TY - JOUR
T1 - March 2020: 31 days that will reshape tourism
AU - António, Nuno
AU - Rita, Paulo
N1 - António, N., & Rita, P. (2020). March 2020: 31 days that will reshape tourism. Current Issues in Tourism. [Advanced online publication on 25 december, 2020]. https://doi.org/10.1080/13683500.2020.1863927
PY - 2020/12/25
Y1 - 2020/12/25
N2 - Lessons from previous endemics/pandemics show which type/timing of public health measures had a significant influence on the impact of diseases. However, those show that public health measures and travel restrictions represent a significant burden on countries’ economies, especially in the tourism industry. This study aims to investigate whether a country’s dependence on tourism might influence the time/nature of pandemic mitigation measures and the impact of the pandemic on tourism, particularly in the hospitality sector. To achieve a comprehensive/multidimensional perspective, 12 European countries were studied based on the collection of data from 6 different sources: cases/deaths caused by the disease, economic indicators, public health measures, rooms supply/demand, reservation/cancellation rates, demographic and healthcare system characteristics. Using data science techniques/methods allowed to verify that the dependence of some countries on tourism did not make them to have a different behaviour in terms of the application of measures. Despite the differences in the timings/types of measures implemented, tourism was highly affected in all countries.
AB - Lessons from previous endemics/pandemics show which type/timing of public health measures had a significant influence on the impact of diseases. However, those show that public health measures and travel restrictions represent a significant burden on countries’ economies, especially in the tourism industry. This study aims to investigate whether a country’s dependence on tourism might influence the time/nature of pandemic mitigation measures and the impact of the pandemic on tourism, particularly in the hospitality sector. To achieve a comprehensive/multidimensional perspective, 12 European countries were studied based on the collection of data from 6 different sources: cases/deaths caused by the disease, economic indicators, public health measures, rooms supply/demand, reservation/cancellation rates, demographic and healthcare system characteristics. Using data science techniques/methods allowed to verify that the dependence of some countries on tourism did not make them to have a different behaviour in terms of the application of measures. Despite the differences in the timings/types of measures implemented, tourism was highly affected in all countries.
KW - Covid-19
KW - crisis
KW - data science
KW - epidemics
KW - hospitality
KW - pandemics
UR - http://www.scopus.com/inward/record.url?scp=85098515005&partnerID=8YFLogxK
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000603844300001
U2 - 10.1080/13683500.2020.1863927
DO - 10.1080/13683500.2020.1863927
M3 - Article
AN - SCOPUS:85098515005
JO - Current Issues in Tourism
JF - Current Issues in Tourism
SN - 1368-3500
ER -