Mathematical modeling and analysis in spatial ecology and epidemiology
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Organizer(s): |
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Affiliation:
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Yu Jin
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University of Nebraska-Lincoln
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USA
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Yijun Lou
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The Hong Kong Polytechnic University
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Hong Kong
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Xiaoqiang Zhao
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Memorial University of Newfoundland
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Canada
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Introduction:
| | Mathematical modeling and analysis have been powerful in discovering novel dynamics and understanding driving mechanisms for observed phenomena in ecology and epidemiology. Recently, emerging ecological or epidemiological challenges such as those in the context of climate changes or disease outbreaks need urgent attention and lead to new demanding and tough mathematical problems. In this special session, we propose to invite researchers to present recent advances on mathematical modeling and analysis in spatial ecology and epidemiology. The proposed session mainly focuses on mathematical investigation of long-term dynamics and spatial spread of populations or diseases using reaction-diffusion equations (local dispersal) and integrodifferential equations (nonlocal dispersal). This session will serve as a platform for researchers to exchange new ideas and initiate potential collaborations.
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