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- Analysis of temporal lag in the impact of air quality on the health of children, in BarreiroPublication . Garcia, João; Cerdeira, Rita; Coelho, Luis Manuel RodriguesThe aim of this work was to study the impact of temporal lag between the exposition to air pollutants and the children admitted to the emergency room of Hospital Na Sra Rosário pediatric service, in Barreiro, Portugal, with symptoms of respiratory problems. The two variables were recorded by the medical staff and by an air quality monitoring station, in the same periods. From the results, a moderate correlation between different symptoms of respiratory diseases (sdr, cough, and asthma) and pollutants was found, reaching maximum values after temporal lags of 2 to 6 days. The strongest correlation for lag 0 (consequences on the same day) rises for the symptomatology of asthma, reaching the highest values for COmax (ρ = 0.26) and COpeak (ρ = 0.25). Also, an important correlation was found for NOx, NOx med and peak NOx (ρ = 0, 21). The correlation with PM10 shows an unrepresentative value (ρ = 0.09), being negative for O3max (ρ = 0.23) and O3peak (ρ = 0.22), as well as for SO2med (ρ = 0.12). Considering temporal lags of 1 to 8 and 15 days, overall, the maximum correlations between symptoms and NO, NO2, NOx, CO, and PM10 occur after temporal lags of 2 to 6 days, being constant or negative to SO2 and O3.
- Relating air Pollution and Respiratory Diseases OccurrencesPublication . Teodoro, M. F.; Garcia, J. N.; Coelho, Luis Manuel Rodrigues; Carvalho, M. G.In this article we study the impact of air pollution on children's health in Portugal. In particular, we focus our attention on the city of Barreiro. We use the general linear methods (GLM), taking advantage of all the ease of handling and analyzing data in order to relate air quality and health. We relate levels of air pollution and incidence of entries from children with symptoms of respiratory problems in the pediatric urgency service at the hospital of Barreiro. It was not easy to obtain clear and unambiguous relations in particle dispersion, air quality and health. A set of models are estimated by GLM and validated using adequate tests and residual analysis. At the end of this process, we combine the best models. The work is still going on.