018 to December 2023. The period of the study was divided into three phases for comparison: the pre-pandemic period, the pandemic period, and the post-pandemic period. RESULTS Between January 2018 and December 2023, a total of 82,030 children with influenza were diagnosed at our hospital, including 46,453 males and 35,577 females. A total of 11,833 of them had to be hospitalized for influenza, and 321 of them were brought to the ICU. Influenza showed low-level epidemiologic status during the COVID-19 pandemic, and there was a substantial rise in influenza and a surge in the number of cases after the COVID-19 pandemic period. The year 2023 will had the most influenza cases (40,785). The peak incidence of influenza changes in 2022, from July to October, and in 2023, from February to April and from October to December. During the post-pandemic period, the proportion of new-borns and young children among influenza patients decreased, while the proportion of school-age children increased significantly, and the proportion of influenza patients hospitalized and the proportion of ICU admissions decreased. CONCLUSION Influenza showed low-level epidemiologic status during the COVID-19 pandemic. In the post-pandemic period, there is a large increase in influenza incidence, with a double peak in influenza incidence. The proportion of school-age children with influenza has also increased. As a result, we recommend that influenza vaccination for key populations, particularly school-age children, be completed by October of each year in Henan Province, and that the government and schools increase education about nonpharmacological influenza prevention approaches.
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Affiliation(s)
- Wanyu Jia
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, Henan, China
| | - Xue Zhang
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, Henan, China
| | - Ruiyang Sun
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, Henan, China
| | - Peng Li
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, Henan, China
| | - Xinggang Zhen
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, Henan, China
| | - Yu Li
- Chinese Center for Disease Control and Prevention, BeijingBeijing, 100000, China
| | - Daobin Wang
- Zhecheng County People's Hospital, Shangqiu, 476200, Henan, China
| | - Changqing Li
- Xinzheng Huaxin People's Hospital, Zhengzhou, 450000, Henan, China
| | - Chunlan Song
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, Henan, China.
- Present Address. : No. 1, South University Road, Erqi District, Zhengzhou, 450018, Henan, China.
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Jia W, Zhang X, Sun R, Li P, Song C. Impact of the COVID-19 outbreak and interventions on hand, foot and mouth disease in Zhengzhou, China, 2014-2022: a retrospective study. BMC Infect Dis 2024; 24:386. [PMID: 38594638 PMCID: PMC11005130 DOI: 10.1186/s12879-024-09244-w] [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: 12/21/2023] [Accepted: 03/21/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Since December 2019, COVID-19 has spread rapidly around the world, and studies have shown that measures to prevent COVID-19 can largely reduce the spread of other infectious diseases. This study explored the impact of the COVID-19 outbreak and interventions on the incidence of HFMD. METHODS We gathered data on the prevalence of HFMD from the Children's Hospital Affiliated to Zhengzhou University. An autoregressive integrated moving average model was constructed using HFMD incidence data from 2014 to 2019, the number of cases predicted from 2020 to 2022 was predicted, and the predicted values were compared with the actual measurements. RESULTS From January 2014 to October 2022, the Children's Hospital of Zhengzhou University admitted 103,995 children with HFMD. The average number of cases of HFMD from 2020 to 2022 was 4,946, a significant decrease from 14,859 cases from 2014 to 2019. We confirmed the best ARIMA (2,0,0) (1,1,0)12 model. From 2020 to 2022, the yearly number of cases decreased by 46.58%, 75.54%, and 66.16%, respectively, compared with the forecasted incidence. Trends in incidence across sexes and ages displayed patterns similar to those overall. CONCLUSIONS The COVID-19 outbreak and interventions reduced the incidence of HFMD compared to that before the outbreak. Strengthening public health interventions remains a priority in the prevention of HFMD.
