title: A review of AirQ Models and their applications for forecasting the air pollution health outcomes.
abstract: Even though clean air is considered as a basic requirement for the maintenance of human health, air pollution continues to pose a significant health threat in developed and developing countries alike. Monitoring and modeling of classic and emerging pollutants is vital to our knowledge of health outcomes in exposed subjects and to our ability to predict them. The ability to anticipate and manage changes in atmospheric pollutant concentrations relies on an accurate representation of the chemical state of the atmosphere. The task of providing the best possible analysis of air pollution thus requires efficient computational tools enabling efficient integration of observational data into models. A number of air quality models have been developed and play an important role in air quality management. Even though a large number of air quality models have been discussed or applied, their heterogeneity makes it difficult to select one approach above the others. This paper provides a brief review on air quality models with respect to several aspects such as prediction of health effects.
authors.affiliation: Environmental and Food Hygiene Laboratories (LIAA), Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, via Santa Sofia 87, 95123, Catania, Italy. olivericonti@unict.it.
authors.forename: Gea
authors.initials: G
authors.lastname: Oliveri Conti
authors.affiliation: Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
authors.forename: Behzad
authors.initials: B
authors.lastname: Heibati
authors.affiliation: Department of Environmental Health, Harvard University, Landmark Center, 401 Park Drive, Boston, 02215, Massachusetts, USA.
authors.forename: Itai
authors.initials: I
authors.lastname: Kloog
authors.affiliation: Environmental and Food Hygiene Laboratories (LIAA), Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, via Santa Sofia 87, 95123, Catania, Italy.
authors.forename: Maria
authors.initials: M
authors.lastname: Fiore
authors.affiliation: Environmental and Food Hygiene Laboratories (LIAA), Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, via Santa Sofia 87, 95123, Catania, Italy.
authors.forename: Margherita
authors.initials: M
authors.lastname: Ferrante
mesh_terms: D000393:Air Pollutants / Q000633:toxicity*; D000397:Air Pollution / Q000706:statistics & numerical data*; D003198:Computer Simulation; D004784:Environmental Monitoring; D006801:Humans; D057446:Hydrodynamics; D015233:Models, Statistical; D016011:Normal Distribution; D052638:Particulate Matter / Q000633:toxicity*; D011634:Public Health; D018570:Risk Assessment
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter
keywords: Air pollution; AirQ models; AirQ software2.2; Epidemiology; Health effects; Public health