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      學(xué)術(shù)動(dòng)態(tài) >> 正文
      加拿大新布倫瑞克大學(xué)王林教授學(xué)術(shù)報(bào)告會(huì)(11月12日)
      發(fā)布人:   信息來(lái)源:   日期:2022-11-10 09:31:14    打印本文


      報(bào)告題目:The importance of quarantine: modelling the COVID-19 testing process

      報(bào)告時(shí)間:20211112日(周六)上午8:40------9:20

      報(bào)告地點(diǎn):617-136-818(騰訊會(huì)議)

      報(bào)告人:王林教授

      報(bào)告人單位:加拿大新布倫瑞克大學(xué)

      報(bào)告人簡(jiǎn)介:

          王林教授,2003年博士畢業(yè)于加拿大紐芬蘭紀(jì)念大學(xué),現(xiàn)任加拿大新布倫瑞克大學(xué)教授。山西省“百人計(jì)劃”入選者、“131”領(lǐng)軍人才、加拿大新布倫瑞克大學(xué)教授。主要從事應(yīng)用數(shù)學(xué)研究,其研究涉及生物數(shù)學(xué)、生態(tài)學(xué)、神經(jīng)網(wǎng)絡(luò)、優(yōu)化控制、流行病學(xué)等多個(gè)領(lǐng)域。主持和參與加拿大國(guó)家自然與工程基金、加拿大MITACS基金重點(diǎn)項(xiàng)目、加拿大自然與工程戰(zhàn)略項(xiàng)目等6項(xiàng)。已在SIAM J. Appl. Math.、Journal of Differential Equations、Journal of Mathematical Biology、Journal of Theoretical Biology、Mathematical Biosciences、SIAM Journal on Matrix Analysis and Applications等發(fā)表論文30余篇,其中多篇論文發(fā)表在國(guó)際一流學(xué)術(shù)刊物上(SCI總影響因子約54.7)。論文多次被國(guó)際同行引用(總引次數(shù)達(dá)700余次)。曾榮獲青年學(xué)者獎(jiǎng)、杰出研究獎(jiǎng)等多項(xiàng)獎(jiǎng),是美國(guó)數(shù)學(xué)學(xué)會(huì)特邀評(píng)論員,是國(guó)際應(yīng)用數(shù)學(xué)界的杰出青年學(xué)者。

       

       

      報(bào)告摘要

      In this talk, we incorporate the disease state and testing state into the formulation of a COVID-19 epidemic model. For this model, the basic reproduction number is identified and its dependence on model parameters related to the testing process and isolation efficacy is discussed. The relations between the basic reproduction number, the final epidemic and peak sizes, and the model parameters are further explored numerically. We find that fast test reporting does not always benefit the control of the COVID-19 epidemic. Moreover, the final epidemic  and peak sizes do not always increase along with the basic reproduction number. Under some circumstances, lowering the basic reproduction number increases the final epidemic and peak sizes. Our findings suggest that properly implementing isolation for individuals who are waiting for their testing results would lower the basic reproduction number as well as the final epidemic and peak sizes.

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