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Affiliation(s)
- Wanyu Jia
- Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, No. 1, South University Road, Erqi District, 450018, Zhengzhou, China
| | - Xue Zhang
- Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, No. 1, South University Road, Erqi District, 450018, Zhengzhou, China
| | - Ruiyang Sun
- Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, No. 1, South University Road, Erqi District, 450018, Zhengzhou, China
| | - Peng Li
- Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, No. 1, South University Road, Erqi District, 450018, Zhengzhou, China
| | - Chunlan Song
- Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, No. 1, South University Road, Erqi District, 450018, Zhengzhou, China.
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Akasaki Y, Iwagami M, Sung J, Nagino K, Adachi T, Morita H, Tamari M, Kainuma K, Kan-O K, Ogata H, Sakashita M, Futamura M, Kurashima Y, Nakajima S, Masaki K, Ogawa Y, Sato S, Miyagawa A, Midorikawa-Inomata A, Fujimoto K, Okumura Y, Fujio K, Huang T, Hirosawa K, Morooka Y, Nakao S, Murakami A, Kobayashi H, Inomata T. Impact of COVID-19 on care-seeking patterns for hay fever in Japan: A retrospective claims database cohort study. Allergy 2024; 79:1056-1060. [PMID: 37966466 DOI: 10.1111/all.15947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/02/2023] [Accepted: 11/05/2023] [Indexed: 11/16/2023]
Affiliation(s)
- Yasutsugu Akasaki
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- ENGAGE-Task Force, Tokyo, Japan
| | - Masao Iwagami
- Department of Health Services Research, Institute of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Jaemyoung Sung
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ken Nagino
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takeya Adachi
- ENGAGE-Task Force, Tokyo, Japan
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
- Department of Medical Regulatory Science, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Hideaki Morita
- ENGAGE-Task Force, Tokyo, Japan
- Department of Allergy and Clinical Immunology, National Research Institute for Child Health and Development, Tokyo, Japan
- Allergy Center, National Center for Child Health and Development, Tokyo, Japan
| | - Mayumi Tamari
- ENGAGE-Task Force, Tokyo, Japan
- Division of Molecular Genetics, Research Center for Medical Science, The Jikei University School of Medicine, Tokyo, Japan
| | - Keigo Kainuma
- ENGAGE-Task Force, Tokyo, Japan
- Institute for Clinical Research, National Hospital Organization, Mie National Hospital, Mie, Japan
| | - Keiko Kan-O
- ENGAGE-Task Force, Tokyo, Japan
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroaki Ogata
- ENGAGE-Task Force, Tokyo, Japan
- Department of Respiratory Medicine, NHO Fukuoka National Hospital, Fukuoka, Japan
| | - Masafumi Sakashita
- ENGAGE-Task Force, Tokyo, Japan
- Division of Otorhinolaryngology Head and Neck Surgery, Department of Sensory and Locomotor Medicine, University of Fukui, Fukui, Japan
| | - Masaki Futamura
- ENGAGE-Task Force, Tokyo, Japan
- Department of Pediatrics, National Hospital Organization Nagoya Medical Center, Aichi, Japan
| | - Yosuke Kurashima
- ENGAGE-Task Force, Tokyo, Japan
- Department of Innovative Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- Institute for Advanced Academic Research, Chiba University, Chiba, Japan
- International Research and Development Center for Mucosal Vaccines, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Pathology/Medicine, Allergy and Vaccines, CU-UCSD Center for Mucosal Immunology, University of California, San Diego, California, USA
- Mucosal Immunology and Allergy Therapeutics, Institute for Global Prominent Research, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Saeko Nakajima
- ENGAGE-Task Force, Tokyo, Japan
- Department of Drug Discovery for Inflammatory Skin Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Katsunori Masaki
- ENGAGE-Task Force, Tokyo, Japan
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yasushi Ogawa
