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Which of Our Modeling Predictions Are Robust?

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  • Rob J De Boer

Abstract

In theoretical ecology it is well known that the steady state expressions of the variables in a food chain crucially depend on the parity of the length of the chain. This poses a major problem for modeling real food webs because it is difficult to establish their true number of trophic levels, with sometimes rare predators and often rampant pathogens. Similar problems arise in the modeling of chronic viral infections. We review examples where seemingly general interpretations strongly depend on the number of levels in a model, and on its specific equations. This Perspective aims to open the discussion on this problem.

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  • Rob J De Boer, 2012. "Which of Our Modeling Predictions Are Robust?," PLOS Computational Biology, Public Library of Science, vol. 8(7), pages 1-5, July.
    • Handle: RePEc:plo:pcbi00:1002593
    DOI: 10.1371/journal.pcbi.1002593
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    References listed on IDEAS

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    1. David D. Ho & Avidan U. Neumann & Alan S. Perelson & Wen Chen & John M. Leonard & Martin Markowitz, 1995. "Rapid Turnover of Plasma Virions and CD4 Lymphocytes in HIV-1 Infection," Working Papers 95-01-002, Santa Fe Institute.
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    1. Chen, Hongyan & Wang, Wendi & Fu, Rui & Luo, Jianfeng, 2015. "Global analysis of a mathematical model on malaria with competitive strains and immune responses," Applied Mathematics and Computation, Elsevier, vol. 259(C), pages 132-152.

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