應(yīng)yl7703永利官網(wǎng)院長李萬同教授和王賓國教授邀請, 武漢大學(xué)yl7703永利官網(wǎng)鄒秀芬教授將于2022年1月10日-1月11日與我校有關(guān)師生舉行線上學(xué)術(shù)研討，其中1月10日舉行線上專題學(xué)術(shù)報告。.

報告題目：The mathematical modeling for SARS-COV-2 infection and dynamical analysis.

時 間：1月10日（星期一）上午9 : 30

騰訊會議 ID：797 666 977

報告摘要：Based on available data for COVID-19, we presented two mathematical models for SARS-CoV-2 infection. One is the coinfection of SARS-CoV-2 and bacteria to investigate the dynamics of COVID-19 progress. Another is a multi-scale computational model to understand the heterogeneous progression of COVID-19 patients. Combining theoretical analysis, numerical simulations and quantitative computations, we revealed that initial bacterial infection and immune-related parameters have great influences on the severity degree and mortality in COVID-19 patients. We further identified that T cell exhaustion plays a key role in the transition between mild-moderate and severe symptoms. In addition, we quantified the efficacy of treating COVID-19 patients and investigated the effects of various therapeutic strategies. These results highlight the critical roles of IFN and T cell responses in regulating the stage transition during COVID-19 progression.

鄒秀芬教授簡介：鄒秀芬, 武漢大學(xué)yl7703永利官網(wǎng)二級教授，博士生導(dǎo)師，中國工業(yè)與應(yīng)用數(shù)學(xué)學(xué)會數(shù)學(xué)生命科學(xué)專業(yè)委員會副主任。長期從事數(shù)學(xué)與生物醫(yī)學(xué)等交叉學(xué)科研究。近年來主持承擔(dān)了國家自然科學(xué)基金重點項目、面上項目和科技部國家重大研究計劃課題等科研課題。在復(fù)雜疾病的海量數(shù)據(jù)集成、多尺度建模和復(fù)雜疾病的優(yōu)化控制等方面取得了一系列成果，已在“SIAM on Applied Mathematics”, “Applied Mathematical Modeling”, “PLOS Computational biology”, “Bulletin of Mathematical Biology”, “IEEE Transactions on Biomedical Engineering”等國際重要學(xué)術(shù)期刊上發(fā)表相關(guān)的學(xué)術(shù)論文。 

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