1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgment
  7. References
  8. Supporting Information

People detained in prisons and other closed settings are at elevated risk of infection with hepatitis C virus (HCV). We undertook a systematic review and meta-analysis with the aim of determining the rate of incident HCV infection and the prevalence of anti-HCV among detainees in closed settings. We systematically searched databases of peer-reviewed literature and widely distributed a call for unpublished data. We calculated summary estimates of incidence and prevalence among general population detainees and detainees with a history of injection drug use (IDU), and explored heterogeneity through stratification and meta-regression. The summary prevalence estimates were used to estimate the number of anti-HCV positive prisoners globally. HCV incidence among general detainees was 1.4 per 100 person-years (py; 95% confidence interval [CI]: 0.1, 2.7; k = 4), and 16.4 per 100 py (95% CI: 0.8, 32.1; k = 3) among detainees with a history of IDU. The summary prevalence estimate of anti-HCV in general detainees was 26% (95% CI: 23%, 29%; k = 93), and in detainees with a history of IDU, 64% (95% CI: 58%, 70%; k = 51). The regions of highest prevalence were Central Asia (38%; 95% CI 32%, 43%; k = 1) and Australasia (35%; 95% CI: 28%, 43%; k = 9). We estimate that 2.2 million (range: 1.4-2.9 million) detainees globally are anti-HCV positive, with the largest populations in North America (668,500; range: 553,500-784,000) and East and Southeast Asia (638,000; range: 332,000-970,000). Conclusion: HCV is a significant concern in detained populations, with one in four detainees anti-HCV-positive. Epidemiological data on the extent of HCV infection in detained populations is lacking in many countries. Greater attention towards prevention, diagnosis, and treatment of HCV infection among detained populations is urgently required. (Hepatology 2013;58:1215–1224)


hepatitis C virus


human immunodeficiency virus


injection drug use


Preferred Reporting Items for Systematic Reviews and Meta-analyses



An estimated 2%-3% of people are infected with the hepatitis C virus (HCV) globally.[1, 2] The primary routes of transmission are injection drug use (IDU) and, in developing countries, medical procedures using nonsterile syringes and needles.[3] Perhaps two-thirds of the approximately 16 million people who inject drugs are HCV antibody (anti-HCV)-positive.[4, 5]

Prisons and other closed settings (i.e., prisons, jails, juvenile detention facilities, pretrial detention centers, and extrajudicial detention centers for people who use drugs6; psychiatric institutions and immigration detention are not included in this definition for our purposes) are of particular importance in understanding the HCV epidemic due to the high prevalence of risk behaviors in the detainee population. A history of IDU is common among detainees[7] and injecting may continue while detained,[8-10] with attendant disease transmission risks. Tattooing in closed settings may also be a risk factor for HCV transmission.[11, 12] Finally, there is increasing evidence of a significant risk of HCV transmission among human immunodeficiency virus (HIV)-infected men who have sex with men[13]; given the often high background prevalence of both infections and the lack of condom access in closed settings, this is potentially a serious concern.

Despite the evidence of risk, there have been limited efforts to examine the global extent of this problem. A clearer understanding of the epidemiology of HCV in closed settings is essential for determining the scale of the problem, providing a basis for public advocacy efforts, and the development of prevention and treatment interventions. This is particularly so in light of recent advances in HCV therapies and the promise of all-oral, interferon-free treatment in the near future.[14, 15] We undertook a systematic review and meta-analysis with the aim of determining the rate of incident HCV infection and the prevalence of anti-HCV among detainees in closed settings.

Materials and Methods

  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgment
  7. References
  8. Supporting Information

This study is reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) checklist.[16] Throughout this article we use the term "detainees" to refer to the population of people detained in closed settings. This term was selected as it is inclusive of people who are incarcerated in prisons and jails, as well as those held in less common and less well-known types of closed settings.

We used multiple search strategies to identify relevant literature. Four databases of peer-reviewed literature (Medline, Embase, Criminal Justice Abstracts, and the National Criminal Justice Reference Service) were searched in July 2012. Search strings were developed in consultation with a librarian at the National Drug and Alcohol Research Centre, University of New South Wales. Search strings for Medline and Embase were adapted from Nelson et al.[5] (see Supporting Materials for additional details). Additionally, reference lists of prior reviews on this topic[17-19] were examined and the literature database of the HCV Synthesis Project[20] was searched for citations potentially relevant to closed settings.

