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The relationship between intimate partner violence and HIV: A model-based evaluation

Overview of attention for article published in Infectious Disease Modelling, February 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)

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Title
The relationship between intimate partner violence and HIV: A model-based evaluation
Published in
Infectious Disease Modelling, February 2017
DOI 10.1016/j.idm.2017.02.002
Pubmed ID
Authors

Simon W. Rigby, Leigh F. Johnson

Abstract

Many studies have shown that women who have experienced intimate partner violence (IPV) are at a greater risk of HIV, but the factors accounting for this association are unclear, and trials of interventions to reduce IPV have not consistently reduced HIV incidence. This study uses an agent-based model, calibrated to South African data sources, to evaluate hypotheses about likely causal pathways linking IPV, HIV, and other confounding factors. Assumptions about associations between IPV and HIV risk behaviours were based on reviews of international literature. There is an association between past IPV experience and HIV incidence even when no causal effects are assumed (IRR 1.28, 95% CI 1.23-1.34), because women with a propensity for multiple partners are more likely to have ever been in a relationship with a violent partner. If, in addition, men with a propensity for concurrent relationships are more likely to perpetrate IPV, the IRR increases to 1.42 (95% CI 1.36-1.48), consistent with empirical IRR estimates. Alternative scenarios in which experience of IPV is assumed to cause changes in women's sexual behaviour have little effect on the IRR. An intervention that reduces IPV by 50% could be expected to reduce HIV incidence by at most 1.3%. Much of the observed association between IPV and HIV is likely to be due to confounding behavioural factors. Although interventions to reduce IPV are important, these interventions alone are unlikely to have a substantial impact on HIV incidence.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 16%
Student > Bachelor 18 15%
Researcher 17 14%
Student > Ph. D. Student 14 11%
Student > Doctoral Student 6 5%
Other 17 14%
Unknown 31 25%
Readers by discipline Count As %
Nursing and Health Professions 22 18%
Medicine and Dentistry 19 15%
Social Sciences 15 12%
Psychology 10 8%
Mathematics 7 6%
Other 15 12%
Unknown 35 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 September 2017.
All research outputs
#7,716,445
of 25,382,440 outputs
Outputs from Infectious Disease Modelling
#69
of 282 outputs
Outputs of similar age
#114,095
of 319,461 outputs
Outputs of similar age from Infectious Disease Modelling
#5
of 7 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 282 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one has done well, scoring higher than 75% of its peers.
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 319,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.