The global outbreak of COVID-19 has caused worrying concern amongst the public and health authorities. The first and foremost problem that many countries face is a shortage of medical resources. In this talk I shall present how we quantified the enhanced control measures, the dynamics of the production and provision of medical resources in order to identify the key parameters or processes that have the greatest effects on the pandemic. By parameterizing the proposed model using the multi-source data we obtained the rate functions related to the intensity of mitigation measures, the effective reproduction numbers and the timings and durations of runs on medical resources, and further we investigated the variation in timings and durations of runs on medical resources with other factors. The findings may provide the theoretical basis for health authorities to optimize resource allocation.

Dr Yanni Xiao, professor of Xi'an Jiaotong University, Xi’an, China, director of the Interdisciplinary Research Center of Mathematics and Life Sciences (IRCMLS). She obtained her PhD from the Academy of Mathematics and Systems Science (AMSS), and the Chinese Academy of Sciences (CAS) in 2001, and then her postdoc at AMSS and the University of Liverpool, UK. Dr Xiao has collaborated with China CDC on modelling HIV/AIDS infection, as a PI of modelling on a subproject of National Mega-project of Science Research, with Chinese PLA Institute for Disease Control and Prevention on modelling hospital infection. She has served as PI for several NSFC grants and published papers in the subjects of non-smooth dynamical system and mathematical epidemiology in journals of J Differ Equations, P Roy Soc B-Biol Sci, BMC Medicine, J Math Biol, Bull Math Biol and etc.

Contact information: yxiao@mail.xjtu.edu.cn and http://gr.xjtu.edu.cn/web/yxiao