Abstract
BackgroundWhile 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.ResultsCO 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 * wind speed + 0.221 * 24 h temperature change + 1.25 * CO - 0.0176 * SO2 + 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.ConclusionLow 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.
Highlights
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
The aim of the present study was to characterize meteorological and pollutant patterns associated with CO poisoning in Liuzhou and to explore a prediction model for this issue
We found that CO poisoning was significantly and inversely associated with temperatures, 24-h atmospheric pressure changes, wind speeds and ozone (O38h) (r ranges: − 0.162 to − 0.409, all Ps < 0.001) and positively associated with 24-h temperature changes, atmospheric pressure, humidity, and pollutants (SO2, Nitrogen dioxide (NO2), PM2.5, Particle matter 10 (PM10), and CO) (r ranges: 0.085 to 0.371, all Ps < 0.01) (Table 1 and Additional file 1: Table S2)
Summary
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. Domicile-related CO poisoning mostly occurs in night and is difficult to detect [4]. Many studies have explored how meteorological patterns influence the prevalence of CO poisoning, which largely occurs in winter and is associated with low meteorological temperatures, low barometric pressure and low wind speeds [6]. Weather patterns influence pollutant distributions, and their combination might play important roles in the initiation of domicile-related CO poisoning [7].
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