Seasonality of common respiratory viruses: Analysis of nationwide time-series data

被引:2
|
作者
An, Tai Joon [1 ]
Lee, Jangwon [2 ]
Shin, Myoungin [3 ]
Rhee, Chin Kook [4 ]
机构
[1] Catholic Univ Korea, Yeouido St Marys Hosp, Dept Internal Med, Div Pulm & Crit Care Med,Coll Med, Seoul, South Korea
[2] Korea Univ, Dept Stat, Seoul, South Korea
[3] Sejong Univ, Dept Ocean Syst Engn, Seoul, South Korea
[4] Catholic Univ Korea, Seoul St Marys Hosp, Dept Internal Med, Div Pulm & Crit Care Med,Coll Med, Seoul, South Korea
关键词
dynamic time warping; respiratory tract infection; seasonal autoregressive integrated moving average; time-series analysis; viruses; PARAINFLUENZA VIRUS; COVID-19;
D O I
10.1111/resp.14818
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background and ObjectiveUnderstanding the seasonal behaviours of respiratory viruses is crucial for preventing infections. We evaluated the seasonality of respiratory viruses using time-series analyses.MethodsThis study analysed prospectively collected nationwide surveillance data on eight respiratory viruses, gathered from the Korean Influenza and Respiratory Surveillance System. The data were collected on a weekly basis by 52 nationwide primary healthcare institutions between 2015 and 2019. We performed Spearman correlation analyses, similarity analyses via dynamic time warping (DTW) and seasonality analyses using seasonal autoregressive integrated moving average (SARIMA).ResultsThe prevalence of rhinovirus (RV, 23.6%-31.4%), adenovirus (AdV, 9.2%-16.6%), human coronavirus (HCoV, 3.0%-6.6%), respiratory syncytial virus (RSV, 11.7%-20.1%), influenza virus (IFV, 11.7%-21.5%), parainfluenza virus (PIV, 9.2%-12.6%), human metapneumovirus (HMPV, 5.6%-6.9%) and human bocavirus (HBoV, 5.0%-6.4%) were derived. Most of them exhibited a high positive correlation in Spearman analyses. In DTW analyses, all virus data from 2015 to 2019, except AdV, exhibited good alignments. In SARIMA, AdV and RV did not show seasonality. Other viruses showed 12-month seasonality. We describe the viruses as winter viruses (HCoV, RSV and IFV), spring/summer viruses (PIV, HBoV), a spring virus (HMPV) and all-year viruses with peak incidences during school periods (RV and AdV).ConclusionThis is the first study to comprehensively analyse the seasonal behaviours of the eight most common respiratory viruses using nationwide, prospectively collected, sentinel surveillance data. imageConclusionThis is the first study to comprehensively analyse the seasonal behaviours of the eight most common respiratory viruses using nationwide, prospectively collected, sentinel surveillance data. image We revealed the seasonal behaviour of respiratory viruses through time-series analysis using nationwide surveillance data from South Korea. Even before and after the COVID-19 pandemic, respiratory viruses were categorized by season: winter (coronavirus, respiratory syncytial virus and influenza virus), spring/summer (parainfluenza and bocavirus), spring (metapneumovirus) and all-year (rhinovirus and adenovirus).image
引用
收藏
页码:985 / 993
页数:9
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