Modelling nematode populations: 20 years of progress.
Mathematical models require a fine balance between biological detail and mathematical tractability. Models can now accommodate much more biological complexity but, nevertheless, they focus on elucidation of principles rather than exact predictions. In this article, I discuss the advances made in population modelling of nematode parasites since the first issues of Parasitology Today.
Cornell
Stephen
S
School of Biology, University of Leeds, Leeds LS2 9JT, UK. s.j.cornell@leeds.ac.uk
D000818:Animals; D000969:Antinematodal Agents / Q000494:pharmacology*; D004351:Drug Resistance; D006801:Humans; D008433:Mathematics; D008954:Models, Biological; D009348:Nematoda / Q000187:drug effects / Q000235:genetics / Q000254:growth & development*; D009349:Nematode Infections / Q000469:parasitology / Q000517:prevention & control*; D011157:Population Dynamics; D011237:Predictive Value of Tests; D013269:Stochastic Processes
D000969:Antinematodal Agents