The probability of HIV infection in a new host and its reduction with microbicides

Math Biosci. 2008 Jul-Aug;214(1-2):81-6. doi: 10.1016/j.mbs.2008.03.005. Epub 2008 Mar 28.

Abstract

We use a simple mathematical model to estimate the probability and its time dependence that one or more HIV virions successfully infect target cells. For the transfer of a given number of virions to target cells we derive expressions for the probability P(inf), of infection. Thus, in the case of needlestick transfer we determine P(inf) and an approximate time window for post-exposure prophylaxis (PEP). For heterosexual transmission, where the transfer process is more complicated, a parameter gamma is employed which measures the strength of the infection process. For the smaller value of gamma, P(inf) is from 6 x 10(-5) to 0.93 or from 7.82 x 10(-6) to 0.29, where the lower figures are for the transfer of 100 virions and the upper figures are for the transfer of 4.4 million virions. We estimate the reductions in P(inf) which occur with a microbicide of a given efficacy. It is found that reductions may be approximately as stated when the number of virions transferred is less than about 10(5), but declines to zero for viral loads above that number. It is concluded that PEP should always be applied immediately after a needlestick incident. Further, manufacturers of microbicides should be encouraged to investigate and report their effectiveness at various transferred viral burdens.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Anti-Infective Agents / therapeutic use*
  • Disease Transmission, Infectious / prevention & control
  • Female
  • HIV Infections / prevention & control*
  • HIV Infections / transmission*
  • HIV Infections / virology
  • Heterosexuality
  • Humans
  • Male
  • Models, Biological*
  • Models, Statistical
  • Needlestick Injuries / drug therapy
  • Needlestick Injuries / virology
  • Probability
  • Stochastic Processes

Substances

  • Anti-Infective Agents