Progress and trends in mathematical modelling of influenza A virus infections. Issue 12 (December 2018)

• Record Type: Journal Article
• Authors: Handel, Andreas; Liao, Laura E.; Beauchemin, Catherine A.A.
• Is Part Of: Current opinion in systems biology. Issue 12(2018)
• Page Start: 30
• Page End: 36
• Publication Date: 2018-12
• Subjects: Influenza virus -- Mathematical modelling -- Antiviral resistance -- Defective interfering particles; Systems biology -- Periodicals; 570
• DOI: 10.1016/j.coisb.2018.08.009
• Languages: English
• ISSNs: 2452-3100

Abstract

Abstract: Mathematical modelling of influenza A virus infection has seen increased use over the last several years. Models applied to both in vitro and in vivo data have provided important new understanding of the kinetics of the virus, the role of different components of the immune response, the importance of non-infectious influenza A virus particles, the issue of drug treatment and resistance, and the interaction mechanisms during bacterial co-infections. We review these contributions by mathematical models, with a focus on studies performed in the last several years. For continued progress, we emphasize robust data and parameter estimation approaches. Highlights: Mathematical models have improved our understanding of influenza virus infections. Further progress can be achieved by combining rich data with properly tailored models. Harmonizing data and models is essential to obtain robust results and predictions.