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The probability of HIV infection in a new host and its reduction with microbicides
- Source :
- Mathematical Biosciences. 214:81-86
- Publication Year :
- 2008
- Publisher :
- Elsevier BV, 2008.
-
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.
- Subjects :
- Male
Statistics and Probability
Human immunodeficiency virus (HIV)
HIV Infections
Biology
medicine.disease_cause
Models, Biological
General Biochemistry, Genetics and Molecular Biology
Reduction (complexity)
Anti-Infective Agents
Time windows
Microbicide
Disease Transmission, Infectious
medicine
Humans
Heterosexuality
Needlestick Injuries
Probability
Stochastic Processes
Models, Statistical
General Immunology and Microbiology
Applied Mathematics
General Medicine
Virology
Heterosexual transmission
Microbicides for sexually transmitted diseases
Modeling and Simulation
Immunology
Female
General Agricultural and Biological Sciences
Disease transmission
Viral load
Algorithms
Subjects
Details
- ISSN :
- 00255564
- Volume :
- 214
- Database :
- OpenAIRE
- Journal :
- Mathematical Biosciences
- Accession number :
- edsair.doi.dedup.....fc228011b729de404ace15b8424e3842
- Full Text :
- https://doi.org/10.1016/j.mbs.2008.03.005