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  <title><![CDATA[Special QBioS Seminar]]></title>
  <body><![CDATA[<p><em><strong>&ldquo;Modelling the Propagation of Epidemics with Diffusion&rdquo;</strong></em></p>

<p><strong><a href="http://cams.ehess.fr/henri-berestycki/">Henri Berestycki, Ph.D.</a><br />
Professor<br />
Centre d&rsquo;analyse et math&eacute;matique sociales<br />
CNRS and &Eacute;cole des hautes &eacute;tudes en sciences sociales (EHESS)<br />
Paris, France</strong></p>

<p><em><strong><a href="https://gatech.zoom.us/j/92221020852?pwd=UlJPR3ROUWZYd2hvSzkrK1ErcDMyZz09">Zoom link</a> for virtual participation</strong></em><br />
<br />
ABSTRACT<br />
Including diffusion in the classical framework of SIR equations in epidemiology leads to reaction-diffusion systems. In epidemiology, diffusion arises under several guises. After reviewing some classical results, Prof. Berestycki&nbsp;will present recent works that deal with diffusion and were motivated by the ongoing Covid-19 pandemic. If time permits, he&nbsp;will talk about:</p>

<ul>
	<li>a model of spatial spreading of Covid 19 in France with diffusion on graphs&nbsp;</li>
	<li>the effects of fast diffusion on lines such as roads; and</li>
	<li>the effects of individual behaviors and social diffusion&nbsp;on the dynamics of epidemics</li>
</ul>

<p>&nbsp;</p>
]]></body>
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      <value><![CDATA[<p><a href="mailto:jsweitz@gatech.edu)">Joshua Weitz, Ph.D.</a></p>
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