Gray literature, defined as publications and communications that are not formally published by commercial publishers or peer-reviewed journals, was identified through searches of websites of relevant organizations (e.g., European Monitoring Centre for Drugs and Drug Addiction), regional literature databases (e.g., Latin American and Caribbean Health Sciences), online conference archives (e.g., International AIDS Society conferences), and country-specific government departments.[21]

Finally, an email was sent to relevant contacts of all authors, requesting data that may not have been identified in our search. The email was redistributed by the initial recipients as they saw appropriate. Data collection ceased in September 2012.

Study Selection

Initial literature search results were cataloged using Endnote X5. Titles and abstracts were screened by S.L., H.K., and a research intern to produce a shortlist of potentially relevant sources. Sources that were clearly outside the remit of the review (e.g., editorial in nature; did not contain primary data) were excluded. Full-text versions of shortlisted sources were retrieved and read in full to determine eligibility for inclusion in the review. For sources in languages other than English, determination of eligibility was based on information available in published English translations of abstracts.

Sources were eligible for inclusion if they: reported data from a closed setting (defined as a prison, jail, juvenile detention facility, pretrial detention center, or extrajudicial detention center for people who use drugs[6, 22]); conducted serological or saliva testing for anti-HCV; and presented an estimate of anti-HCV prevalence or HCV incidence (defined as HCV antibody seroconversion) among either general population detainees or detainees with a history of IDU. General population samples were those that included any detainee in a closed setting without selection by history of drug use or offense type. Incidence sources were restricted to those in which seroconversion was known to have occurred while detained; that is, the source sample included only persons who were continuously detained from baseline to follow-up, and measures were taken to exclude the possibility of seroconversion prior to incarceration. There were no restrictions on year or language of publication, or the age of the sampled population.

Sources were ineligible if they: were based on secondary data, self-reported HCV status or notifications of HCV infections (e.g., to infectious diseases databases); reported the results of HCV RNA testing without results of anti-HCV testing; or reported HCV incidence in case studies or cohorts of people who were not continuously detained throughout study follow-up. Sources with sample sizes of less than 40 or with no information regarding sample size were also ineligible.[5] Several repeated surveys (i.e., resampling of the same closed settings using the same sampling strategy over time) were identified during the literature search. In these cases, only the most recent data were included in meta-analyses. The list of included sources was circulated to the authors in September 2012 for final approval.

Data Extraction

Data from all sources were extracted by S.L. and checked for accuracy by H.K., with discrepancies resolved through discussion and referral to L.D. as necessary. For each source, sample characteristics were extracted, including “types” of detainees sampled (e.g., general population, detainees with a history of IDU), age (adult or juvenile sample, median and/or mean age), and sex.

Data were extracted for all detainee “types” within each sample; for example, a source presenting data on a general population sample with a subsample of detainees with a history of IDU would have data extracted for both the general population sample and the subsample. For mixed-sex samples, data were extracted for the total sample and also disaggregated by sex, if possible. If disaggregation by detainee type or sex resulted in a sample size of less than 40, that subsample was excluded.

For sources reporting incidence data, the sample size, number of incident HCV cases, person-years of observation, and incidence rate were extracted. For prevalence sources, the sample size, number of anti-HCV positive participants, and prevalence were extracted. Some sources did not report all incidence or prevalence variables; in these cases, missing variables were calculated from other reported values (i.e., numerator calculated from reported denominator and prevalence). Study design and sampling variables (geographical region; type of closed setting; prospectively or retrospectively defined cohort; random or convenience sampling; restriction of recruitment to serving inmates or new entrants; year/s of data collection; percentage of sample male and percentage injecting) were extracted in order to explore heterogeneity in reported HCV incidence and prevalence. Geographical regions were defined consistent with other recent global epidemiological reviews.[4, 5]

Data Analysis

Data analyses were conducted in Stata v. 12 (StataCorp, College Station, TX) using the metan[23] and metareg[24] commands. Given the expected heterogeneity between studies, all meta-analyses were performed using random effects models, which account for interstudy variation. Meta-analyses of HCV incidence were undertaken for sources reporting on general population detainees and detainees with a history of IDU. Heterogeneity was assessed using the I2 statistic, which describes the percentage of variation between studies that is due to heterogeneity rather than chance.[25] Interpretation of I2 was as in Higgins et al.[25] The small number of sources of incidence data prevented further stratification or meta-regression.

