Mathematical models that predict epidemiological outcomes in the treatment of viral infections enable prospective evaluation of complex public health decisions (pages 673–678).
Access options
Subscribe to Journal
Get full journal access for 1 year
$225.00
only $18.75 per issue
All prices are NET prices.
VAT will be added later in the checkout.
Rent or Buy article
Get time limited or full article access on ReadCube.
from$8.99
All prices are NET prices.
References
- 1
Blower, S.M., Porco, T.C. & Darby, G. Predicting and preventing the emergence of antiviral drug resistance: HSV-2. Nature Med. 4, 673–678 (1998).
- 2
Jacquez, J.A. in Compartmental analysis in biology and medicine. (University of Michigan Press, Ann Arbor, 1985).
- 3
Anderson, R.A. & May, R.M. in Infectious diseases of humans: Dynamics and control. (Oxford University Press, Oxford, 1991).
- 4
Kaplan, E.H. & Heimer, R. A circulation theory of needle exchange. AIDS 8, 567–574 (1994).
- 5
Anderson, R.M. & May, R.M. Age-related changes in the rate of disease transmission: Implications for the design of vaccination programmes. J. Hyg. Camb. 94, 365–436 (1985).
- 6
Eddy, D.M. in Screening for cancer: Theory, analysis and design. (Prentice-Hall, Inc., Englewood Cliffs, 1990).
- 7
Brandeau, M.L., Owens, D.K., Sox, C.H. & Wachter, R.M. Screening women of childbearing age for human immunodeficiency virus: A model-based policy analysis. Management Science 39, 72–92(1993).
Author information
Affiliations
Rights and permissions
About this article
Cite this article
Kaplan, E. To treat or not to treat?. Nat Med 4, 664–665 (1998) doi:10.1038/nm0698-664
Issue Date
DOI
Further reading
-
What can modeling tell us about the threat of antiviral drug resistance?
Current Opinion in Infectious Diseases (2002)
-
Predicting the unpredictable: Transmission of drug-resistant HIV
Nature Medicine (2001)