Notions of Injecting Drug Users' Candidacy for Hepatitis C Treatment: Conflicting Provider, Patient, and Public Health Perspectives

2010 ◽  
Vol 37 (4) ◽  
pp. 549-573 ◽  
Author(s):  
Heidi Coupland ◽  
Lisa Maher
Keyword(s):  
Public Health ◽  
Hepatitis C ◽  
Drug Users ◽  
Injecting Drug Users ◽  
Hepatitis C Treatment

Promoting equitable access to hepatitis C treatment for Indo-Chinese injecting drug users

2009 ◽  
Vol 20 (3) ◽  
pp. 234-240 ◽  
Author(s):  
Heidi Coupland ◽  
Carolyn Day ◽  
Miriam T. Levy ◽  
Lisa Maher
Keyword(s):  
Hepatitis C ◽  
Drug Users ◽  
Injecting Drug Users ◽  
Equitable Access ◽  
Hepatitis C Treatment

Mathematical modelling of hepatitis C treatment for injecting drug users

2011 ◽  
Vol 274 (1) ◽  
pp. 58-66 ◽  
Author(s):  
Natasha K. Martin ◽  
Peter Vickerman ◽  
Matthew Hickman
Keyword(s):  
Hepatitis C ◽  
Mathematical Modelling ◽  
Drug Users ◽  
Injecting Drug Users ◽  
Hepatitis C Treatment

scholarly journals USE OF CROSS-SECTIONAL DATA TO ESTIMATE FORCE OF INFECTIONFOR HIV INFECTION AND HEPATITIS C - ABSENCE OF CONSTANT RISK

2015 ◽  
Vol 7 (1) ◽  
pp. 78-87 ◽  
Author(s):  
A N Barinova ◽  
S L Plavinski ◽  
N H Vingradova
Keyword(s):  
Public Health ◽  
Hepatitis C ◽  
High Risk ◽  
Hiv Infection ◽  
Drug Users ◽  
Injecting Drug Users ◽  
Reproductive Rate ◽  
Risk Of Infection ◽  
Cross Sectional ◽  
Force Of Infection

Injecting drug users (IDU) have high risk of acquisition of HIV and other blood-borne viruses, because they frequently share needles, syringes and other injecting paraphernalia. The article describes methodology of estimating force of infection for blood-borne diseases from data on prevalence and injection length. Based on results from 5429 IDU surveyed between 2006 and 2013 it was found that force of infection is at maximum during first months after starting injecting - 0,38 (95%CI=0,24 .. 0,51) for HIV infection and 1,03 (95%CI=0,61 .. 1,46) for hepatitis C. After that risk of infection significantly decrease but is not zero. Also basic reproductive rate by regions and periods of study was estimates. Importance of this approach for public health is demonstrated.

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