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About:
The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China
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schema:ScholarlyArticle
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covidontheweb.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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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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