Meta-analyses of anti-HCV prevalence were conducted for general population detainees and detainees with a history of IDU, stratified by geographical region. Heterogeneity was assessed using the I2 statistic, as above, and also explored through meta-regression. Variables used in meta-regressions were cohort ascertainment (prospective versus retrospective); sampling (random versus convenience); detainee status at the time of recruitment (current detainees or current detainees and new entrants versus new entrants only); type of HCV antibody test undertaken (blood/sera versus saliva); mean or median age of the sample; percentage of the sample that was male; percentage of the sample with a history of IDU; and year of completion of data collection. For sources where this latter variable was not reported, it was assumed that data collection ceased 2 years prior to year of publication.[26] Sex-specific summary prevalence estimates were calculated using sources that reported on male- or female-only samples. We had planned to determine summary prevalence estimates for detainees of extrajudicial detention centers for people who use drugs; however, there were very few relevant data sources. Results for these sources are instead presented descriptively.

A meta-analysis was undertaken to determine the summary anti-HCV prevalence estimate in juvenile detainees, with heterogeneity examined by way of meta-regression using the same independent variables as for adult samples. There were few data sources reporting on juvenile detainees with a history of IDU; results from these sources are presented descriptively.

To estimate the number of anti-HCV positive detainees globally, we obtained data on regional prisoner populations from the World Prison Brief of the International Centre for Prison Studies ( The World Prison Brief does not include detainees of extrajudicial detention centers for people who use drugs; thus, this estimate relates only to the prisoner population. We applied our regional prevalence estimates for general population detainees (who, by definition, are not detainees of extrajudicial detention centers) to the number of prisoners in each region. For regions without prevalence data, the global general population prevalence estimate was applied to the number of prisoners in the region.


  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgment
  7. References
  8. Supporting Information

Searches of the peer-reviewed literature returned 2,314 data sources potentially relevant to the review. A further 37 data sources were identified from the gray literature or by way of emails from key experts. Following removal of duplicates, there were 2,008 data sources; of these, 1,784 were excluded on the basis of the abstract, leaving 224 sources that were assessed in full. Ninety-three sources were excluded, for reasons shown in Fig. 1, leaving 128 eligible sources: five reported on HCV incidence in continuously detained persons, and 126 reported on anti-HCV prevalence among detainees of prisons and other closed settings (i.e., three sources reported on both incidence and prevalence) (Fig. 1). Sources reported data for 39 countries (see Supporting Materials); 21 sources were in languages other than English. Fifteen of the included sources were obtained from the gray literature; they included reports of government agencies, conference abstracts, academic reports, and personal communications. Half the sources were published from 2004 onwards (see Supporting Materials). Details of studies included in each meta-analysis described below are available in the Supporting Materials.


Figure 1. Selection of studies for inclusion in systematic review of hepatitis C virus prevalence and incidence in prisons and other closed settings.

Download figure to PowerPoint

HCV Incidence

Four sources provided data on HCV incidence in general detainee samples, and three provided data from samples of inmates who inject drugs. Incidence among general detainees ranged from 0.04 per 100 person-years (py) to 4.5 per 100 py. The summary incidence estimate was 1.4 per 100 py (95% confidence interval [CI]: 0.1, 2.7), with moderate heterogeneity (I2 = 62%, 95% CI: 0%, 87%) (Fig. 2). Incidence among detainees with a history of IDU ranged from 5.5 per 100 py to 34.2 per 100 py. The summary incidence estimate was 16.4 per 100 py (95% CI: 0.8, 32.1), with moderate heterogeneity (I2 = 67%, 95% CI: 0%, 90%) (Fig. 2).


