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Can Google Trends data improve forecasting of Lyme disease incidence?
Kapitány-Fövény M, Ferenci T, Sulyok Z, Kegele J, Richter H, Vályi-Nagy I, Sulyok M. Kapitány-Fövény M, et al. Among authors: sulyok m, sulyok z. Zoonoses Public Health. 2019 Feb;66(1):101-107. doi: 10.1111/zph.12539. Epub 2018 Nov 16. Zoonoses Public Health. 2019. PMID: 30447056
Burden of serious fungal diseases in Hungary.
Sinkó J, Sulyok M, Denning DW. Sinkó J, et al. Among authors: sulyok m. Mycoses. 2015 Oct;58 Suppl 5:29-33. doi: 10.1111/myc.12385. Mycoses. 2015. PMID: 26449504
Predicting tick-borne encephalitis using Google Trends.
Sulyok M, Richter H, Sulyok Z, Kapitány-Fövény M, Walker MD. Sulyok M, et al. Among authors: sulyok z. Ticks Tick Borne Dis. 2020 Jan;11(1):101306. doi: 10.1016/j.ttbdis.2019.101306. Epub 2019 Sep 22. Ticks Tick Borne Dis. 2020. PMID: 31624027
Forecasting tuberculosis using diabetes-related google trends data.
Frauenfeld L, Nann D, Sulyok Z, Feng YS, Sulyok M. Frauenfeld L, et al. Among authors: sulyok m, sulyok z. Pathog Glob Health. 2020 Jul;114(5):236-241. doi: 10.1080/20477724.2020.1767854. Epub 2020 May 26. Pathog Glob Health. 2020. PMID: 32453658 Free PMC article.
305 results