<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Helminths, immunology and equations

Name: Helminths, immunology and equations
Keywords: CD4-Positive T-Lymphocytes, T-Lymphocyte Subsets, Helminthiasis, Immune Tolerance, Cytokines, Humans, Hypersensitivity, Delayed, T-Lymphocytes, Helper-Inducer, Models, Biological, Host-Parasite Interactions

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1991Publisher:Elsevier BVJournal:Parasitology Today, volume 7, pages 76-81 (issn: 0169-4758,

Authors: Roy M. Anderson; Nicky Schweitzer;

doi: 10.1016/0169-4758(91)90039-q , 10.1016/s0167-5699(05)80022-2

pmid: 1676888

Helminths, immunology and equations

- Summary
- Subjects
- Metrics

Abstract

Although the immune system is becoming better characterized, it is by no means becoming easier to predict the outcome of activation given the many potential influences upon the ultimate expression of an immune response. In this article, Nicky Schweitzer and Roy Anderson investigate the application of mathematics to this highly nonlinear system, and show how it can complement experimentation from both a predictive and interpretative point of view.

Related Organizations

Imperial College London
United Kingdom
University College London
United Kingdom
University of London
United Kingdom

Keywords

CD4-Positive T-Lymphocytes, T-Lymphocyte Subsets, Helminthiasis, Immune Tolerance, Cytokines, Humans, Hypersensitivity, Delayed, T-Lymphocytes, Helper-Inducer, Models, Biological, Host-Parasite Interactions

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	18
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%