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HIV Transmissions by Stage and Sex Role in Long-Term Concurrent Sexual Partnerships

Overview of attention for article published in Acta Biotheoretica, October 2014
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Title
HIV Transmissions by Stage and Sex Role in Long-Term Concurrent Sexual Partnerships
Published in
Acta Biotheoretica, October 2014
DOI 10.1007/s10441-014-9242-8
Pubmed ID
Authors

Jong-Hoon Kim

Abstract

Most mathematical models used to examine the role of different stages of human immunodeficiency virus (HIV) infection unrealistically assume that HIV is transmitted through one-off contacts or that transmission rates are the same between males and females. We sought to examine whether inferences from previous models are robust to the relaxation of those unrealistic assumptions. We developed a model of HIV transmissions through sexual partnerships assuming that (1) sexual partnerships have variable duration, (2) sexual partnerships are concurrent, and (3) the male-to-female transmission rate is higher than the female-to-male transmission rate, with a focus on the third assumption. Assuming a higher rate for male-to-female than female-to-male transmissions decreases the overall transmission of HIV but increases the equilibrium fraction of transmissions during primary HIV infection (PHI) in long-term partnerships, compared to the case where transmission rates are assumed to be symmetric between males an females. Previous modeling studies that assume symmetric transmission rates between males and females may have overestimated the overall spread of HIV, but underestimated the relative contribution of PHI. To make robust inferences on the role of different stages of HIV infection in the sexual spread of HIV, models should take into account that transmission rates may be asymmetric by sex.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 11%
Argentina 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Ph. D. Student 2 22%
Student > Master 1 11%
Professor > Associate Professor 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Medicine and Dentistry 5 56%
Mathematics 2 22%
Psychology 1 11%
Unknown 1 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 November 2014.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from Acta Biotheoretica
#190
of 213 outputs
Outputs of similar age
#233,926
of 274,189 outputs
Outputs of similar age from Acta Biotheoretica
#1
of 1 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 213 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 274,189 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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