Tribute to Horst R. Thieme on the occasion of his 60th birthday
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Department of Mathematics and Statistics, Arizona State University, Tempe, AZ, 85287
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Accepted:
29 June 2018
Published:
01 January 2010
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It is a great pleasure to congratulate Horst on his 60th birthday
and to dedicate this volume to him in honor of his many
contributions to the field of mathematical biology.
Horst Thieme has been, over a period of thirty years, one of the
most productive scientists in Mathematical Biology, with numerous
works on subjects centered on population biology and transmission
and control of infectious disease. He has provided a number of
rigorous mathematical tools for the study of structured populations,
the problem of biological invasion, and the limiting behavior of
epidemic and other population models. Horst Thieme's work can be
characterized by deep insight into the underlying structure of
biological phenomena and mechanisms, great skills in entering these
insights into feasible models, and by rigorous mathematics
validating or sometimes rejecting modeling approaches.
For more information please click the “Full Text” above.
Citation: Hal L. Smith. Tribute to Horst R. Thieme on the occasion of his 60th birthday[J]. Mathematical Biosciences and Engineering, 2010, 7(1): i-iii. doi: 10.3934/mbe.2010.7.1i
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Abstract
It is a great pleasure to congratulate Horst on his 60th birthday
and to dedicate this volume to him in honor of his many
contributions to the field of mathematical biology.
Horst Thieme has been, over a period of thirty years, one of the
most productive scientists in Mathematical Biology, with numerous
works on subjects centered on population biology and transmission
and control of infectious disease. He has provided a number of
rigorous mathematical tools for the study of structured populations,
the problem of biological invasion, and the limiting behavior of
epidemic and other population models. Horst Thieme's work can be
characterized by deep insight into the underlying structure of
biological phenomena and mechanisms, great skills in entering these
insights into feasible models, and by rigorous mathematics
validating or sometimes rejecting modeling approaches.
For more information please click the “Full Text” above.
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