Epidemiologic studies in worldwide have measured increases in mortality and morbidity associated with air pollution (1-3). Quantifying the effects of air pollution on the human health in urban area causes an increasingly critical component in policy discussion (4-6). Air Q model was proved to be a valid and reliable tool to predicts health effects related to criteria pollutants (particulate matter (PM), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO)), determinate the potential short term effects of air pollution and allows the examination of various scenarios in which emission rates of pollutants are varied (7,8). Air Q software provided by the WHO European Centre for Environment and Health (ECEH) (9). Air Q model is based on cohort studies and used to estimates of both attributable average reductions in life-span and numbers of mortality and morbidity associated with exposure to air pollution (10,11).
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