Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Sep;285(1):5-8.
doi: 10.1111/imr.12700.

Introduction to modeling viral infections and immunity

Affiliations

Introduction to modeling viral infections and immunity

Alan S Perelson et al. Immunol Rev. 2018 Sep.
No abstract available

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Dynamical models can be powerful tools to understand infectious diseases, immune response and outcomes of infection. Developing models of the dynamics of cell populations or subcellular compartments interacting with pathogens, computing the target cell, pathogen, and immune system kinetics under different possible scenarios, and estimating model parameters leads to predictions about the course of the disease and clinical outcome. In this volume there are multiple examples of the state-of-the-art in applying these principles to multiple important problems in infectious diseases and immunity.

Similar articles

Cited by

References

    1. Vos T, Barber RM, Bell B, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet 2015; 386: 743–800. - PMC - PubMed
    1. Ho DD, Neumann AU, Perelson AS, Chen W, Leonard JM, Markowitz M. Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection. Nature 1995; 373: 123–126. - PubMed
    1. Wei X, Ghosh SK, Taylor ME, et al. Viral dynamics in human immunodeficiency virus type 1 infection. Nature 1995; 373: 117–122. - PubMed
    1. Perelson AS, Guedj J. Modelling hepatitis C therapy—predicting effects of treatment. Nat. Rev. Gastroenterol. Hepatol 2015; 12: 437–445. - PMC - PubMed
    1. Arazi A, Pendergraft WF, Ribeiro RM, Perelson AS, Hacohen N. Human systems immunology: Hypothesis-based modeling and unbiased data-driven approaches. Semin. Immunol 2013; 25: 193–200. - PMC - PubMed

Publication types

Substances