Analysis of the Role of Airborne Pollen in Seasonal Variation of Allergy Medicine Sales in Serbia

Seasonal allergies can be a recurring nightmare, with airborne pollen being one of the root causes. In this study, our data scientists unveil a significant correlation between airborne pollen levels and the demand for antihistamines in Serbia. Using a range of General Linear Models (GLMs), the research constructs models to predict current and future sales across daily, weekly, and monthly intervals. 

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This research highlights the undeniable influence of pollen on allergic reactions and provides a proactive approach to managing symptoms. The optimal model was attained by projecting the forthcoming month's aggregate sales based on the current month's total pollen count, yielding a commendable R2 score of 0.71. 

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This study's outcome can empower the healthcare sector to make well-informed choices, enabling the assessment of antihistamine demand by utilizing airborne pollen concentration data.

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Download the research paper to learn in detail how extensive data sets and employing advanced statistical techniques helped our data scientists establish a clear connection between pollen count surge and the sales of antihistamine medications.

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