title: Forecasting the onset of an allergic risk to poaceae in Nancy and Strasbourg (France) with different methods.
abstract: Pollen of Poaceae is among the most allergenic pollen in Europe with pollen of birch. It is therefore useful to elaborate models to help pollen allergy sufferers. The objective of this study was to construct forecast models that could predict the first day characterized by a certain level of allergic risk called here the Starting Date of the Allergic Risk (SDAR). Models result from four forecast methods (three summing and one multiple regression analysis) used in the literature. They were applied on Nancy and Strasbourg from 1988 to 2005 and were tested on 2006. Mean Absolute Error and Actual forecast ability test are the parameters used to choose best models, assess and compare their accuracy. It was found, on the whole, that all the models presented a good forecast accuracy which was equivalent. They were all reliable and were used in order to forecast the SDAR in 2006 with contrasting results in forecasting precision.
authors.affiliation: Climat et Santé, Centre d'Epidémiologie de Population, Faculté de Médecine, BP 87900, 21079 Dijon, France.
authors.forename: E
authors.initials: E
authors.lastname: Cassagne
authors.forename: P D
authors.initials: PD
authors.lastname: Caillaud
authors.forename: J P
authors.initials: JP
authors.lastname: Besancenot
authors.forename: M
authors.initials: M
authors.lastname: Thibaudon
mesh_terms: D000485:Allergens / Q000276:immunology*; D004784:Environmental Monitoring / Q000379:methods; D062665:Epidemiological Monitoring; D005544:Forecasting; D005602:France / Q000453:epidemiology; D006801:Humans; D008685:Meteorological Concepts; D008962:Models, Theoretical; D006109:Poaceae / Q000276:immunology*; D011058:Pollen / Q000276:immunology*; D015985:Precipitating Factors; D011237:Predictive Value of Tests; D012044:Regression Analysis; D006255:Rhinitis, Allergic, Seasonal / Q000453:epidemiology
chemical_list: D000485:Allergens