Carbon monoxide poisoning: a prediction model using meteorological factors and air pollutant.

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 < 0.01). Based on the above factors, a predictive model was established: "logitPj = aj - 0.193 * temperature - 0.228 * wi

SUBMITTER: Ruan HL 

PROVIDER: S-EPMC7923450 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature