Open AccessAdenovirus Infection Rate of Chinese Children with Respiratory Diseases: A Meta-analysis
Author(s) -
Shuting Yue,
Na Li,
Jian Chen,
Xiaohu Dai
Publication year - 2019
Publication title -
journal of public health issues and practices
Language(s) - English
Resource type - Journals
ISSN - 2581-7264
DOI - 10.33790/jphip1100133
Subject(s) - adenovirus infection , medicine , respiratory system , confidence interval , meta analysis , respiratory infection , epidemiology , inclusion and exclusion criteria , subgroup analysis , immunology , virus , pathology , alternative medicine
Objectives: To analysis the epidemiological characteristics of adenovirus infection rate of Chinese children with respiratory diseases.Methods: Database such as PubMed, EMbase, CNKI, VIP and Wan Fang Data were searched for studies investigating adenovirus infection rate of Chinese children with respiratory diseases up to August 1st, 2018. Screened literature, exacted data, and methodological quality assessment of included studies according to the inclusion and exclusion criteria, then used the Stata11.0 for Meta-analysis.Results: The analysis of 54 studies showed that the rate of adenovirus infection in children with respiratory diseases in China was 4.5%, and the confidence interval was 3.7% to 5.6%. Subgroup analysis indicated that the adenovirus infection rates of children with respiratory diseases in northern and southern China were 8.3% and 3.5%, respectively. The detection rate of polymerase chain reaction (PCR) was 7.8%, and the immune fluorescence and ELISA methods were 2.6% and 8.8%, respectively. The adenovirus infection rates of sample size in 1000 cases, 1000-5000 cases and more than 5000 cases were 5.8%, 4.7% and 3.1%, respectively. Adenovirus infection rates published in the 2000-2005, 2006-2010, and 2011-2018 groups were 3.5%, 1.4%, and 4.8%, respectively. The adenovirus infection rates in the 1 year, 1-3 years and 3 years were 5.3%, 4.8%, and 3.6%, respectively.Conclusions: The adenovirus infection rate of Chinese children with respiratory diseases is different in different areas, test methods, sample size, the published time and study span.