Figure 2. Hepatitis C virus antibody incidence in general population detainees and detainees with a history of injecting drug use. ES, effect size.

Download figure to PowerPoint

HCV Antibody Prevalence

There were 93 sources of data for anti-HCV prevalence among general detainee samples. The summary anti-HCV prevalence estimate among general population detainees was 26% (95% CI: 23%, 29%), with high heterogeneity (I2 = 100%, 95% CI: 100%, 100%) (Fig. 3). A subanalysis by geographical region revealed wide variations in prevalence. The lowest estimated regional prevalence was 3% (95% CI: 2%, 5%) in the Middle East and North Africa; however, this was based on only one source.[27] The highest estimated regional prevalence was 38% (95% CI: 32%, 43%) in Central Asia; again, this was based on only one source (pers. commun., S. Karymbaeva, September 15 2012). The most important source of heterogeneity was the proportion of the sample with a history of IDU (meta-regression coefficient = 0.005, P < 0.0001, adjusted R2 = 49.23%) (Table 1); year of data collection was also a significant source of heterogeneity, with more recent sources having lower anti-HCV prevalence (meta-regression coefficient = −0.009, P = 0.001, adjusted R2 = 12.57%). Prevalence was also lower in sources with data derived from random samples compared to convenience samples (18% versus 28%, meta-regression coefficient 0.096, P = 0.042, adjusted R2 = 3.92%).

Table 1. Meta-regression for HCV Antibody Prevalence in Adult General Population Detainees and Adult Detainees With a History of Injection Drug Use
 General Population DetaineesDetainees with a History of IDU
 N SourcesAnti-HCV Prevalence % (95% CI)Meta-regression CoefficientAdj. R2PN SourcesAnti-HCV Prevalence % (95% CI)Meta-regression CoefficientAdj. R2P
  1. N studies varies due to variable reporting in data sources. HCV, hepatitis C virus. IDU, injection drug use.

  2. a

    Meta-regressions conducted using year of data collection completion as a continuous variable. Year categories based on five-year increments except for 2005-2012. Year category prevalence estimates and confidence intervals determined via stratified meta-analysis.

Retrospective cohort1131 (22, 40)   367 (43, 91)   
Prospective cohort7925 (22, 28)−0.0550.31%0.2674665 (59, 72)−0.016−2.16%0.900
Random sample1118 (10, 26)   467 (44, 90)   
Convenience sample7028 (24, 31)0.0963.92%0.0424367 (61, 73)−0.003−2.25%0.977
Blood/sera6924 (21, 27)0.035−0.80%0.5053765 (58, 72)0.074−1.05%0.457
Saliva820 (14, 26)   558 (38, 78)   
Current only or mixed current/entrant3524 (19, 29)   1463 (50, 76)   
New entrants only2330 (25, 34)0.0471.03%0.2061676 (69, 82)0.1268.12%0.073
Mean/median age460.003−1.97%0.70780.00003−17.01%0.999
Percentage male79−0.00081.61%0.139260.001−1.04%0.413
Percentage with history of IDU500.00549.23%<.0001
Year of data collection completiona          
Pre-19951638 (32, 45)   777 (65, 88)   
1995-19992325 (19, 31)   1368 (54, 82)   
2000-20042127 (22, 32)   1565 (55, 75)   
2005-20123320 (17, 23)−0.00912.57%<.00011655 (44, 66)−0.13912.67%0.007

Figure 3. HCV antibody prevalence estimates for adult general population detainees, by region and in total. Based on 93 sources. No sources were identified for the Pacific Islands or the Caribbean. Details of included sources available in Supporting Materials. ES, effect size.

Download figure to PowerPoint

Among general detainee data sources, 62 contributed data for male-only samples, with a summary prevalence estimate of 24% (95% CI: 21%, 27%; I2 = 99%,95% CI: 99%, 99%). There were 37 female-only samples, and estimated summary prevalence was 32% (95% CI: 26%, 38%; I2 = 98%, 95% CI: 98%, 99%).

Fifty-one sources contributed data on anti-HCV prevalence among detainees with a history of IDU. History of IDU was determined through self-report in 49 sources, and physician examination in two sources. The estimated summary anti-HCV prevalence was 64% (95% CI: 58%, 70%), with high heterogeneity I2 = 99%, 95% CI: 99%, 99%) (Fig. 4). Regional prevalence estimates ranged from 23% (95% CI: 16%, 31%) in Latin America to 73% (95% CI: 64%, 81%) in Western Europe. Prevalence was lower in more recent sources (meta-regression coefficient = −0.139, P = 0.007, R2 = 12.67%) (Table 1). The summary prevalence estimate in men with history of IDU (26 sources) was 67% (95% CI: 58%, 75%; I2 = 99%,95% CI: 99%, 99%); among women with a history of IDU (seven sources), it was 64% (95% CI: 52%, 77%; I2 = 94%, 95% CI: 90%, 96%).


Figure 4. Pooled HCV antibody prevalence estimates for adult detainees with a history of IDU, by region and in total. Based on 51 sources. No sources were identified for countries of Central Asia, the Middle East and North Africa, the Pacific Islands, or the Caribbean. Details of included sources available in Supporting Materials. ES, effect size.

Download figure to PowerPoint

Only two eligible data sources reported anti-HCV prevalence in extrajudicial detention centers for people who use drugs. In Chu et al.,[28] anti-HCV prevalence among 753 male detainees of a Taiwanese center was 31% (95% CI: 27%, 34%); among detainees with a history of IDU (n = 192), it was 90% (95% CI: 84%, 94%). In an Iranian center for male IDUs, anti-HCV prevalence was 80% (363/454; 95% CI: 76%, 84%).[29]

Among juvenile detainee samples (n = 18), estimated summary prevalence was 4% (95% CI: 3%, 6%) with high heterogeneity (I2 = 92%, 95% CI: 88%-94%). The only significant variable in meta-regressions was the proportion with IDU history (meta-regression co-efficient 0.004, P = 0.032, adjusted R2 = 52.3%). Among juvenile detainees with a history of IDU (two sources) prevalence was 66% (45/68; 95% CI: 54%, 77%) in a mixed-sex sample in Bulgaria[30] and 36% (19/53; 95% CI: 24%, 49%) in a male sample from Australia.[31]

Table 2 shows the regional coverage of our data sources and prevalence of anti-HCV among detainees. Extrapolating our findings to the global prisoner population, we estimate that 2.2 million prison detainees are anti-HCV positive (range 1.4 million-2.9 million) (Table 2). The largest populations of anti-HCV positive prisoners are in North America (668,500 persons, range 553,500-784,000) and East and South-East Asia (638,000 persons, range 332,000-970,000).

Table 2. Estimated Global and Regional Prevalence of Hepatitis C Virus Antibodies Among Prison Detainees
 N Included Sources% of General Detainee Populations with HCV Antibody Prevalence DataPooled HCV Antibody Prevalence (95% CI)Prison Detainee PopulationEstimated Number of HCV Antibody Positive Prison Detainees
  1. ‘Prison' includes all institutions for adults charged with, awaiting trial or sentenced for a criminal offense. It does not include compulsory detoxification centers. All figures rounded to the nearest 500 people. Extrapolated global figure totaled from regional estimates prior to rounding. “—“ indicates there were no data on HCV prevalence located in this region. These regions were included in the extrapolated global estimate by applying the total estimated HCV prevalence to the prison detainee population for these regions. Data on detainee populations obtained from the World Prison Brief of the International Centre for Prison Studies (

Sub-Saharan Africa4816 (7, 26)78,50055,000125,500204,000
Western Europe399230 (26, 34)478,500124,500143,500162,500
Eastern Europe61622 (14, 31)1,199,000168,000263,500371,500
Latin America126814 (8, 19)1,161,00093,000162,500220,500
Australasia97835 (28, 43)37,50010,50013,00016,000
North America1410029 (24, 34)2,306,00553,500668,500784,000
South Asia4568 (4, 11)827,00033,00066,00091,000
Middle East and North Africa113 (1, 5)491,5005,00014,50024,500
East and Southeast Asia2825 (13, 38)2,552,000332,000638,000970,000
Central Asia1838 (32, 43)123,50039,50047,00053,000
Pacific Islands08,500
Extrapolated global924526 (23, 29)10,004,0001,423,0002,154,5002,910,000

Additional analyses of anti-HCV prevalence among detainees who have injected drugs or obtained tattoos while detained are provided in the Supporting Materials.


