Rethinking COVID-19 tourism recovery
Document Type
Article
Source of Publication
Annals of Tourism Research
Publication Date
5-1-2026
DOI Link
ISSN
Publisher
Elsevier BV
Volume
118
Disciplines
Tourism and Travel
Keywords
COVID-19, Forecasting, Machine learning, Policy impact, Resilience, Scenario analysis, Tourism recovery
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Fotiadis, Anestis; Polyzos, Efstathios; and Huan, Tzung Cheng, "Rethinking COVID-19 tourism recovery" (2026). All Works. 7834.
https://zuscholars.zu.ac.ae/works/7834
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Hybrid: This publication is openly available in a subscription-based journal/series
COinS