Influenza-associated disease burden in mainland China: a systematic review and meta-analysis

Abstract Influenza causes substantial morbidity and mortality. Many original studies have been carried out to estimate disease burden of influenza in mainland China, while the full disease burden has not yet been systematically reviewed. We did a systematic review and meta-analysis to assess the bur...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Jing Li, Yinzi Chen, Xiling Wang, Hongjie Yu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/ec4f83cf92814b7595fe3fcd16ff5bee
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:ec4f83cf92814b7595fe3fcd16ff5bee
record_format dspace
spelling oai:doaj.org-article:ec4f83cf92814b7595fe3fcd16ff5bee2021-12-02T10:44:22ZInfluenza-associated disease burden in mainland China: a systematic review and meta-analysis10.1038/s41598-021-82161-z2045-2322https://doaj.org/article/ec4f83cf92814b7595fe3fcd16ff5bee2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82161-zhttps://doaj.org/toc/2045-2322Abstract Influenza causes substantial morbidity and mortality. Many original studies have been carried out to estimate disease burden of influenza in mainland China, while the full disease burden has not yet been systematically reviewed. We did a systematic review and meta-analysis to assess the burden of influenza-associated mortality, hospitalization, and outpatient visit in mainland China. We searched 3 English and 4 Chinese databases with studies published from 2005 to 2019. Studies reporting population-based rates of mortality, hospitalization, or outpatient visit attributed to seasonal influenza were included in the analysis. Fixed-effects or random-effects model was used to calculate pooled estimates of influenza-associated mortality depending on the degree of heterogeneity. Meta-regression was applied to explore the sources of heterogeneity. Publication bias was assessed by funnel plots and Egger’s test. We identified 30 studies eligible for inclusion with 17, 8, 5 studies reporting mortality, hospitalization, and outpatient visit associated with influenza, respectively. The pooled influenza-associated all-cause mortality rates were 14.33 and 122.79 per 100,000 persons for all ages and ≥ 65 years age groups, respectively. Studies were highly heterogeneous in aspects of age group, cause of death, statistical model, geographic location, and study period, and these factors could explain 60.14% of the heterogeneity in influenza-associated mortality. No significant publication bias existed in estimates of influenza-associated all-cause mortality. Children aged < 5 years were observed with the highest rates of influenza-associated hospitalizations and ILI outpatient visits. People aged ≥ 65 years and < 5 years contribute mostly to mortality and morbidity burden due to influenza, which calls for targeted vaccination policy for older adults and younger children in mainland China.Jing LiYinzi ChenXiling WangHongjie YuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jing Li
Yinzi Chen
Xiling Wang
Hongjie Yu
Influenza-associated disease burden in mainland China: a systematic review and meta-analysis
description Abstract Influenza causes substantial morbidity and mortality. Many original studies have been carried out to estimate disease burden of influenza in mainland China, while the full disease burden has not yet been systematically reviewed. We did a systematic review and meta-analysis to assess the burden of influenza-associated mortality, hospitalization, and outpatient visit in mainland China. We searched 3 English and 4 Chinese databases with studies published from 2005 to 2019. Studies reporting population-based rates of mortality, hospitalization, or outpatient visit attributed to seasonal influenza were included in the analysis. Fixed-effects or random-effects model was used to calculate pooled estimates of influenza-associated mortality depending on the degree of heterogeneity. Meta-regression was applied to explore the sources of heterogeneity. Publication bias was assessed by funnel plots and Egger’s test. We identified 30 studies eligible for inclusion with 17, 8, 5 studies reporting mortality, hospitalization, and outpatient visit associated with influenza, respectively. The pooled influenza-associated all-cause mortality rates were 14.33 and 122.79 per 100,000 persons for all ages and ≥ 65 years age groups, respectively. Studies were highly heterogeneous in aspects of age group, cause of death, statistical model, geographic location, and study period, and these factors could explain 60.14% of the heterogeneity in influenza-associated mortality. No significant publication bias existed in estimates of influenza-associated all-cause mortality. Children aged < 5 years were observed with the highest rates of influenza-associated hospitalizations and ILI outpatient visits. People aged ≥ 65 years and < 5 years contribute mostly to mortality and morbidity burden due to influenza, which calls for targeted vaccination policy for older adults and younger children in mainland China.
format article
author Jing Li
Yinzi Chen
Xiling Wang
Hongjie Yu
author_facet Jing Li
Yinzi Chen
Xiling Wang
Hongjie Yu
author_sort Jing Li
title Influenza-associated disease burden in mainland China: a systematic review and meta-analysis
title_short Influenza-associated disease burden in mainland China: a systematic review and meta-analysis
title_full Influenza-associated disease burden in mainland China: a systematic review and meta-analysis
title_fullStr Influenza-associated disease burden in mainland China: a systematic review and meta-analysis
title_full_unstemmed Influenza-associated disease burden in mainland China: a systematic review and meta-analysis
title_sort influenza-associated disease burden in mainland china: a systematic review and meta-analysis
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/ec4f83cf92814b7595fe3fcd16ff5bee
work_keys_str_mv AT jingli influenzaassociateddiseaseburdeninmainlandchinaasystematicreviewandmetaanalysis
AT yinzichen influenzaassociateddiseaseburdeninmainlandchinaasystematicreviewandmetaanalysis
AT xilingwang influenzaassociateddiseaseburdeninmainlandchinaasystematicreviewandmetaanalysis
AT hongjieyu influenzaassociateddiseaseburdeninmainlandchinaasystematicreviewandmetaanalysis
_version_ 1718396798599430144