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The social and genetic epidemiology of Hepatitis C in an isolated network of people who inject drugs

The social and genetic epidemiology of Hepatitis C in an isolated network of people who inject drugs
The social and genetic epidemiology of Hepatitis C in an isolated network of people who inject drugs
Background and Aims

Hepatitis C (HCV) causes liver cirrhosis, liver cancer and is a leading cause of death worldwide. In the UK the commonest risk factor for HCV is current or previous injecting drug use but many cases are undiagnosed and many known cases are disengaged from treatment services. The Isle of Wight (IOW) is a deprived, rural and geographically isolated population but suffers from the same obstacles to HCV care as larger nearby mainland populations.
The overall aim of this thesis is to understand the burden of HCV in people who inject drugs (PWID) on the IOW and how their social network could be utilised in an HCV elimination strategy.

Method

A sequential mixed method research design was used. Qualitative methods informed the design of a quantitative survey, which recruited PWID via respondent driven sampling (RDS) for a social network questionnaire and HCV bio-behavioural survey. This was used to estimate the population prevalence of HCV and the total population size of PWID on the IOW. Data from the social network survey were combined with a phylogenetic analysis of HCV RNA positive cases and qualitative narratives to give a representation of the HCV transmission network in PWID. This network was then used in an individualbased model (IBM) testing different treatment strategies.

Results

Sixty-nine PWID participated in the HCV bio-behavioural and social network surveys. The estimated prevalence of HCV was 29% (95% CI 13.3-44%) and the estimated total population size was 262 individuals.
The social network survey described 179 PWID, connected together into a cohesive network component via injecting partnerships. Phylogenetic analysis indicated that a number of these partnerships had led to the transmission of HCV and that genotype 3a virus had been transmitted between PWID living on the IOW. 
In the IBM the preferential treatment of well-connected PWID, via injecting and social relationships, led to significantly fewer new infections of HCV than treating at random (9.56 vs. 6.58 P<0.01 and 9.56 vs. 7.84 p=0.011 respectively).

Conclusion

The burden of HCV in PWID on the IOW is lower than expected and existing case-finding initiatives are effective. The qualitative and quantitative results indicate that PWID are linked together in a dense network and the treatment of well-connected nodes within this network may be an effective treatment as prevention strategy for the elimination of HCV on the IOW.
University of Southampton
Buchanan, Ryan Malcolm
a092c890-492a-478f-8d13-0453d482a700
Buchanan, Ryan Malcolm
a092c890-492a-478f-8d13-0453d482a700
Khakoo, Salim
6c16d2f5-ae80-4d9b-9100-6bfb34ad0273
Parkes, Julie
59dc6de3-4018-415e-bb99-13552f97e984
Grellier, L.F.
ff7abf84-d9df-448a-916c-ab47b0d1a7cb

Buchanan, Ryan Malcolm (2017) The social and genetic epidemiology of Hepatitis C in an isolated network of people who inject drugs. University of Southampton, Doctoral Thesis, 314pp.

Record type: Thesis (Doctoral)

Abstract

Background and Aims

Hepatitis C (HCV) causes liver cirrhosis, liver cancer and is a leading cause of death worldwide. In the UK the commonest risk factor for HCV is current or previous injecting drug use but many cases are undiagnosed and many known cases are disengaged from treatment services. The Isle of Wight (IOW) is a deprived, rural and geographically isolated population but suffers from the same obstacles to HCV care as larger nearby mainland populations.
The overall aim of this thesis is to understand the burden of HCV in people who inject drugs (PWID) on the IOW and how their social network could be utilised in an HCV elimination strategy.

Method

A sequential mixed method research design was used. Qualitative methods informed the design of a quantitative survey, which recruited PWID via respondent driven sampling (RDS) for a social network questionnaire and HCV bio-behavioural survey. This was used to estimate the population prevalence of HCV and the total population size of PWID on the IOW. Data from the social network survey were combined with a phylogenetic analysis of HCV RNA positive cases and qualitative narratives to give a representation of the HCV transmission network in PWID. This network was then used in an individualbased model (IBM) testing different treatment strategies.

Results

Sixty-nine PWID participated in the HCV bio-behavioural and social network surveys. The estimated prevalence of HCV was 29% (95% CI 13.3-44%) and the estimated total population size was 262 individuals.
The social network survey described 179 PWID, connected together into a cohesive network component via injecting partnerships. Phylogenetic analysis indicated that a number of these partnerships had led to the transmission of HCV and that genotype 3a virus had been transmitted between PWID living on the IOW. 
In the IBM the preferential treatment of well-connected PWID, via injecting and social relationships, led to significantly fewer new infections of HCV than treating at random (9.56 vs. 6.58 P<0.01 and 9.56 vs. 7.84 p=0.011 respectively).

Conclusion

The burden of HCV in PWID on the IOW is lower than expected and existing case-finding initiatives are effective. The qualitative and quantitative results indicate that PWID are linked together in a dense network and the treatment of well-connected nodes within this network may be an effective treatment as prevention strategy for the elimination of HCV on the IOW.

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Published date: December 2017

Identifiers

Local EPrints ID: 417993
URI: http://eprints.soton.ac.uk/id/eprint/417993
PURE UUID: 766b43a8-185a-4c3a-86af-228f1d125a3b
ORCID for Salim Khakoo: ORCID iD orcid.org/0000-0002-4057-9091
ORCID for Julie Parkes: ORCID iD orcid.org/0000-0002-6490-395X

Catalogue record

Date deposited: 20 Feb 2018 17:30
Last modified: 16 Mar 2024 03:25

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Contributors

Author: Ryan Malcolm Buchanan
Thesis advisor: Salim Khakoo ORCID iD
Thesis advisor: Julie Parkes ORCID iD
Thesis advisor: L.F. Grellier

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