Global burden and trends of respiratory syncytial virus infection across different age groups from 1990 to 2019: A systematic analysis of the Global Burden of Disease 2019 Study
Objective: Understanding the global patterns of respiratory syncytial virus (RSV) is crucial for developing effective prevention and control strategies. Methods: Data on RSV-related burden were extracted from the Global Burden of Disease 2019. Joinpoint regression models were used to assess the glob...
Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2023-10-01
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Series: | International Journal of Infectious Diseases |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971223006938 |
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author | Yuxia Du Rui Yan Xiaoyue Wu Xiaobao Zhang Can Chen Daixi Jiang Mengya Yang Kexin Cao Mengsha Chen Yue You Wenkai Zhou Dingmo Chen Gang Xu Shigui Yang |
author_facet | Yuxia Du Rui Yan Xiaoyue Wu Xiaobao Zhang Can Chen Daixi Jiang Mengya Yang Kexin Cao Mengsha Chen Yue You Wenkai Zhou Dingmo Chen Gang Xu Shigui Yang |
author_sort | Yuxia Du |
collection | DOAJ |
description | Objective: Understanding the global patterns of respiratory syncytial virus (RSV) is crucial for developing effective prevention and control strategies. Methods: Data on RSV-related burden were extracted from the Global Burden of Disease 2019. Joinpoint regression models were used to assess the global temporal trends of RSV and further stratified analyses were conducted according to the Socio-demographic Index (SDI), which is a composite measure of income, education, and total fertility. Age-period-cohort model was used to evaluate age, period, and cohort effects. Results: In 2019, the global age-standardized rate of mortality (ASMR) and disability-adjusted life years (ASR-DALYs) of RSV were 4.79/100,000 (95% uncertainty interval [95% UI]: 1.82/100,000-9.32/100,000) and 218.34/100,000 (95% UI: 92.06/100,000-376.80/100,000), respectively. The burden of RSV was higher in men than women. The highest ASMR (10.26/100,000, 3.80/100,000-20.16/100,000) and ASR-DALYs (478.71/100,000, 202.40/100,000-840.85/100,000) were reported in low-SDI region. Although mortality and DALYs rates in all age groups declined globally, the pace of decline was not uniform across age groups. Mortality rate in the elderly over 70 years surpassed that in children under 5 years in 2019. Conclusion: This study highlights the need for targeted interventions to reduce the burden of RSV, particularly in low-SDI region, and among the elderly over 70 years. |
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issn | 1201-9712 |
language | English |
last_indexed | 2024-03-11T21:54:43Z |
publishDate | 2023-10-01 |
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series | International Journal of Infectious Diseases |
spelling | doaj.art-66496736276f446f99050837b74b0a6a2023-09-26T04:12:04ZengElsevierInternational Journal of Infectious Diseases1201-97122023-10-011357076Global burden and trends of respiratory syncytial virus infection across different age groups from 1990 to 2019: A systematic analysis of the Global Burden of Disease 2019 StudyYuxia Du0Rui Yan1Xiaoyue Wu2Xiaobao Zhang3Can Chen4Daixi Jiang5Mengya Yang6Kexin Cao7Mengsha Chen8Yue You9Wenkai Zhou10Dingmo Chen11Gang Xu12Shigui Yang13Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, ChinaSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases. The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China; Corresponding author: Tel.: 13605705640.Objective: Understanding the global patterns of respiratory syncytial virus (RSV) is crucial for developing effective prevention and control strategies. Methods: Data on RSV-related burden were extracted from the Global Burden of Disease 2019. Joinpoint regression models were used to assess the global temporal trends of RSV and further stratified analyses were conducted according to the Socio-demographic Index (SDI), which is a composite measure of income, education, and total fertility. Age-period-cohort model was used to evaluate age, period, and cohort effects. Results: In 2019, the global age-standardized rate of mortality (ASMR) and disability-adjusted life years (ASR-DALYs) of RSV were 4.79/100,000 (95% uncertainty interval [95% UI]: 1.82/100,000-9.32/100,000) and 218.34/100,000 (95% UI: 92.06/100,000-376.80/100,000), respectively. The burden of RSV was higher in men than women. The highest ASMR (10.26/100,000, 3.80/100,000-20.16/100,000) and ASR-DALYs (478.71/100,000, 202.40/100,000-840.85/100,000) were reported in low-SDI region. Although mortality and DALYs rates in all age groups declined globally, the pace of decline was not uniform across age groups. Mortality rate in the elderly over 70 years surpassed that in children under 5 years in 2019. Conclusion: This study highlights the need for targeted interventions to reduce the burden of RSV, particularly in low-SDI region, and among the elderly over 70 years.http://www.sciencedirect.com/science/article/pii/S1201971223006938Respiratory syncytial virusEpidemiologic characteristicsAge-period-cohort modelTrends |
spellingShingle | Yuxia Du Rui Yan Xiaoyue Wu Xiaobao Zhang Can Chen Daixi Jiang Mengya Yang Kexin Cao Mengsha Chen Yue You Wenkai Zhou Dingmo Chen Gang Xu Shigui Yang Global burden and trends of respiratory syncytial virus infection across different age groups from 1990 to 2019: A systematic analysis of the Global Burden of Disease 2019 Study International Journal of Infectious Diseases Respiratory syncytial virus Epidemiologic characteristics Age-period-cohort model Trends |
title | Global burden and trends of respiratory syncytial virus infection across different age groups from 1990 to 2019: A systematic analysis of the Global Burden of Disease 2019 Study |
title_full | Global burden and trends of respiratory syncytial virus infection across different age groups from 1990 to 2019: A systematic analysis of the Global Burden of Disease 2019 Study |
title_fullStr | Global burden and trends of respiratory syncytial virus infection across different age groups from 1990 to 2019: A systematic analysis of the Global Burden of Disease 2019 Study |
title_full_unstemmed | Global burden and trends of respiratory syncytial virus infection across different age groups from 1990 to 2019: A systematic analysis of the Global Burden of Disease 2019 Study |
title_short | Global burden and trends of respiratory syncytial virus infection across different age groups from 1990 to 2019: A systematic analysis of the Global Burden of Disease 2019 Study |
title_sort | global burden and trends of respiratory syncytial virus infection across different age groups from 1990 to 2019 a systematic analysis of the global burden of disease 2019 study |
topic | Respiratory syncytial virus Epidemiologic characteristics Age-period-cohort model Trends |
url | http://www.sciencedirect.com/science/article/pii/S1201971223006938 |
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