METHODS: Spore counts were obtained from 2009 to 2016 using volumetric methods employing a Burkard trap placed at a height of 25 meters above the ground at Pirogov National Medical University in Vinnytsya, Ukraine from March 1 until October 31. Statistical analysis of Alternaria spore concentrations exceeding 100 spores m-1 and corresponding meteorological parameters were performed by means of multiple regression in order to establish the combination of parameters which may impact changes in spore concentration. Analysis of annual mean Alternaria counts exceeding 100 spores m-1 (ALT-avg) were performed presuming: 1) Normal distribution, allowing use of classical correlation analyses followed by multiple regression analysis with identification of linear regression ; and 2) According to the Poisson law, using the Spearman rank correlation coefficient for analysis with nonlinear regression.
RESULTS: Both analysis demonstrated that ALT-avg increases with increase of minimum and average daily temperatures and increase of average daily humidity and precipitation but does not depend on wind speed. Nonlinear regression performed better. Alternaria spore concentrations greater than 100 spores m-1 were seen in Vinnitsya from the beginning of July through September until the end of October. This period may provide higher risk of sensitization to Alternaria in Central Ukraine.
CONCLUSIONS: Alternaria spores which appear in greatest concentration dependant on heat, humidity and daily precipitation from July through October.