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Journal of Sustainable Tourism ; 31(1):149-167, 2023.
Article in English | Scopus | ID: covidwho-2240033


The COVID-19 pandemic has already had significant impact on tourist flows worldwide. The requirements of safe models of tourism in the time of COVID-19, avoiding crowded localities and providing individual types of accommodation, can largely be met in second homes. This study aims to examine whether and how the COVID-19 pandemic and related restrictions impacted the usage patterns of second homes in terms of: (1) the number of visits and length of stay, (2) the purpose of the second-home utilisation. An integral part of the study was to recognise how these new and existing im/mobilities were determined by a range of personal, social, contextual, and relational factors. The data collected from direct interviews and online surveys was tested using sign and Wilcoxon tests, while the interactive classification tree (C&RT) model was used to explain the reasons for changing or maintaining an existing second-home usage pattern. The research results showed that for most second-home owners their home-usage pattern remained the same as in 2019. If it changed, it was more common to extend the stay by moving in, working at a distance, or commuting to work, rather than to shorten the stay at the second home. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

13th International Conference on Information and Communication Technology Convergence, ICTC 2022 ; 2022-October:2326-2329, 2022.
Article in English | Scopus | ID: covidwho-2161409
JMIR Human Factors ; 9(3), 2022.
Article in English | ProQuest Central | ID: covidwho-2054779
Journal of Ethnobiology and Ethnomedicine ; 18:1-13, 2022.
Article in English | ProQuest Central | ID: covidwho-1848785
Virol J ; 17(1): 138, 2020 09 14.
Article in English | MEDLINE | ID: covidwho-757071


The outbreak of coronavirus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has posed significant threats to international health. The genetic traits as well as evolutionary processes in this novel coronavirus are not fully characterized, and their roles in viral pathogenesis are yet largely unknown. To get a better picture of the codon architecture of this newly emerging coronavirus, in this study we perform bioinformatic analysis, based on publicly available nucleotide sequences of SARS-CoV-2 along with those of other members of human coronaviruses as well as non-human coronaviruses in different hosts, to take a snapshot of the genome-wide codon usage pattern of SARS-CoV-2 and uncover that all over-represented codons end with A/U and this newly emerging coronavirus has a relatively low codon usage bias, which is shaped by both mutation pressure and natural selection. Additionally, there is slight variation in the codon usage pattern among the SARS-CoV-2 isolates from different geo-locations. Furthermore, the overall codon usage pattern of SARS-CoV-2 is generally similar to that of its phylogenetic relatives among non-human betacoronaviruses such as RaTG13. Taken together, we comprehensively analyze the characteristics of codon usage pattern in SARS-CoV-2 via bioinformatic approaches. The information from this research may not only be helpful to get new insights into the evolution of SARS-CoV-2, but also have potential value for developing coronavirus vaccines.

Betacoronavirus/genetics , Codon Usage , Coronavirus Infections/virology , Genome, Viral , Pneumonia, Viral/virology , Animals , Base Sequence , COVID-19 , Cluster Analysis , Codon , Computational Biology , Evolution, Molecular , Humans , Mutation , Pandemics , Phylogeny , SARS-CoV-2 , Selection, Genetic , Viral Proteins/genetics , Whole Genome Sequencing