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Pandemic prevention via tourism: A conceptual framework

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  • Jiang, Yangyang
  • Wen, Jun
  • Zheng, Danni
  • Phau, Ian
  • Wang, Wei

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Suggested Citation

  • Jiang, Yangyang & Wen, Jun & Zheng, Danni & Phau, Ian & Wang, Wei, 2022. "Pandemic prevention via tourism: A conceptual framework," Annals of Tourism Research, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:anture:v:96:y:2022:i:c:s0160738322001141
    DOI: 10.1016/j.annals.2022.103463
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    References listed on IDEAS

    as
    1. Pierre Nouvellet & Sangeeta Bhatia & Anne Cori & Kylie E. C. Ainslie & Marc Baguelin & Samir Bhatt & Adhiratha Boonyasiri & Nicholas F. Brazeau & Lorenzo Cattarino & Laura V. Cooper & Helen Coupland &, 2021. "Reduction in mobility and COVID-19 transmission," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    2. Ziad Obermeyer, 2021. "A machine-learning algorithm to target COVID testing of travellers," Nature, Nature, vol. 599(7883), pages 34-36, November.
    3. Ewen Callaway & Heidi Ledford, 2021. "How bad is Omicron? What scientists know so far," Nature, Nature, vol. 600(7888), pages 197-199, December.
    4. Balaji, M.S. & Jiang, Yangyang & Jha, Subhash, 2021. "Nanoinfluencer marketing: How message features affect credibility and behavioral intentions," Journal of Business Research, Elsevier, vol. 136(C), pages 293-304.
    5. Elina Jaakkola, 2020. "Designing conceptual articles: four approaches," AMS Review, Springer;Academy of Marketing Science, vol. 10(1), pages 18-26, June.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Yangyang Jiang & Cenhua Lyu & M.S. Balaji, 2025. "Progress in research on tourists with mental disorders: A critical review and the way forward," Post-Print hal-04778115, HAL.

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