- ENGAGE-Task Force, Tokyo, Japan
- Department of Advanced Medicine, Nagoya University Hospital, Aichi, Japan
| | - Sakura Sato
- ENGAGE-Task Force, Tokyo, Japan
- Department of Allergy, Clinical Research Center for Allergy and Rheumatology, NHO Sagamihara National Hospital, Kanagawa, Japan
| | - Akihiro Miyagawa
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
| | - Akie Midorikawa-Inomata
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Keiichi Fujimoto
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuichi Okumura
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kenta Fujio
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tianxiang Huang
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kunihiko Hirosawa
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Morooka
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shintaro Nakao
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akira Murakami
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hiroyuki Kobayashi
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takenori Inomata
- Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
- ENGAGE-Task Force, Tokyo, Japan
- Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Telemedicine and Mobile Health, Juntendo University Graduate School of Medicine, Tokyo, Japan
- AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan
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Naji O, Darwish I, Bessame K, Vaghela T, Hawkins A, Elsakka M, Merai H, Lowe J, Schechter M, Moses S, Busby A, Sullivan K, Wellsted D, Zamir MA, Kandil H. A Comparison of the Epidemiological Characteristics Between Influenza and COVID-19 Patients: A Retrospective, Observational Cohort Study. Cureus 2023; 15:e49280. [PMID: 38143669 PMCID: PMC10746956 DOI: 10.7759/cureus.49280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2023] [Indexed: 12/26/2023] Open
Abstract
Background and objective It is crucial to make early differentiation between coronavirus disease 2019 (COVID-19) and seasonal influenza infections at the time of a patient's presentation to the emergency department (ED). In light of this, this study aimed to identify key epidemiological, initial laboratory, and radiological differences that would enable early recognition during co-circulation. Methods This was a retrospective, observational cohort study. All adult patients presenting to our ED at the Watford General Hospital, UK, with a laboratory-confirmed diagnosis of COVID-19 (2019/20) or influenza (2018/19) infection were included in this study. Demographic, laboratory, and radiological data were collected. Binary logistic regression was employed to determine features associated with COVID-19 infection rather than influenza. Results Chest radiographs suggestive of viral pneumonitis and older age (≥80 years) were associated with increased odds of having COVID-19 [odds ratio (OR): 47.00, 95% confidence interval (CI): 21.63-102.13 and OR: 64.85, 95% CI: 19.96-210.69 respectively]. Low eosinophils (<0.02 x 109/L) were found to increase the odds of COVID-19 (OR: 2.12, 95% CI: 1.44-3.10, p<0.001). Conclusions Gaining awareness about the epidemiological, biological, and radiologic presentation of influenza-like illness can be useful for clinicians in ED to differentiate between COVID-19 and influenza. This study showed that older age, eosinopenia, and radiographic evidence of viral pneumonitis significantly increase the odds of having COVID-19 compared to influenza. Further research is needed to determine if these findings are affected by acquired or natural immunity.
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Affiliation(s)
- Omar Naji
- Orthopaedics, West Hertfordshire Hospitals NHS Trust, Watford, GBR
| | - Iman Darwish
- Internal Medicine, West Hertfordshire Hospitals NHS Trust, Watford, GBR
| | - Khaoula Bessame
- Radiology, West Hertfordshire Hospitals NHS Trust, Watford, GBR
| | - Tejal Vaghela
- Corporate Department, West Hertfordshire Hospitals NHS Trust, Watford, GBR
| | - Anja Hawkins
- Microbiology, West Hertfordshire Hospitals NHS Trust, Watford, GBR
