References
- Cameron, A. C., & Trivedi, P. K. (2013). Regression analysis of count data (vol. 53). Cambridge university press.
- Chen, S., Yang, J., Yang, W., Wang, C., & Bärnighausen, T. (2020). COVID-19 control in China during mass population movements at new year. The Lancet, 395(10226), 764–766. https://doi.org/10.1016/S0140-6736(20)30421-9
- Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., Pastore y Piontti, A., Mu, K., Rossi, L., Sun, K., Viboud, C., Xiong, X., Yu, H., Elizabeth Halloran, M., Longini Jr, I. M., & Vespignani, A. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science, 368(6489), 395–400. https://doi.org/10.1126/science.aba9757
- Czaika, M., & Neumayer, E. (2020). On the negative impact of time zone differences on international tourism. Current Issues in Tourism, 23(10), 1181–1185. https://doi.org/10.1080/13683500.2019.1590322
- Gilbert, M., Pullano, G., Pinotti, F., Valdano, E., Poletto, C., Boëlle, P.-Y., D’Ortenzio, E., Yazdanpanah, Y., Eholie, S. P., Altmann, M., Gutierrez, B., Kraemer, M. U. G., & Colizza, V. (2020). Preparedness and vulnerability of African countries against importations of COVID-19: A modelling study. The Lancet, 395(10227), 871–877. https://doi.org/10.1016/S0140-6736(20)30411-6
- Gössling, S., Scott, D., & Hall, C. M. (2020). Pandemics, tourism and global change: A rapid assessment of COVID-19. Journal of Sustainable Tourism, 1–20. https://doi.org/10.1080/09669582.2020.1758708
- Kucharski, A. J., Russell, T. W., Diamond, C., Liu, Y., Edmunds, J., Funk, S., & Eggo, R. M. (2020). Early dynamics of transmission and control of COVID-19: A mathematical modelling study. The Lancet Infectious Diseases, 20(5), 553–558. https://doi.org/10.1016/S1473-3099(20)30144-4
- Mayer, T., & Zignago, S. (2011). Notes on CEPII’s distances measures: The GeoDist database (No. 2011-25) (retrieved April, 20, 2020). Paris. www.cepii.fr/PDF_PUB/wp/2011/wp2011-25.pdf.
- Morley, C., Rosselló, J., & Santana-Gallego, M. (2014). Gravity models for tourism demand: Theory and use. Annals of Tourism Research, 48, 1–10. https://doi.org/10.1016/j.annals.2014.05.008
- Santeramo, F. G., & Morelli, M. (2016). Modelling tourism flows through gravity models: A quantile regression approach. Current Issues in Tourism, 19(11), 1077–1083. https://doi.org/10.1080/13683500.2015.1051518