Ontology highlight
ABSTRACT: Background
While the influence of meteorology on carbon monoxide (CO) poisoning has been reported, few data are available on the association between air pollutants and the prediction of CO poisoning. Our objective is to explore meteorological and pollutant patterns associated with CO poisoning and to establish a predictive model.Results
CO poisoning was found to be significantly associated with meteorological and pollutant patterns: low temperatures, low wind speeds, low air concentrations of sulfur dioxide (SO2) and ozone (O38h), and high daily temperature changes and ambient CO (r absolute value range: 0.079 to 0.232, all P values 2 + 0.0008 *O38h; j = 1, 2, 3, 4; a1 = -4.12, a2 = -2.93, a3 = -1.98, a4 = -0.92." The proposed prediction model based on combined factors showed better predictive capacity than a model using only meteorological factors as a predictor.Conclusion
Low temperatures, wind speed, and SO2 and high daily temperature changes, O38h, and CO are related to CO poisoning. Using both meteorological and pollutant factors as predictors could help facilitate the prevention of CO poisoning.
SUBMITTER: Ruan HL
PROVIDER: S-EPMC7923450 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature
Ruan Hai-Lin HL Deng Wang-Shen WS Wang Yao Y Chen Jian-Bing JB Hong Wei-Liang WL Ye Shan-Shan SS Hu Zhuo-Jun ZJ
BMC proceedings 20210302 Suppl 1
<h4>Background</h4>While the influence of meteorology on carbon monoxide (CO) poisoning has been reported, few data are available on the association between air pollutants and the prediction of CO poisoning. Our objective is to explore meteorological and pollutant patterns associated with CO poisoning and to establish a predictive model.<h4>Results</h4>CO poisoning was found to be significantly associated with meteorological and pollutant patterns: low temperatures, low wind speeds, low air conc ...[more]