The Impact of Weather and Air Pollution on Viral Infection and Disease Outcome Among Pediatric Pneumonia Patients in Chongqing, China, from 2009 to 2018: A Prospective Observational Study. (15th July 2020)

• Record Type: Journal Article
• Authors: Wang, Zhi-Bo; Ren, Luo; Lu, Qing-Bin; Zhang, Xiao-Ai; Miao, Dong; Hu, Yuan-Yuan; Dai, Ke; Li, Hao; Luo, Zheng-Xiu; Fang, Li-Qun; Liu, En-Mei; Liu, Wei
• Is Part Of: Clinical infectious diseases. Volume 73:Number 2(2021)
• Page Start: e513
• Page End: e522
• Publication Date: 2020-07-15
• Subjects: acute respiratory tract infections -- pediatric pneumonia -- meteorology -- air pollution -- machine learning; Communicable diseases -- Periodicals; 616.905
• DOI: 10.1093/cid/ciaa997
• Languages: English
• ISSNs: 1058-4838

Abstract

Abstract: Background: For pediatric pneumonia, the meteorological and air pollution indicators have been frequently investigated for their association with viral circulation but not for their impact on disease severity. Methods: We performed a 10-year prospective, observational study in 1 hospital in Chongqing, China, to recruit children with pneumonia. Eight commonly seen respiratory viruses were tested. Autoregressive distributed lag (ADL) and random forest (RF) models were used to fit monthly detection rates of each virus at the population level and to predict the possibility of severe pneumonia at the individual level, respectively. Results: Between 2009 and 2018, 6611 pediatric pneumonia patients were included, and 4846 (73.3%) tested positive for at least 1 respiratory virus. The patient median age was 9 months (interquartile range, 4‒20). ADL models demonstrated a decent fitting of detection rates of R 2 > 0.7 for respiratory syncytial virus, human rhinovirus, parainfluenza virus, and human metapneumovirus. Based on the RF models, the area under the curve for host-related factors alone was 0.88 (95% confidence interval [CI], .87‒.89) and 0.86 (95% CI, .85‒.88) for meteorological and air pollution indicators alone and 0.62 (95% CI, .60‒.63) for viral infections alone. The final model indicated that 9 weather and air pollution indicators were important determinants of severe pneumonia, with a relative contribution of 62.53%, which is significantly higher than respiratory viral infections (7.36%). Conclusions: Meteorological and air pollution predictors contributed more to severe pneumonia in children than did respiratory viruses. These meteorological data could help predict times when children would be at increased risk for severe pneumonia and when interventions, such as reducing outdoor activities, may be warranted. Abstract : Weather and air pollution indicators were found to be important determinants of severe pneumonia in children and could help predict times when children would be at increased risk for sever pneumonia and enhanced intervention measures would be warranted.