| | - Mohamed Elsakka
- Radiology, West Hertfordshire Hospitals NHS Trust, Watford, GBR
| | - Hema Merai
- Radiology, West Hertfordshire Hospitals NHS Trust, Watford, GBR
| | - Jeremy Lowe
- Corporate Department, West Hertfordshire Hospitals NHS Trust, Watford, GBR
| | - Miriam Schechter
- Corporate Department, West Hertfordshire Hospitals NHS Trust, Watford, GBR
| | - Samuel Moses
- Virology, East Kent Hospitals University NHS Foundation, Kennington, GBR
| | - Amanda Busby
- Health Research Methods Unit, University of Hertfordshire, Hatfield, GBR
| | - Keith Sullivan
- Health Research Methods Unit, University of Hertfordshire, Hatfield, GBR
| | - David Wellsted
- Health Research Methods Unit, University of Hertfordshire, Hatfield, GBR
| | | | - Hala Kandil
- Microbiology, West Hertfordshire Hospitals NHS Trust, Watford, GBR
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Hao Y, Cheng L, Lu D. Epidemiological Study of Respiratory Virus Infections among Hospitalized Children Aged 14 Years and Younger during COVID-19 Pandemic in Wuhan, China, 2018-2022. J Glob Infect Dis 2023; 15:149-155. [PMID: 38292693 PMCID: PMC10824227 DOI: 10.4103/jgid.jgid_138_23] [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: 08/18/2023] [Revised: 09/15/2023] [Accepted: 10/10/2023] [Indexed: 02/01/2024] Open
Abstract
Introduction The viral etiological characteristics and prevalence of hospitalized children with acute respiratory tract infection were preliminary studied in Wuhan City during the COVID-19 pandemic, to provide a reliable scientific basis for better understanding of the role of various pathogens in cases and for the prevention and clinical treatment of acute respiratory tract infection. Methods A total of 69,086 children with acute respiratory infections hospitalized and treated in our department from January 2018 to December 2022 were enrolled as our research subjects. Sociodemographic and clinical data as well as nasopharyngeal samples were collected from patients. Respiratory syncytial virus (RSV), adenovirus (ADV), infuenza virus A (FluA), infuenza virus B (FluB), and parainfluenza virus (PIV) were detected by direct immunofluorescence (DFA) to understand and analyze the epidemic characteristics of respiratory pathogens in children during the COVID-19 pandemic. Results The total detection rate of respiratory pathogens was 24.52% of the 69,086 hospitalized children. The frequency of respiratory viruses in those ADV, RSV, FluA, FluB, and PIV was 14.67%, 46.40%, 7.76%, 5.23%, and 25.95%. There were significant differences between the various pathogens (P < 0.001). There were the fewest pathogen-positive patients and positive detection rate in 2020 during the COVID-19 pandemic. There were significant differences in the pathogen detection rate among different years (P < 0.001). In addition, the results showed that the total detection rate of respiratory virus tested in different age groups was significantly different (P < 0.001). The positive detection rate was highest in the 1-3-year-old age group, which is prone to acute respiratory infections. We also found that different pathogens showed obvious seasonal fluctuation and epidemic. RSV reached its peak in winter. ADV is mainly prevalent in spring and summer. FluA has a high detection rate in winter. Winter and spring are the peak seasons for FluB infection, whereas PIV is detected in all seasons, with a higher incidence rate in the spring and summer. Conclusion The epidemiological distribution of pathogens of acute respiratory tract infection in hospitalized children in Wuhan from 2018 to 2022 varies with gender, age, and season. Nonpharmaceutical interventions (NPIs) were implemented as control measures worldwide and reduced the transmission of respiratory pathogens. NPIs are likely to be the primary driver of the dramatic reduction in respiratory virus infection activity in the early stages of the COVID-19 pandemic, to dissolving NPIs can lead to a recurrence of viral infection pathogens, especially in children.
