Variation in Influenza B Virus Epidemiology by Lineage, China

Yang, Juan; Lau, Yiu Chung; Wu, Peng; Feng, Luzhao; Wang, Xiling; Chen, Tao; Ali, Sheikh Taslim; Peng, Zhibin; Fang, Vicky J.; Zhang, Juanjuan; He, Yingzi; Lau, Eric H Y; Qin, Ying; Yang, Jing; Zheng, Jiandong; Jiang, Hui; Yu, Hongjie; Cowling, Benjamin J.

doi:10.3201/eid2408.180063

Cited by 50 publications

(38 citation statements)

References 14 publications

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“…It should be noted that another peak of RR in high temperature for Flu-A was observed in the study. This finding was supported by previous studies, which reported the semiannual epidemic in the summer in subtropical cities in China (Yang et al, 2018a;Yang et al, 2018b;Ye et al, 2019). The potential reasons for this semiannual epidemic required further research.…”

Section: Discussionsupporting

confidence: 87%

The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China

Zhang

et al. 2020

Science of The Total Environment

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h i g h l i g h t sHigh temperature only associated with influenza A occurrence. High diurnal temperature range (DTR) causes more influenza A cases. Low DTR causes more influenza B cases. High DTR and low temperature were the key drivers for influenza A and B separately. g r a p h i c a l a b s t r a c t X-axis: The value of climate variable; Y-axis: 2-weeks lagged cumulative relative risk (RR), indicating the number of times more likely to have influenza compared to reference value (Ref); Solid line: RR value; Grey shadow: 95% confidence interval (95% CI). a b s t r a c tMost previous studies focused on the association between climate variables and seasonal influenza activity in tropical or temperate zones, little is known about the associations in different influenza types in subtropical China. The study aimed to explore the associations of multiple climate variables with influenza A (Flu-A) and B virus (Flu-B) transmissions in Shanghai, China. Weekly influenza virus and climate data (mean temperature (MeanT), diurnal temperature range (DTR), relative humidity (RH) and wind velocity (Wv)) were collected between June 2012 and December 2018. Generalized linear models (GLMs), distributed lag non-linear models (DLNMs) and regression tree models were developed to assess such associations. MeanT exerted the peaking risk of Flu-A at 1.4°C (2-weeks' cumulative relative risk (RR): 14.88, 95% confidence interval (CI): 8.67-23.31) and 25.8°C (RR: 12.21, 95%CI: 6.64-19.83), Flu-B had the peak at 1. 4°C (RR: 26.44,). The highest RR of Flu-A was 23.05 (95%CI: 5.12-88.45) at DTR of 15.8°C, that of Flu-B was 38.25 (95%CI: 15.82-87.61) at 3.2°C. RH of 51.5% had the highest RR of Flu-A (9.98, 95%CI: 4.03-26.28) and Flu-B (4.63, 95%CI: 1.95-11.27). Wv of 3.5 m/s exerted the peaking RR of Flu-A (7.48, 95%CI: 2.73-30.04) and . DTR 12°C and MeanT <22°C were the key drivers for Flu-A and Flu-B, separately. The study found j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l oc a t e / s c i t o t e n v complex non-linear relationships between climate variability and different influenza types in Shanghai. We suggest the careful use of meteorological variables in influenza prediction in subtropical regions, considering such complex associations, which may facilitate government and health authorities to better minimize the impacts of seasonal influenza.

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Section: Discussionsupporting

confidence: 87%

The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China

Zhang

et al. 2020

Science of The Total Environment

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“…A relatively high B/Yamagata percentage was found in older adults in the present study. These results are consistent with the results of recent studies in China, and which may be explained by exposure to the virus early in life and genetic difference [13,14,21]. In China, influenza vaccination is mostly self-paid, with all-age coverage as low as 2% [5].…”

Section: Discussionsupporting

confidence: 91%

“…The positive rate was calculated by dividing the number of samples positive for influenza virus by the total number of samples tested. The age-specific influenza positive rate by subtype/lineage was calculated as the number of sentinel specimens testing positive for each subtype/lineage (numerator) among the ILI cases recruited for specimen collection (denominator) in each corresponding age group [21].…”

Section: Discussionmentioning

confidence: 99%

Characteristics of Seasonal Influenza Virus Activity in a Subtropical City in China, 2013–2019

Zhu

Liu

et al. 2020

Vaccines

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Background: To optimize seasonal influenza vaccination programs in regions with potentially complicated seasonal patterns, the epidemiological characteristics of seasonal influenza activity in a subtropical city of China were explored. Materials and Methods: Influenza virus data of patients with influenza-like illness (ILI) during 2013-2019 were collected from two sentinel hospitals in a subtropical region of China, Yichang city. The influenza virus positive rate among sampled ILI cases served as a proxy to estimate influenza seasonal characteristics, including periodicity, duration, peaks, and predominant subtypes/lineages. Epidemiological features of different years, seasons and age groups were analyzed, and vaccine mismatches were identified. Results: In total, 8693 ILI cases were included; 1439 (16.6%) were laboratory-confirmed influenza cases. The influenza A positive rate (10.6%) was higher than the influenza B positive rate (5.9%). There were three influenza were both mismatched with the influenza B component of the trivalent vaccine. Children 5-14 years old (26.4%) and individuals over 60 years old (16.9%) had the highest influenza positive rates. Conclusions: The seasonal epidemic period and the predominant subtype/lineage of influenza viruses in Yichang city are complex. Influenza vaccination timing and strategies need to be optimized according to the local features of influenza virus activity.

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“…Influenza A virus infection has gained much more attention because of its high morbidity and mortality. Influenza B virus infection is found to be as serious as influenza A virus infection in terms of substantial hospital admissions and deaths worldwide every year (Dawood et al, 2010;Paddock et al, 2012;Yang et al, 2018). An epidemic of influenza B occurred in China during winter 2017-2018.…”

Section: Introductionmentioning

confidence: 99%

Naproxen Exhibits Broad Anti-influenza Virus Activity in Mice by Impeding Viral Nucleoprotein Nuclear Export

et al. 2019

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Variation in Influenza B Virus Epidemiology by Lineage, China

Abstract: We used national sentinel surveillance data in China for 2005–2016 to examine the lineage-specific epidemiology of influenza B. Influenza B viruses circulated every year with relatively lower activity than influenza A. B/Yamagata was more frequently detected in adults than in children.

Cited by 50 publications

References 14 publications

The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China

The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China

Characteristics of Seasonal Influenza Virus Activity in a Subtropical City in China, 2013–2019

Naproxen Exhibits Broad Anti-influenza Virus Activity in Mice by Impeding Viral Nucleoprotein Nuclear Export

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