  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgment
  7. References
  8. Supporting Information

HCV infection is an extensive problem among detainees of prisons and other closed settings globally. One in four detainees overall, and two in three detainees with a history of drug injection, are anti-HCV positive. With at least 10 million people detained in prisons or other closed settings at any point in time,[32] this translates to 2.2 million prisoners being anti-HCV positive; several times that number pass through a closed setting each year, making transmission both in and outside of detention a serious concern.

HCV Incidence

We found consistent evidence that incident HCV infection occurs in closed settings, particularly among detainees who inject drugs. Widespread implementation of preventive measures is urgently needed to address HCV transmission in prisons and other closed settings. Multicomponent interventions that combine evidence-based drug dependence treatment and access to sterile needles and syringes are most effective in reducing HCV seroconversion among people who inject drugs.[33, 34] These interventions can be provided safely in closed settings and have the additional benefit of reducing HIV transmission risk,[35, 36] but have rarely been implemented.[37, 38] Although there is value in providing risk reduction education and counseling to detainees, this approach alone is not considered sufficient to prevent HCV transmission.[34]

Anti-HCV Prevalence

In addition to their role in HCV prevention, our findings suggest that closed settings are important sites for the diagnosis and treatment of prevalent infection. Voluntary HCV testing of detainees has the potential to vastly increase the number of people who are aware of their infection, enabling them to take steps to address their personal risks for disease progression (e.g., alcohol use) and to prevent onward transmission, both in closed settings and following their return to the community. HCV testing is warranted at entry to a closed setting, and persons who are anti-HCV-negative should be offered testing periodically or if clinically indicated in order to identify incident infection. Detainees screening positive for anti-HCV should be offered vaccination against hepatitis A and B, and information regarding risks for disease progression and onward transmission. If identified, acute HCV infection should be treated, as sustained virological response rates are higher than observed in the treatment of chronic infection.[39]

Treatment for chronic HCV infection can be provided in closed settings with sustained virological response rates comparable to those in community settings.[40, 41] Providing treatment in closed settings would not only aid detainees but also generate substantial public health benefits, including reducing the pool of infection (thereby reducing the likelihood of exposure among people engaging in risk behaviors) and reducing the burden of disease associated with chronic HCV infection. There are, however, substantial barriers to widespread implementation of treatment. HCV treatment remains costly and places significant financial burdens on the healthcare budgets of closed settings. Additionally, aspects of life in detention such as high detainee turnover, unpredictable access to healthcare workers, lockdowns, and inadequate nutrition may interfere with demanding treatment regimens that require medication to be taken at regular intervals and careful monitoring of side effects. Meeting these challenges will be crucial as we enter a new era of HCV therapy,[14] as widespread treatment in closed settings has the potential to dramatically reduce the burden of HCV-related disease and should be a public health priority.

Extrajudicial Detention Centers for People Who Use Drugs

Only two sources presented data on anti-HCV prevalence among detainees of extrajudicial detention centers for people who use drugs. In these two studies, prevalence was 80% and 90%, higher than the overall summary estimate of anti-HCV prevalence among detainees with a history of IDU. There are few data enumerating the total population of these detention centers, which exist in China, Lao PDR, Vietnam, Iran, Taiwan, and Thailand, among others.[4, 22] In China alone, perhaps 300,000 people who use drugs are detained in these centers annually; in Vietnam, in excess of 60,000 people are detained at any one time.[4] It is a matter of great concern that there were so few data sources relating to detainees of extrajudicial detention centers for people who use drugs, and that the two available data sources indicated extremely high anti-HCV prevalence. This finding supports the United Nations call for the closure of extrajudicial detention centers for people who use drugs and, pending closure, dramatic improvements in the health services provided to detainees.[42]


A limitation of this study is variation in the manner in which HCV incidence and prevalence data were collected and reported in primary sources. The majority of included sources employed convenience sampling, and so sampled detainees may not have been representative of the broader detainee population. Reinforcing this point, sources reporting data from random samples of general population detainees had significantly lower anti-HCV prevalence than sources with convenience samples.

