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Health precautions while traveling after COVID-19

Author

Listed:
  • Sharon, Teitler Regev
  • Shahrabani, Shosh

Abstract

Purpose: The tourism industry needs to identify potential tourists' planned behavior after COVID-19 and prepare accordingly. This study was conducted in Israel during the initial outbreak of COVID-19. This research focused on different types of precautionary measures used by the tourists and how perceived risk of getting sick with COVID-19 while traveling abroad as well as risk perceptions and attitudes about travel abroad might affect tourists' intentions to adopt precautionary measures when planning future travel abroad. Methods: This research is based on an online survey questionnaire distributed during March 2020 among four hundred and six Israeli participants. Results: The analytical model show that people's with higher levels of attitudes toward traveling abroad and those that prefer to avoid destinations with higher levels of attitudes toward traveling abroad and those that prefer to avoid travel to destinations with various risks had higher intentions to take precautionary measures while traveling abroad. Implications: The results of the current research can assist the tourism industry understand what precautionary measures are important to potential travellers and what health safety assurances the industry must provide to facilitate its recovery in the near future.

Suggested Citation

  • Sharon, Teitler Regev & Shahrabani, Shosh, 2021. "Health precautions while traveling after COVID-19," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7, pages 68-73.
    • Handle: RePEc:zbw:espost:243094
    DOI: 10.5281/zenodo.5550822
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    More about this item

    Keywords

    COVID-19; tourism; health threat perception; future travel avoidance; precautionary measures;
    All these keywords.

    JEL classification:

    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I1 - Health, Education, and Welfare - - Health

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