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About:
Association between NO(2)cumulative exposure and influenza prevalence in mountainous regions: A case study from Southwest China
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covidontheweb.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Association between NO(2)cumulative exposure and influenza prevalence in mountainous regions: A case study from Southwest China
Creator
Liu, Rui
Zeng, Wen
Qiu, Yang
Shu, Chang
Yang, Y
Zhao, Han
Liu, R
Yan, W
Zhao, H
Zeng, W
Shu, F
Yan, Wei
Yang, Fumo
Zhan, C
Zhan, Yu
Source
Elsevier; PMC
abstract
While accumulating evidence shows that air pollution exposure is an important risk factor to influenza prevalence, their association has been inadequately investigated in mountainous regions with dense populations and high humidity. We aim to estimate the association and exposure-outcome effects between exposure to nitrogen dioxide (NO(2)) and influenza prevalence in a mountainous region with a dense population and high humidity. We investigated 14,993 patients with confirmed influenza cases from January 2013 to December 2017 in Chongqing, a mountainous city in southwest China. We developed distributed lag non-linear models with quasi-Poisson link to take into account the lag and non-linear effects of NO(2) exposure on influenza prevalence. We estimated that the cumulative effect of a 10 μg/m(3) increase in NO(2) with seven-day lag (i.e., summing all the contributions up to seven days) corresponded to relative risk of 1.24 (95% CI: 1.17-1.31) in daily influenza prevalence. Comparing to annual mean of the World Health Organization air quality guidelines of 40 μg/m(3) for NO(2), we estimated that 14.01% (95% CI: 10.69-17.08%) of the influenza cases were attributable to excessive NO(2) exposure. Our results suggest that NO(2) exposure could worsen the risk of influenza infection in this mountainous city, filling the gap of relevant researches in densely populated and mountainous cities. Our findings provide evidence for developing influenza surveillance and early warning systems.
has issue date
2020-07-12
(
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bibo:doi
10.1016/j.envres.2020.109926
has license
no-cc
sha1sum (hex)
388d3cef1836ec4d251ab3ffbdc4cbcc978991b3
schema:url
https://doi.org/10.1016/j.envres.2020.109926
resource representing a document's title
Association between NO(2)cumulative exposure and influenza prevalence in mountainous regions: A case study from Southwest China
has PubMed Central identifier
PMC7354378
schema:publication
Environ Res
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covid:388d3cef1836ec4d251ab3ffbdc4cbcc978991b3#body_text
is
schema:about
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named entity 'lag'
named entity 'RELATIVE RISK'
named entity 'effects'
named entity 'investigated'
named entity 'non-linear'
named entity 'influenza'
named entity 'link'
named entity 'high'
named entity 'influenza'
named entity 'air pollution'
named entity 'morbidity'
named entity 'January'
named entity 'confirmed'
named entity 'high'
named entity 'daily'
named entity 'influenza'
named entity 'case study'
named entity 'influenza'
named entity 'distributed lag'
named entity '95% CI'
named entity 'southwest China'
named entity 'case study'
named entity 'influenza'
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named entity 'evaporation'
named entity 'RMSE'
named entity 'attributable risk'
named entity 'air pollution'
named entity 'influenza'
named entity 'Lässig'
named entity 'PM 10'
named entity 'P<0.05'
named entity 'atmospheric pressure'
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named entity 'Central Universities'
named entity 'training dataset'
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named entity 'human body'
named entity 'influenza virus'
named entity 'influenza outbreaks'
named entity 'RMSE'
named entity 'WHO'
named entity 'China Meteorological Administration'
named entity '95% CI'
named entity 'mountain city'
named entity 'air pollution'
named entity 'WHO'
named entity 'precipitation'
named entity 'generalized cross validation'
named entity 'PM 2.5'
named entity 'environmental factors'
named entity 'China'
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named entity 'influenza outbreak'
named entity 'correlation'
named entity 'epithelial cells'
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named entity 'pediatric'
named entity 'air quality'
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named entity 'influenza'
named entity 'air pollution'
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