Subtypes specified environmental dependence of seasonal influenza virus

Zhang, Bing; Chen, Tao; Liang, Shijie; Shen, Wei; Sun, Qianru; Wang, Daoze; Wang, Gang; Yang, Jing; Yang, Lei; Wang, Dayang; Shu, Yuelong; Du, Xiangjun

doi:10.1016/j.scitotenv.2022.158525

Cited by 10 publications

(5 citation statements)

References 39 publications

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“…In contrast to influenza A(H1N1), we find little evidence of an impact of climate on the transmissibility of influenza B. This is surprising: while differences in the impact of climatic conditions may exist between (sub)types, we expect that all influenza (sub)types will be influenced by climate to some extent 42, 43 . However, to our knowledge, the majority of past experimental work on the climate drivers of influenza has been conducted on influenza A; our results suggest that more work is needed to determine whether the same results truly hold for influenza B.…”

Section: Discussioncontrasting

confidence: 68%

Characterizing the interactions between influenza and respiratory syncytial viruses and their implications for epidemic control

Krämer

Casalegno

Cellès

2022

Preprint

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Pathogen-pathogen interactions represent a critical but little-understood feature of infectious disease dynamics. In particular, experimental evidence suggests that influenza viruses and respiratory syncytial viruses (RSV) compete with each other, such that infection with one confers temporary protection against the other. However, such interactions are challenging to study using common epidemiologic methods. Here, we use a mathematical modeling approach, in conjunction with detailed surveillance data from Hong Kong, to infer the strength and duration of the interaction between influenza and RSV. We further utilize our model to evaluate the potential of live attenuated influenza vaccines (LAIV) as a novel strategy to control RSV epidemics. We find evidence of strong, bidirectional interference, such that infection with either virus yields almost complete protection against infection with the other for two to four months. Furthermore, we demonstrate that the likely impact of widespread LAIV use depends on underlying viral circulation patterns. More broadly, we highlight the utility of mathematical models as a tool to characterize interactions and predict the indirect effects of vaccines.

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Section: Discussioncontrasting

confidence: 68%

Characterizing the interactions between influenza and respiratory syncytial viruses and their implications for epidemic control

Krämer

Casalegno

Cellès

2022

Preprint

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“…The national legal holiday date was sourced from The General Office of the State Council ( (accessed on 22 August 2022)). For the school winter and summer vacation, because the vacation times in each province varied, the winter and summer vacation times were unified from January 15 to February 15 and July 15 to August 31 [ 20 ] for the convenience of statistics.…”

Section: Methodsmentioning

confidence: 99%

Association between Temperature and Influenza Activity across Different Regions of China during 2010–2017

Wang

Lei

Wang

et al. 2023

Viruses

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Influenza causes a significant disease burden as an acute respiratory infection. Evidence suggests that meteorological factors can influence the spread of influenza; however, the association between these factors and influenza activity remains controversial. In this study, we investigated the impact of temperature on influenza across different regions of China based on the meteorological data and influenza data from 554 sentinel hospitals in 30 provinces and municipalities in China from 2010 to 2017. A distributed lag nonlinear model (DLNM) was used to analyze the exposure lag response of daily mean temperatures to the risk of influenza-like illness (ILI), influenza A (Flu A), and influenza B (Flu B). We found that in northern China, low temperatures increased the risk of ILI, Flu A, and Flu B, while in central and southern China, both low and high temperatures increased the risk of ILI and Flu A, and only low temperatures increased the risk of Flu B. This study suggests that temperature is closely associated with the influenza activity in China. Temperature should be integrated into the current public health surveillance system for highly accurate influenza warnings and the timely implementation of disease prevention and control measures.

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“…However, some disadvantages existed in our study. This study did not evaluate the effect of influenza subtypes, which have been confirmed associated with meteorological factors ( Zhang, Chen, et al., 2022 ). The quantity and quality of influenza data may vary from city to city; for example, the reported cases in southern cities were more than in northern cities, which may affect the accuracy of the analysis( Zhang, Peng, et al., 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Effects and interaction of temperature and relative humidity on the trend of influenza prevalence: A multi-central study based on 30 provinces in mainland China from 2013 to 2018

Yin

Lai

Zhou

et al. 2023

Infectious Disease Modelling

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Subtypes specified environmental dependence of seasonal influenza virus

Cited by 10 publications

References 39 publications

Characterizing the interactions between influenza and respiratory syncytial viruses and their implications for epidemic control

Characterizing the interactions between influenza and respiratory syncytial viruses and their implications for epidemic control

Association between Temperature and Influenza Activity across Different Regions of China during 2010–2017

Effects and interaction of temperature and relative humidity on the trend of influenza prevalence: A multi-central study based on 30 provinces in mainland China from 2013 to 2018

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