Relationship between temporal anomalies in PM2.5 concentrations and reported influenza/influenza-like illness activity

被引:6
|
作者
DeFelice, T. P. [1 ]
机构
[1] Univ Colorado Boulder, Boulder, CO 80309 USA
关键词
Atmospheric science; Climatology; Environmental analysis; Environmental health; Public health; Aerosol; PM2.5; concentrations; PM2.5 concentration anomalies; Influenza virus; Influenza and influenza-like illness (ILI); Aerosol-health interactions; Particulate matter(PM); CLOUD CONDENSATION NUCLEI; INFLUENZA-LIKE ILLNESS; AEROSOL RADIATIVE PROPERTIES; ISCHEMIC-HEART-DISEASE; SHORT-TERM EXPOSURE; PARTICULATE MATTER; AIR-POLLUTION; UNITED-STATES; WATER-VAPOR; ATMOSPHERIC AEROSOL;
D O I
10.1016/j.heliyon.2020.e04726
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A small number of studies suggest atmospheric particulate matter with diameters 2.5 micron and smaller (PM2.5) may possibly play a role in the transmission of influenza and influenza-like illness (ILI) symptoms. Those studies were predominantly conducted under moderately to highly polluted outdoor atmospheres. The purpose of this study was to extend the data set to include a less polluted atmospheric environment. A relationship between PM2.5 and ILI activity extended to include lightly to moderately polluted atmospheres could imply a more complicated mechanism than that suggested by existing studies. We obtained concurrent PM2.5 mass concentration data, meteorological data and reported Influenza and influenza-like illness (ILI) activity for the light to moderately polluted atmospheres over the Tucson, AZ region. We found no relation between PM2.5 mass concentration and ILI activity. There was an expected relation between ILI, activity, temperature, and relative humidity. There was a possible relation between PM2.5 mass concentration anomalies and ILI activity. These results might be due to the small dataset size and to the technological limitations of the PM measurements. Further study is recommended since it would improve the understanding of ILI transmission and thereby improve ILI activity/outbreak forecasts and transmission model accuracies.
引用
收藏
页数:13
相关论文
共 42 条
  • [31] Epidemiology of Influenza-like Illness and Respiratory Viral Etiology in Adult Patients in Taiyuan City, Shanxi Province, China between 2018 and 2019
    Jia, Zhao
    Xue, Puna
    Gao, Ruihong
    Wang, Rui
    Zhao, Lifeng
    Zuo, Zhihong
    Gao, Li
    Han, Rui
    Yao, Hong
    Guo, Jiane
    Xu, Jihong
    Zhu, Zhen
    Wang, Jitao
    VIRUSES-BASEL, 2023, 15 (11):
  • [32] The association between benzodiazepines and influenza-like illness-related pneumonia and mortality: a survival analysis using UK Primary Care data
    Nakafero, Georgina
    Sanders, Robert D.
    Nguyen-Van-Tam, Jonathan S.
    Myles, Puja R.
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2016, 25 (11) : 1263 - 1273
  • [33] Nonlinear Enhanced Prediction of Influenza-Like Illness Using Seasonal-Trend Decomposition and Temporal DependencyNonlinear Enhanced Prediction of Influenza-Like...X. Lu, S. Zhao, A. Liu et al.
    Xingsheng Lu
    Shu Zhao
    Ao Liu
    Shenghui Zhao
    Signal, Image and Video Processing, 2025, 19 (8)
  • [34] Property-activity relationship between physicochemical properties of PM2.5 and their activation of NLRP3 inflammasome
    Zheng, Runxiao
    Song, Panpan
    Wu, Yunyun
    Wang, Yanjing
    Han, Xiaoqing
    Yan, Jiao
    Wu, Xiaqing
    Zhang, Haiyuan
    NANOIMPACT, 2022, 25
  • [35] SARS-CoV-2, influenza A/B and respiratory syncytial virus positivity and association with influenza-like illness and self-reported symptoms, over the 2022/23 winter season in the UK: a longitudinal surveillance cohort
    Dietz, Elisabeth
    Pritchard, Emma
    Pouwels, Koen
    Ehsaan, Muhammad
    Blake, Joshua
    Gaughan, Charlotte
    Haduli, Eric
    Boothe, Hugh
    Vihta, Karina-Doris
    Peto, Tim
    Stoesser, Nicole
    Matthews, Philippa
    Taylor, Nick
    Diamond, Ian
    Studley, Ruth
    Rourke, Emma
    Birrell, Paul
    De Angelis, Daniela
    Fowler, Tom
    Watson, Conall
    Eyre, David
    House, Thomas
    Walker, Ann Sarah
    BMC MEDICINE, 2024, 22 (01)
  • [36] SARS-CoV-2, influenza A/B and respiratory syncytial virus positivity and association with influenza-like illness and self-reported symptoms, over the 2022/23 winter season in the UK: a longitudinal surveillance cohort
    Elisabeth Dietz
    Emma Pritchard
    Koen Pouwels
    Muhammad Ehsaan
    Joshua Blake
    Charlotte Gaughan
    Eric Haduli
    Hugh Boothe
    Karina-Doris Vihta
    Tim Peto
    Nicole Stoesser
    Philippa Matthews
    Nick Taylor
    Ian Diamond
    Ruth Studley
    Emma Rourke
    Paul Birrell
    Daniela De Angelis
    Tom Fowler
    Conall Watson
    David Eyre
    Thomas House
    Ann Sarah Walker
    BMC Medicine, 22
  • [37] Spatial distribution and driving factors of the associations between temperature and influenza-like illness in the United States: a time-stratified case-crossover study
    Yongli Yang
    Jiao Lian
    Xiaocan Jia
    Tianrun Wang
    Jingwen Fan
    Chaojun Yang
    Yuping Wang
    Junzhe Bao
    BMC Public Health, 23
  • [38] A comparative study between the incidence and epidemiological features of Influenza-Like Illness and laboratory-confirmed COVID-19 cases in the Italian epicenter (Lombardy)
    Grosso, Francesca
    Castrofino, Ambra
    Del Castillo, Gabriele
    Galli, Cristina
    Binda, Sandro
    Pellegrinelli, Laura
    Bubba, Laura
    Cereda, Danilo
    Tirani, Marcello
    Gramegna, Maria
    Bella, Antonino
    Castaldi, Silvana
    Pariani, Elena
    JOURNAL OF INFECTION AND PUBLIC HEALTH, 2021, 14 (05) : 674 - 680
  • [39] Quantitative Characterization of Uncertainty in the Concentration-Response Relationship between Long-Term PM2.5 Exposure and Mortality at Low Concentrations
    Coffman, Evan
    Burnett, Richard T.
    Sacks, Jason D.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2020, 54 (16) : 10191 - 10200
  • [40] Evaluation and Comparison of Spatio-Temporal Relationship between Multiple Satellite Aerosol Optical Depth (AOD) and Near-Surface PM2.5 Concentration over China
    Xu, Qiangqiang
    Chen, Xiaoling
    Rupakheti, Dipesh
    Dong, Jiadan
    Tang, Linling
    Kang, Shichang
    REMOTE SENSING, 2022, 14 (22)