ArticleThe Science of the total environment2020
The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China.
Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.
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Who cites it
27 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Spatial distribution and driving factors of the associations between temperature and influenza-like illness in the United States: a time-stratified case-crossover study.BMC public health · 2023Pooled it
- A meta-analysis result: Uneven influences of season, geo-spatial scale and latitude on relationship between meteorological factors and the COVID-19 transmission.Environmental research · 2022Pooled it
- Effects of ambient temperature on influenza-like illness: A multicity analysis in Shandong Province, China, 2014-2017.Frontiers in public health · 2022Pooled it
- Multi-source machine learning for short-term influenza forecasting in Hunan Province, China: a spatiotemporal analysis using surveillance, search, meteorological and air-quality data.BMC infectious diseases · 2026Article
- Nonlinear and potential driving impacts of meteorological and air pollution factors on influenza-like illness in Jinan, China.BMC public health · 2025Article
- Estimation of under-reporting influenza cases in Hong Kong based on bayesian hierarchical framework.Infectious Disease Modelling · 2025Article
- Retrospective Single-Center Study on the Epidemiological Characteristics of Influenza B Infections in Korea (2007-2024): Analysis of Sex, Age, and Seasonal Patterns.Microorganisms · 2025Article
- Effect of short-term ambient temperature exposure on influenza A and B incidence: a time-series analysis of daily surveillance data in Kawasaki City, Japan.IJID regions · 2024Article
- Increased Risk of Influenza Infection During Cold Spells in China: National Time Series Study.JMIR public health and surveillance · 2024Article
- Epidemiological features of seasonal influenza transmission among 11 climate zones in Chinese Mainland.Infectious diseases of poverty · 2024Article
- Lagging effects and prediction of pollutants and their interaction modifiers on influenza in northeastern China.BMC public health · 2023Article
- Repeatability and timing of tropical influenza epidemics.PLoS computational biology · 2023Article
- Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China.BMC infectious diseases · 2023Article
- Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau.Heliyon · 2022Article
- Short-term impact of ambient temperature on the incidence of influenza in Wuhan, China.Environmental science and pollution research international · 2022Article
- Influenza A and B outbreaks differed in their associations with climate conditions in Shenzhen, China.International journal of biometeorology · 2022Article
- Severe community-acquired pneumonia in Reunion Island: Epidemiological, clinical, and microbiological characteristics, 2016-2018.PloS one · 2022Article
- Associations between Temperature and Influenza Activity: A National Time Series Study in China.International journal of environmental research and public health · 2021Article
- Effect of daily temperature fluctuations on virus lifetime.The Science of the total environment · 2021Article
- Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India.Environmental science and pollution research international · 2021Article
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11 authors.
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Abstract
Most 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, 95%CI: 11.52-51.86). 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 Flu-B (7.87, 95%CI: 5.53-11.91). DTR ≥ 12 °C and MeanT <22 °C were the key drivers for Flu-A and Flu-B, separately. The study found 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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