Abstract
Abstract
Background and objectives
The number of pediatric patients diagnosed with influenza types A and B is increasing annually, especially in temperate regions such as Shanghai (China). The onset of pandemic influenza viruses might be attributed to various ambient meteorological factors including temperature, relative humidity (Rh), and PM1 concentrations, etc. The study aims to explore the correlation between the seasonality of pandemic influenza and these factors.
Methods
We recruited pediatric patients aged from 0 to 18 years who were diagnosed with influenza A or B from July 1st, 2017 to June 30th, 2019 in Shanghai Children’s Medical Centre (SCMC). Ambient meteorological data were collected from the Shanghai Meteorological Service (SMS) over the same period. The correlation of influenza outbreak and meteorological factors were analyzed through preliminary Pearson’s r correlation test and subsequent time-series Poisson regression analysis using the distributed lag non-linear model (DLNM).
Results
Pearson’s r test showed a statistically significant correlation between the weekly number of influenza A outpatients and ambient meteorological factors including weekly mean, maximum, minimum temperature and barometric pressure (P < 0.001), and PM1 (P < 0.01). While the weekly number of influenza B outpatients was statistically significantly correlated with weekly mean, maximum and minimum temperature (P < 0.001), barometric pressure and PM1 (P < 0.01), and minimum Rh (P < 0.05). Mean temperature and PM1 were demonstrated to be the statistically significant variables in the DLNM with influenza A and B outpatients through time-series Poisson regression analysis. A U-shaped curve relationship was noted between the mean temperature and influenza A cases (below 15 °C and above 20 °C), and the risks increased for influenza B with mean temperature below 10 °C. PM1 posed a risk after a concentration of 23 ppm for both influenza A and B. High PM1, low and the high temperature had significant effects upon the number of influenza A cases, whereas low temperature and high PM1 had significant effects upon the number of influenza B cases.
Conclusion
This study indicated that mean temperature and PM1 were the primary factors that were continually associated with the seasonality of pediatric pandemic influenza A and B and the recurrence in the transmission and spread of influenza viruses.
Funder
Science and Technology Commission of Shanghai Municipality
School of Medicine, Shanghai Jiao Tong University
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health
Reference37 articles.
1. Bouvier NM, Palese P. The biology of influenza viruses. Vaccine. 2008;26:D49–53. https://doi.org/10.1016/j.vaccine.2008.07.039.
2. Brenner F, Marwan N. Change of influenza pandemics because of climate change: complex network simulations. Rev Epidemiol Sante Publique. 2018;66:S424. https://doi.org/10.1016/j.respe.2018.05.513.
3. Cao Z, Zeng D, Wang F, Wang Q, Wang X, Wang J, Zheng X. Weather conditions and spatio-temporal spreading risk of the Beijing 2009 influenza a (H1N1) epidemic. Sci Technol Rev. 2010;28(08):26–32.
4. Choi KM, Christakos G, Wilson ML. El Niño effects on influenza mortality risks in the state of California. Public Health. 2006;120(6):505–16. https://doi.org/10.1016/j.puhe.2006.01.011.
5. Dai Q, Ma W, Huang H, Xu K, Qi X, Yu H, et al. The effect of ambient temperature on the activity of influenza and influenza like illness in Jiangsu Province, China. Sci Total Environ. 2018;645:684–91. https://doi.org/10.1016/j.scitotenv.2018.07.065.
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献