Ozyer, BarisOzyer, Gulsah TumukluTokdemir, GulUguz, SezerYaganoglu, Mete2024-04-292025-09-182024-04-292025-09-182022Uğuz, Sezer...et.al. (2022). "The effect of population and tourism factors on Covid-19 cases in Italy: Visual data analysis and forecasting approach", Concurrency and Computation: Practice and Experience, Vol.34, No.6.1532-06261532-0634https://doi.org/10.1002/cpe.6774https://hdl.handle.net/20.500.12416/13405Yaganoglu, Mete/0000-0003-3045-169X; Ozyer, Baris/0000-0003-0117-6983; Tokdemir, Gul/0000-0003-2441-3056; Uguz, Sezer/0000-0001-6492-2846At the beginning of 2020, the new coronavirus disease (Covid-19), a deadly viral illness, is declared as a public health emergency situation by WHO. Consequently, it is accepted as pandemic that affected millions of people worldwide. Italy is one of the most affected countries by Covid-19 disease among the world. In this article, our main goal is to investigate the effect of intensity of Covid-19 cases based on the population size and tourism factors in certain regions of Italy by visual data analysis. The regions of Lombardia, Veneto, Campania, Emilia-Romagna, Piemonte are the top five regions covering 58.50% of the total Covid-19 cases diagnosed in Italy. It has been shown by visual data analysis that population and tourism factors play an important role in the spread of Covid-19 cases in these five regions. In addition, a prediction model was created using Bi-LSTM and ARIMA algorithms to forecast the number of Covid-19 cases occurring in these five regions in order to take early action. We can conclude that these northern regions have been affected mostly by Covid-19 and the distribution of the resident population and tourist flow factors affected the number of Covid-19 cases in Italy.eninfo:eu-repo/semantics/closedAccessCoronavirusCovid-19Forecasting MethodVisual Data AnalysisArticle10.1002/cpe.67742-s2.0-85121284966