Literature DB >> 31580867

Association between meteorological variations and activities of influenza A and B across different climate zones: a multi-region modelling analysis across the globe.

Ka Chun Chong1, Tsz Cheung Lee2, Seweryn Bialasiewicz3, Jian Chen4, David W Smith5, Wisely S C Choy2, Mel Krajden6, Hamid Jalal7, Lance Jennings8, Burmaa Alexander9, Hong Kai Lee10, Pieter Fraaij11, Avram Levy5, Apple C M Yeung12, Sarah Tozer3, Steven Y F Lau1, Katherine M Jia1, Julian W T Tang13, David S C Hui14, Paul K S Chan15.   

Abstract

OBJECTIVE: To elucidate the effects of meteorological variations on the activity of influenza A and B in 11 sites across different climate regions.
METHODS: Daily numbers of laboratory-confirmed influenza A and B cases from 2011-2015 were collected from study sites where the corresponding daily mean temperature, relative humidity, wind speed and daily precipitation amount were used for boosted regression trees analysis on the marginal associations and the interaction effects.
RESULTS: Cold temperature was a major determinant that favored both influenza A and B in temperate and subtropical sites. Temperature-to-influenza A, but not influenza B, exhibited a U-shape association in subtropical and tropical sites. High relative humidity was also associated with influenza activities but was less consistent with influenza B activity. Compared with relative humidity, absolute humidity had a stronger association - it was negatively associated with influenza B activity in temperate zones, but was positively associated with both influenza A and B in subtropical and tropical zones.
CONCLUSION: The association between meteorological factors and with influenza activity is virus type specific and climate dependent. The heavy influence of temperature on influenza activity across climate zones implies that global warming is likely to have an impact on the influenza burden.
Copyright © 2019 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

Keywords:  Humidity; Influenza; Seasonality; Subtropic; Temperate; Temperature; Tropic

Mesh:

Year:  2019        PMID: 31580867     DOI: 10.1016/j.jinf.2019.09.013

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


  14 in total

1.  Independent association between meteorological factors, PM2.5, and seasonal influenza activity in Hangzhou, Zhejiang province, China.

Authors:  Steven Yuk-Fai Lau; Wei Cheng; Zhao Yu; Kirran N Mohammad; Maggie Haitian Wang; Benny Chung-Ying Zee; Xi Li; Ka Chun Chong; Enfu Chen
Journal:  Influenza Other Respir Viruses       Date:  2020-12-20       Impact factor: 4.380

2.  Association Between Seasonal Influenza and Absolute Humidity: Time-Series Analysis with Daily Surveillance Data in Japan.

Authors:  Keita Shimmei; Takahiro Nakamura; Chris Fook Sheng Ng; Masahiro Hashizume; Yoshitaka Murakami; Aya Maruyama; Takako Misaki; Nobuhiko Okabe; Yuji Nishiwaki
Journal:  Sci Rep       Date:  2020-05-08       Impact factor: 4.379

3.  Impact of weather on COVID-19 transmission in south Asian countries: An application of the ARIMAX model.

Authors:  Md Sabbir Hossain; Sulaiman Ahmed; Md Jamal Uddin
Journal:  Sci Total Environ       Date:  2020-11-02       Impact factor: 7.963

4.  Effect of meteorological factors on the activity of influenza in Chongqing, China, 2012-2019.

Authors:  Li Qi; Tian Liu; Yuan Gao; Dechao Tian; Wenge Tang; Qin Li; Luzhao Feng; Qiyong Liu
Journal:  PLoS One       Date:  2021-02-03       Impact factor: 3.240

5.  Influence of air pollution and meteorological factors on the spread of COVID-19 in the Bangkok Metropolitan Region and air quality during the outbreak.

Authors:  Sarawut Sangkham; Sakesun Thongtip; Patipat Vongruang
Journal:  Environ Res       Date:  2021-03-30       Impact factor: 8.431

6.  Coronavirus seasonality, respiratory infections and weather.

Authors:  G L Nichols; E L Gillingham; H L Macintyre; S Vardoulakis; S Hajat; C E Sarran; D Amankwaah; R Phalkey
Journal:  BMC Infect Dis       Date:  2021-10-26       Impact factor: 3.090

7.  Association of COVID-19 pandemic with meteorological parameters over Singapore.

Authors:  Shantanu Kumar Pani; Neng-Huei Lin; Saginela RavindraBabu
Journal:  Sci Total Environ       Date:  2020-06-12       Impact factor: 7.963

8.  Seasonal pattern of influenza and the association with meteorological factors based on wavelet analysis in Jinan City, Eastern China, 2013-2016.

Authors:  Wei Su; Ti Liu; Xingyi Geng; Guoliang Yang
Journal:  PeerJ       Date:  2020-03-09       Impact factor: 2.984

9.  Risk-adjusted zero-inflated Poisson CUSUM charts for monitoring influenza surveillance data.

Authors:  Xin Lai; Jing Tang; Yueying Tan; Jiayin Wang; Xuanping Zhang; Xiaoyan Zhu; Ka-Chun Chong; Paul K S Chan
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-30       Impact factor: 2.796

10.  Influenza A and B outbreaks differed in their associations with climate conditions in Shenzhen, China.

Authors:  Pan Ma; Xiaoxin Tang; Li Zhang; Xinzi Wang; Weimin Wang; Xiaoling Zhang; Shigong Wang; Ning Zhou
Journal:  Int J Biometeorol       Date:  2021-10-25       Impact factor: 3.738

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