Yuan, P., Aruffo, E., Ogden, N., Gatov, E., Gournis, E., Collier S., Li, Q., Moyles, I., Bouchra, N., and Zhu, H., 2021: School and Community Reopening During the COVID-19 Pandemic: A Mathematical Modeling Study. MedRxiv. doi: https://doi.org/10.1101/2021.01.13.21249753
Archives: Publications
Community structured model for vaccine strategies to control COVID19 spread: a mathematical study
Aruffo, E., Yuan, P., Tan, Y., Gatov, E., Gournis, E., Collier S., Ogden, N., Bélair, J., and Zhu, H., 2021: Community structured model for vaccine strategies to control COVID19 spread: a mathematical study. MedRxiv. doi: https://doi.org/10.1101/2021.01.25.21250505
Evaluating the risk of reopening the border: a case study of Ontario (Canada) to New York (USA) using mathematical modeling
Yuan, P., Aruffo, E., Li, Q., Li, J., Tan, Y., Zheng, T., David, J., Ogden, N., Gatov, E., Gournis, E., Collier S., Sander, B., Fan, G., Heffernan, J., Li, J., Kong, J., Arino, J., Bélair, J., Watmough, J., and Zhu, H., 2021: Evaluating the risk of reopening the border: a case study of Ontario (Canada) […]
Modeling the potential impact of indirect transmission on COVID-19 epidemic
David, J., Iyaniwura, S., Yuan, P., Tan, L., Kong, J., Zhu, H., 2021: Modeling the potential impact of indirect transmission on COVID-19 epidemic. MedRxiv. doi: https://doi.org/10.1101/2021.01.28.20181040
Evaluating the impact of the travel ban within mainland China on the epidemic of the COVID-19
Xue, L., Jing, S., Sun, W., Liu, M., Peng, Z., Zhu, H., 2021: Evaluating the impact of the travel ban within mainland China on the epidemic of the COVID-19. International Journal of Infectious Disease. Vol. 107, P. 278-283. https://doi.org/10.1016/j.ijid.2021.03.088
The Ontario Climate Data Portal, a user-friendly portal of Ontario-specific climate projections
Zhu, H., Liu, J., Zhou, X., Chen, X., Qiu, X. Bello, R., Deng, Z. 2020. The Ontario Climate Data Portal, a user-friendly portal of Ontario-specific climate projections. Nature, Scientific Data, 7, 147 (2020).
Efficacy of “stay-at-home” policy and transmission of COVID-19 in Toronto, Canada: a mathematical modeling study
Yuan, P., Li, J., Aruffo, E., Li, Q. Zheng T., Ogden, N., Sander, b., Heffernan, J., Gatov, E., Gournis, E., Collier, S., Tan, Y., Li, J., Arino, J., Bélair, J., Watmough, J., Kong, J., Moyles, I., Zhu, H., 2020: Efficacy of “stay-at-home” policy and transmission of COVID-19 in Toronto, Canada: a mathematical modeling study. MedRxiv. https://doi.org/10.1101/2020.10.19.20181057
The number of public healthcare personnel and the prevention and control of COVID-19
Rong, X., Yang, L., Chu, H., Zhou, L., Chen, M., Fan, F., Zhu, H., 2020: The number of public healthcare personnel and the prevention and control of COVID-19. . Acta Mathematicae Applicatae Sinica (Chinese). Vol. 43(2); p. 335-349
Four-tier response system and spatial propagation of COVID-19 in China by a network model
Ge, J., He, D., Lin, Z., Zhu, H., and Zhuang, Z., 2020: Four-tier response system and spatial propagation of COVID-19 in China by a network model. . Mathematical Biosciences. Vol. 330.
A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy
Xue, L., Jing, J., Miller, J., Sun, W., Li, H., Estrada-Franco, J., Hyman, J., Zhu, H., 2020: A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy. Mathematical Biosciences. Vol. 326