We used all identified data sources to estimate the summary prevalence of anti-HCV; however, older studies reported higher anti-HCV prevalence than more recent studies. As a result, our summary prevalence estimates may overestimate the true anti-HCV burden. In evaluating our estimates, it is also important to note that very few data sources were located for some regions known to have high prevalence of anti-HCV among people who inject drugs, such as East and Southeast Asia.[5] Despite a broad-based search strategy, no data were located for several countries with large incarcerated populations, including Russia, which has the world's second largest prisoner population, and China, which, as noted above, operates a large network of extrajudicial detention centers for people who use drugs in addition to correctional facilities operating under the criminal justice system. No data could be located for countries of the Caribbean and the Pacific Islands. Even in well-represented regions, such as Western Europe and North America, data frequently related to single institutions or institutions within a defined geographical area. Systematic data collection at the country or jurisdictional level is urgently required to allow for accurate appraisal of the scale of this issue, and to inform policy and clinical responses.


The burden of HCV in detained populations, particularly in areas where IDU is highly prevalent among detainees, is a major public health concern. Despite this, epidemiologic data on the extent of HCV infection in detained populations is lacking in many countries. The global response to HCV in closed settings has been limited, with few countries implementing the necessary preventive interventions or providing treatment for HCV-infected detainees. Greater attention towards HCV prevention, diagnosis, and effective delivery of treatment to detained populations is urgently required.


  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgment
  7. References
  8. Supporting Information

We thank the following individuals and organizations for assistance in completing this review: Mary Kumvaj, National Drug and Alcohol Research Centre, University of New South Wales, for assistance with developing search strings and locating literature; Paul Nelson, National Drug and Alcohol Research Centre, University of New South Wales, for methodological advice; Christine Reavis, student intern, for assisting with the literature search; and Annette Verster, HIV/AIDS Department, World Health Organization, for funding support and assisting with identification of gray literature. We thank the following for providing data used in this study: Frederick Altice, Bradley Brockmann, Silviu Ciobanu, Svetlana Doltu, Joumana Hermez, Saliya Karymbaeva, and Ruth Zimmerman.


