• List of Articles Covid19

      • Open Access Article

        1 - Determining COVID-19 Tweet Check-Worthiness: Based On Deep Learning Approach
        hosniyeh safiarian Mohammad Jafar Tarokh MohammadAli Afshar Kazemi
      • Open Access Article

        2 - Explaining the social resilience of the touristic villages of Rasht county against Covid-19
        shiva ganjian Nasrollah MolaeiHashjin Atoosa Bigdeli
        The present study was conducted with the aim of explaining the social resilience of the touristic villages of Rasht County against Covid-19. The current research is applied according to its purpose and descriptive-analytical according to its method and nature. To collec More
        The present study was conducted with the aim of explaining the social resilience of the touristic villages of Rasht County against Covid-19. The current research is applied according to its purpose and descriptive-analytical according to its method and nature. To collect information from documentary-library and field methods and direct observation methods and from tools such as; Questionnaires and interviews have been used. In order to analyze the data and information, SPSS software, GIS and Mamdani and Dimtel fuzzy models were used. Based on the data analysis, the social resilience of touristic villages against the Covid-19 disease was lower than average, so that the indicators (sense of belonging to the place and participation) with a positive EI value were determined as effective indicators. And the indicators (awareness and public and institutional trust) were determined as indicators with a negative EI value as influential indicators, and among the influential indicators, respectively: participation and sense of belonging to the place the most and They have assigned the least amount of influence on the longevity of people in the tourism sector. Further, the results showed that the central and Khokhbijar Districts of their social resilience against Corona are somewhat low, Khammam their resilience against Corona is low, LeshtNasha, KochSefahan and Sangar their resilience against Corona is very low. Manuscript profile