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

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About: The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China
Creator	Wang, Ning Hu, Wenbiao Yu, Jianxing Xu, Zhiwei Li, Zhongjie Wang, Yuanping Ye, Chuchu Zhu, Weiping Zhang, Yuzhou Cheng, Jian Hao, Lipeng Hu, W
Source	Elsevier; Medline; PMC
abstract	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.
has issue date	2020-01-20(xsd:dateTime)
bibo:doi	10.1016/j.scitotenv.2019.134607
bibo:pmid	31710904
has license	els-covid
sha1sum (hex)	01ed70eb48931f96767db9b2c12f655d8343fe85
schema:url	https://doi.org/10.1016/j.scitotenv.2019.134607
resource representing a document's title	The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China
has PubMed Central identifier	PMC7112088
has PubMed identifier	31710904
schema:publication	Science of The Total Environment
resource representing a document's body	covid:01ed70eb48931f96767db9b2c12f655d8343fe85#body_text
is schema:about of	named entity 'SEASONAL INFLUENZA' named entity 'temperature' named entity 'High' named entity 'relative risk' named entity 'TEMPERATURE RANGE' named entity 'WEEKS' named entity 'DRIVERS' named entity 'LOW TEMPERATURE' named entity 'CAUSES' named entity 'COMPARED' named entity 'VALUE' named entity 'Y-AXIS' covid:arg/01ed70eb48931f96767db9b2c12f655d8343fe85 named entity 'VARIABILITY' named entity 'INFLUENZA B' named entity 'HAVE' named entity 'LIKELY' named entity 'INDICATING' named entity 'X-AXIS' named entity 'CHINA' named entity 'INFLUENZA A AND B VIRUS' named entity 'TRANSMISSION' named entity 'CUMULATIVE' named entity 'INFLUENZA A' named entity 'HIGH' named entity 'CLIMATE' named entity 'LOW' named entity 'CONFIDENCE INTERVAL' named entity 'VARIABLE' named entity 'S T' named entity 'SOLID' named entity 'COMPLEX' named entity 'RELATIVE RISK' named entity 'NUMBER OF TIMES' named entity 'HIGH TEMPERATURE' named entity 'INFLUENZA' named entity 'GREY' named entity 'REFERENCE VALUE' named entity 'ASSOCIATED WITH' named entity 'KEY' named entity 'SUBTROPICAL' named entity 'OCCURRENCE' named entity 'DIURNAL ' named entity 'SHADOW' named entity 'LINE' named entity 'DTR' named entity 'CASES' named entity 'ASSOCIATIONS' named entity 'CLIMATE' named entity 'separately' named entity 'reference' named entity 'High' named entity 'High temperature' named entity 'X-axis' named entity 'relative risk' named entity 'influenza' named entity 'influenza' named entity 'DTR' named entity '95% confidence interval' named entity 'influenza' named entity 'Y-axis' named entity 'low temperature' named entity 'influenza' named entity 'Boston' named entity 'diurnal temperature range' named entity 'influenza' named entity 'influenza virus' named entity 'absolute humidity' named entity 'standard error' named entity 'China'

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