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Affiliation(s)
- Yingchan Hao
- Department of Laboratory, Maternal and Child Health Hospital of Hubei Province, Wuhan, China
| | - Li Cheng
- Department of Laboratory, Maternal and Child Health Hospital of Hubei Province, Wuhan, China
| | - Dan Lu
- Department of Laboratory, Maternal and Child Health Hospital of Hubei Province, Wuhan, China
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da Costa VG, Gomes AJC, Bittar C, Geraldini DB, Previdelli da Conceição PJ, Cabral ÁS, Carvalho T, Biselli JM, Provazzi PJS, Campos GRF, Sanches PRDS, Costa PI, Nogueira ML, Araujo JP, Spilki FR, Calmon MF, Rahal P. Burden of Influenza and Respiratory Syncytial Viruses in Suspected COVID-19 Patients: A Cross-Sectional and Meta-Analysis Study. Viruses 2023; 15:665. [PMID: 36992374 PMCID: PMC10055802 DOI: 10.3390/v15030665] [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: 01/18/2023] [Revised: 02/11/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Non-SARS-CoV-2 respiratory viral infections, such as influenza virus (FluV) and human respiratory syncytial virus (RSV), have contributed considerably to the burden of infectious diseases in the non-COVID-19 era. While the rates of co-infection in SARS-CoV-2-positive group (SCPG) patients have been determined, the burden of other respiratory viruses in the SARS-CoV-2-negative group (SCNG) remains unclear. Here, we conducted a cross-sectional study (São José do Rio Preto county, Brazil), and we collected our data using a meta-analysis to evaluate the pooled prevalence of FluV and RSV among SCNG patients. Out of the 901 patients suspected of COVID-19, our molecular results showed positivity of FluV and RSV in the SCNG was 2% (15/733) and 0.27% (2/733), respectively. Co-infection with SARS-CoV-2 and FluV, or RSV, was identified in 1.7% of the patients (3/168). Following our meta-analysis, 28 studies were selected (n = 114,318 suspected COVID-19 patients), with a pooled prevalence of 4% (95% CI: 3-6) for FluV and 2% (95% CI: 1-3) for RSV among SCNG patients were observed. Interestingly, FluV positivity in the SCNG was four times higher (OR = 4, 95% CI: 3.6-5.4, p < 0.01) than in the SCPG. Similarly, RSV positivity was significantly associated with SCNG patients (OR = 2.9, 95% CI: 2-4, p < 0.01). For subgroup analysis, cold-like symptoms, including fever, cough, sore throat, headache, myalgia, diarrhea, and nausea/vomiting, were positively associated (p < 0.05) with the SCPG. In conclusion, these results show that the pooled prevalence of FluV and RSV were significantly higher in the SCNG than in the SCPG during the early phase of the COVID-19 pandemic.
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Affiliation(s)
- Vivaldo Gomes da Costa
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
| | - Ana Júlia Chaves Gomes
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
| | - Cíntia Bittar
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
| | - Dayla Bott Geraldini
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
| | - Pâmela Jóyce Previdelli da Conceição
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
| | - Ágata Silva Cabral
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
| | - Tamara Carvalho
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
| | - Joice Matos Biselli
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
| | - Paola Jocelan Scarin Provazzi
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
| | - Guilherme Rodrigues Fernandes Campos
- Laboratório de Pesquisas em Virologia (LPV), Departamento de Doenças Dermatológicas, Infecciosas e Parasitárias, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - Paulo Ricardo da Silva Sanches
- Laboratório de Virologia Molecular, Departamento de Ciências Biológicas, Faculdade de Ciências Farmacêuticas (UNESP), Araraquara 14800-903, SP, Brazil
| | - Paulo Inácio Costa
- Departamento de Análises Clínicas, Faculdade de Ciências Farmacêuticas (UNESP), Araraquara 14801-360, SP, Brazil
| | - Maurício Lacerda Nogueira
- Laboratório de Pesquisas em Virologia (LPV), Departamento de Doenças Dermatológicas, Infecciosas e Parasitárias, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - João Pessoa Araujo
- Instituto de Biotecnologia, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Botucatu 18607-440, SP, Brazil
| | - Fernando Rosado Spilki
- Laboratório de Microbiologia Molecular, Instituto de Ciências da Saúde, Universidade Feevale, Novo Hamburgo 93525-075, RS, Brazil
| | - Marília Freitas Calmon
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
| | - Paula Rahal
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São José do Rio Preto 15054-000, SP, Brazil
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7
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Jiang B, Wang Z, Jia M, Yan H, Su Z, Liu S, Yang W, Qiao YL, Feng L. Awareness, knowledge and attitude toward influenza vaccination in several population groups in China: A cross-sectional study. Front Public Health 2022; 10:950532. [PMID: 36330121 PMCID: PMC9624296 DOI: 10.3389/fpubh.2022.950532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 09/26/2022] [Indexed: 01/21/2023] Open
Abstract
