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JAC Advance Access originally published online on June 21, 2005
Journal of Antimicrobial Chemotherapy 2005 56(2):257-258; doi:10.1093/jac/dki230
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© The Author 2005. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For Permissions, please e-mail: journals.permissions@oupjournals.org

Leading article

Mathematical model—tell us the future!

Pentti Huovinen*

Antimicrobial Research Laboratory, Department of Bacterial and Inflammatory Diseases, National Public Health Institute, Finland

* E-mail: pentti.huovinen{at}ktl.fi

Studying bacterial resistance has direct importance for the antimicrobial treatment of individual patients. In addition, surveillance data pooled from individual diagnostic reports help physicians to choose the most effective drug for empirical therapy. However, this is not the limit of what can be done with the resistance data. There is an increasing need to synthesize the available strands of data in order to construct mathematical models that can be used as tools to predict the likely outcomes of various antibiotic policy options.

Keywords: resistance , surveillance , antibiotic consumption , mathematical models


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