See also: GDV and HRV
PATTERNS IN GOOGLE TRENDS TERMS REPORTING RHINITIS AND ALTERNARIA SEASON IN UKRAINE
Kaidashev I. 1, Morokhovets H. 1, Rodinkova V. 2, Bilous O. 2, DuBuske L. M. 3, Bousquet J. 4,5,6
1 Ukrainian Medical Stomatological Academy, Department of Internal Medicine No.3 with Phthisiology, Research Department, Poltava, Ukraine
2 National Pirogov Memorial Medical University, Pharmacy Department, Vinnytsya, Ukraine
3 Immunology Research Institute of New England, USA
4 University Hospital, Montpellier, France
5 MACVIA-France, Fondation partenariale FMC VIA-LR, Montpellier, France
6 VIMA. INSERM U 1168, VIMA : Ageing and chronic diseases, Epidemiological and public health approaches, Villejuif, Université Versailles St-Quentin-en-Yvelines, UMR-S 1168, Montigny le Bretonneux, France and Euforea, Brussels, Belgium
This article presents a literary review on the issue of using the innovative Web-based surveillance tools provided by Google Trends (GT) in order to determine the precise onset of the mold spore season.
Mold allergy is a considerable trigger for the development of widespread respiratory disorders – allergic rhinitis and asthma, chronic obstructive pulmonary diseases, etc. The study aimed to examine the seasonality of GT queries in Ukraine with Alternaria pollen counts. Spores of the genus Alternaria belong to one of the most prevailing constituents of the air in all regions of the world. They form infectious inoculum of numerous plant species as well as severe inhaled allergies. A precise definition of the mold spore season onset is crucial to confirm the mold allergy diagnosis and to develop personalized treatment for patients with allergic rhinitis and asthma. The most comprehensive approach is the development of a pan-European sentinel network, which combines all these strategies. GT may be a useful tool in the differentiation of the mold spore seasons, especially when they overlap as in the case of Ambrosia. Four terms “running nose”, “tears”, “dyspnea”, and “cough” (in Cyrillic equivalents) are required in Ukraine to account for Alternaria spore exposure.
The combination of GT tools with spore counts may be used in large-scale epidemiological studies. The development of a pan-European sentinel network for allergic diseases has raised the problem of translating the Google search terms into different European languages. GT analysis is a tool to improve and tailor our communication with patients and the general public along with
building our sentinel network languages. Our data can be used as a successful tool for allergy patients to prevent or minimize exposure during the mold spore season.
Ключові слова: Alternaria, Google Trends, алергія, алергічний риніт, астма.
Keywords: Alternaria, Google Trends, allergy, allergic rhinitis, asthma.
Full text GDV, GOOGLE TRENDS and ASTMA:
Patterns_in_Google_2020GDV, GOOGLE TRENDS and ASTMA
See also:
GDV and INFORMATION ENERGY PROCESSES OF THE HUMAN ORGANISM
And more texts in IUMAB Library