Background We aimed to comprehensively analyze awareness, knowledge and attitude toward influenza vaccine and the factors associated to vaccine acceptance among the young and middle-aged general population, healthcare workers, and health-related administrators in China. The factors influencing the promotion of influenza vaccination were also evaluated among healthcare workers and administrators. Methods This is a multicenter, cross-sectional study. General population adults, healthcare workers (HCWs), and health administrators were enrolled in seven regions across China during the 2020-2021 flu season. Data were collected via an online questionnaire, which included information request as to awareness, knowledge, and attitude toward influenza vaccination. Statistical significance set at p-values < 0.05. Results A total of 3,239 individuals were included in our analyses. There were gaps in consciousness to action, especially between awareness (87.1%) and knowledge (57.7%), and between willingness (57.3%) and vaccination (22.3%). The downward trends were similar in all three groups. HCW group and the health administrator group showed more positive propensity to accept influenza vaccines than the general population group. For the general population group, those with a lower educational level (lower than a bachelor's degree) were less likely to be vaccinated (aOR = 0.66, 95% CI: 0.45-0.96). For the HCW group, practitioners older than 45 years were more reluctant to be vaccinated than those under 25 years (aOR = 0.41, 95% CI: 0.19-0.86). For the health administrator group, personnel aged 26 years and above were less inclined to be vaccinated (aORs = 0.17-0.20). In all groups, people who had received influenza vaccines in the past 5 years (aOR = 1.72, 95% CI: 1.31-2.26 in general population group, 13.05, 95% CI: 7.71-22.10 in HCW group, and 19.30, 95% CI: 9.66-42.63 in health administrator group) were more likely to be vaccinated in future seasons. People who were not covered by the free program or those without awareness of the related programs were less likely to be vaccinated (aORs < 0.63). Most (70.8%) of HCWs showed intention to recommend the influenza vaccine. Clinical doctors, those who had flu shots themselves, and those who had more knowledge, were more like to make recommendations. Health administrators stated that insufficient budget resources and workforce, and low public awareness are main difficulties in the promotion of influenza vaccine. Conclusion The influencing factors of the attitude toward influenza vaccination vary across populations. Governments need to carry out focused vaccination promotion programs, especially for healthcare workers, to improve the coverage of influenza vaccination.
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Affiliation(s)
- Binshan Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhenzhong Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Mengmeng Jia
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,*Correspondence: Mengmeng Jia
| | - Huijiao Yan
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng Su
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shujun Liu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weizhong Yang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - You-lin Qiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Luzhao Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China,Luzhao Feng
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The secondary outcome of public health measures amidst the COVID-19 pandemic in the spread of other respiratory infectious diseases in Thailand. Travel Med Infect Dis 2022; 48:102348. [PMID: 35523394 PMCID: PMC9065650 DOI: 10.1016/j.tmaid.2022.102348] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 04/17/2022] [Accepted: 04/25/2022] [Indexed: 01/10/2023]
Abstract
The coronavirus disease 2019 (COVID-19) has promoted stringent public health measures such as hand hygiene, face mask wearing, and physical distancing to contain the spread of the viral infection. In this retrospective study, the secondary outcomes of those public health measures on containing other respiratory infections among the Thai population were investigated. Hospitalization data spanning from 2016 to 2021 of six respiratory infectious diseases, namely influenza, measles, pertussis, pneumonia, scarlet fever, and tuberculosis (TB), were examined. First, the expected respiratory infectious cases where no public health measures are in place are estimated using the seasonal autoregressive integrated moving average (SARIMA) model. Then the expected number of cases and the observed cases were compared. The results showed a significant drop in the incidence of respiratory infectious diseases by an average of 61%. The reduction in hospitalization is significant for influenza, measles, pertussis, pneumonia, and scarlet fever (p < 0.05), while insignificant for TB (p = 0.54). The notable decrease in the incidence of cases is ascribed to the implementation of public health measures that minimized the opportunity for spread of disease. This decline in cases following relaxation of pandemic countermeasure is contingent on its scope and nature, and it is proof that selective physical distancing, hand hygiene, and use of face masks in public places is a viable route for mitigating respiratory morbidities.
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