Mathematical model—tell us the future! | Zendy

Pentti Huovinen | Zendy

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Mathematical model—tell us the future!

Author(s) -

Pentti Huovinen

Publication year - 2005

Publication title -

journal of antimicrobial chemotherapy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.124

H-Index - 194

eISSN - 1460-2091

pISSN - 0305-7453

DOI - 10.1093/jac/dki230

Subject(s) - antibiotic resistance , construct (python library) , intensive care medicine , computer science , limit (mathematics) , antibiotics , antimicrobial , drug resistance , medicine , risk analysis (engineering) , data science , econometrics , biology , mathematics , microbiology and biotechnology , mathematical analysis , programming language

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.

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