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Understanding differences in HIV/HCV prevalence according to differentiated risk behaviors in a sample of PWID in rural Puerto Rico

Overview of attention for article published in Harm Reduction Journal, March 2016
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Title
Understanding differences in HIV/HCV prevalence according to differentiated risk behaviors in a sample of PWID in rural Puerto Rico
Published in
Harm Reduction Journal, March 2016
DOI 10.1186/s12954-016-0099-9
Pubmed ID
Authors

Roberto Abadie, Melissa Welch-Lazoritz, Camila Gelpi-Acosta, Juan Carlos Reyes, Kirk Dombrowski

Abstract

Blood contained in needles and injection equipment has been identified as a vector for HIV and HCV transmission among people who inject drugs (PWID). Yet, there is often a wide discrepancy in prevalence for both viruses. While microbiological differences between viruses influence prevalence, other variables associated with the way drugs are acquired and used, also play a role. Respondent-driven sampling (RDS) methods recruited a sample of 315 current intravenous drug users in rural Puerto Rico. Information about type and frequency of use, HIV and HVC risk behaviors (sharing needles, cookers, cotton, and water), sexual behaviors, and alcohol use was collected. HIV and HCV statuses were assessed via rapid antibody tests. T tests compare means of participants who tested positive (reactive) to those who tested negative. Logistic regression analyses were used to validate the association of the risk factors involved. Tests showed a significant difference in HIV (6 %) and HCV (78.4 %) prevalence among a population of current PWID. The main risk behaviors in HCV transmission are the sharing of injection "works", (e.g., cookers, cotton, and water). Sharing works occurred more than twice as often as the sharing of needles, and HCV+ and HCV- individuals reported the same needle sharing habits. Washing and rinsing injection works with water seems to prevent HIV transmission, but it is unable to prevent HCV infection. While education about the need to clean injection equipment with bleach might be beneficial, equipment sharing-and the subsequent risk of HVC-might be unavoidable in a context where participants are forced to pool resources to acquire and use intravenous drugs.

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X Demographics

The data shown below were collected from the profiles of 3 X users 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 15 18%
Student > Master 13 15%
Researcher 9 11%
Student > Doctoral Student 8 10%
Student > Postgraduate 4 5%
Other 13 15%
Unknown 22 26%
Readers by discipline Count As %
Unspecified 15 18%
Medicine and Dentistry 14 17%
Nursing and Health Professions 12 14%
Social Sciences 6 7%
Agricultural and Biological Sciences 2 2%
Other 11 13%
Unknown 24 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 March 2016.
All research outputs
#13,461,321
of 22,854,458 outputs
Outputs from Harm Reduction Journal
#744
of 922 outputs
Outputs of similar age
#144,421
of 299,380 outputs
Outputs of similar age from Harm Reduction Journal
#6
of 12 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 922 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one is in the 17th percentile – i.e., 17% 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 299,380 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 50% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.