  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgment
  7. References
  8. Supporting Information
  • 1
    Hanafiah KM, Groeger J, Flaxman AD, Wiersman ST. Global epidemiology of hepatitis C virus infection: new estimates of age-specific antibody to hepatitis C virus seroprevalence. Hepatology 2013;57:1333-1342.
  • 2
    Hutin Y, Kitler ME, Dore GJ, Perz JF, Armstrong GL, Dusheiko G, et al. Global burden of disease (GBD) for hepatitis C. J Clin Pharmacol 2004;44:20-29.
  • 3
    Lavanchy D. The global burden of hepatitis C. Liver Int 2009;29(Suppl 1):74-81.
  • 4
    Mathers B, Degenhardt L, Phillips B, Wiessing L, Hickman M, Strathdee SA, et al. Global epidemiology of injecting drug use and HIV among people who inject drugs: a systematic review. Lancet 2008;372:1733-1745.
  • 5
    Nelson PK, Mathers BM, Cowie B, Hagan H, Des Jarlais D, Horyniak D, et al. Global epidemiology of hepatitis B and hepatitis C in people who inject drugs: results of systematic reviews. Lancet 2011;378:571-583.
  • 6
    United Nations Office on Drugs and Crime. HIV prevention, treatment and care in prisons and other closed settings: a comprehensive package of interventions. United Nations Office on Drugs and Crime; 2012.
  • 7
    Dolan K, Kite B, Black E, Aceijas C, Stimson GV. HIV in prison in low-income and middle-income countries. Lancet Infect Dis 2007;7:32-41.
  • 8
    Hayashi K, Milloy MJ, Fairbairn N, Kaplan K, Suwannawong P, Lai C, et al. Incarceration experiences among a community-recruited sample of injection drug users in Bangkok, Thailand. BMC Public Health 2009;9.
  • 9
    Kinner SA, Jenkinson R, Gouillou M, Milloy MJ. High-risk drug-use practices among a large sample of Australian prisoners. Drug Alcohol Depend 2012;126:156-160.
  • 10
    Pollini RA, Alvelais J, Gallardo M, Vera A, Lozada R, Magis-Rodriquez C, et al. The harm inside: injection during incarceration among male injection drug users in Tijuana, Mexico. Drug Alcohol Depend 2009;103:52-58.
  • 11
    Post JJ, Dolan K, Whybin LR, Carter IW, Haber P, Lloyd A. Acute hepatitis C virus infection in an Australian prison inmate: tattooing as a possible transmission route. Med J Aust 2001;174:183-184.
  • 12
    Tsang TH, Horowitz E, Vugia DC. Transmission of hepatitis C through tattooing in a United States prison. Am J Gastroenterol 2001;96:1304-1305.
    Direct Link:
  • 13
    Taylor LE, Swan T, Mayer KH. HIV coinfection with hepatitis C virus: evolving epidemiology and treatment paradigms. Clin Infect Dis 2012;55(Suppl 1):S33-S42.
  • 14
    Ghany MG, Nelson DR, Strader DB, Thomas DL, Seeff LB. An update on treatment of genotype 1 chronic hepatitis C virus infection: 2011 practice guideline by the American Association for the Study of Liver Diseases. Hepatology 2012;54:1433-1444.
  • 15
    Gane E. Future perspectives: towards interferon-free regimens for HCV. Antiviral Ther 2012;17:1201-1210.
  • 16
    Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred Reporting Items for Systematic Reviews and Meta-analyses: the PRISMA Statement. PLoS Med 2009;6:e1000097.
  • 17
    Gough E, Kempf MC, Graham L, Manzanero M, Hook EW, Bartolucci A, HIV and hepatitis B and C incidence rates in US correctional populations and high risk groups: a systematic review and meta-analysis. BMC Public Health 2010;10:art. no. 777.
  • 18
    Macalino GE, Hou JC, Kumar MS, Taylor LE, Sumantera IG, Rich JD. Hepatitis C infection and incarcerated populations. Int J Drug Policy 2004;15:103-114.
  • 19
    Vescio MF, Longo B, Babudieri S, Starnini G, Carbonara S, Rezza G, et al. Correlates of hepatitis C virus seropositivity in prison inmates: a meta-analysis. J Epidemiol Commun Health 2008;62:305-313.
  • 20
    Stern RK, Hagan H, Lelutiu-Weinberger C, Des Jarlais D, Scheinmann R, Strauss S, et al. The HCV Synthesis Project: scope, methodology and preliminary results. BMC Med Res Methodol 2008;8:62.
  • 21
    Ali H, Calabria B, Phillips B, Singleton J, Sigmundsdottir L, Congreve E, et al. Searching the grey literature to access information on drugs, alcohol and HIV/AIDS research: an update. Sydney: National Drug and Alcohol Research Centre; 2010.
  • 22
    WHO. Assessment of compulsory treatment of people who use drugs in Cambodia, China, Malaysia and Vietnam: an application of selected human rights principles. Manila: World Health Organization Western Pacific Regional Office; 2009.
  • 23
    Harris RJ, Bradburn MJ, Deeks JJ, Harbord RM, Altman DG, Sterne JAC. metan: fixed- and random-effects meta-analysis. Stata J 2008;8:3-28.
  • 24
    Harbord RM, Higgins JPT. Meta-regression in Stata. Stata J 2008;8:493-519.
  • 25
    Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. Br Med J 2003;327:557-560.
  • 26
    Hagan H, Pouget ER, Des Jarlais D, Lelutiu-Weinberger C. Meta-regression of hepatitis C virus infection in relation to time since onset of illicit drug injection: the influence of time and place. Am J Epidemiol 2008;168:1099-1109.
  • 27
    Mahfoud Z, Kassak K, Kreidieh K, Shamra S, Ramia S. Prevalence of antibodies to human immunodeficiency virus (HIV), hepatitis B and hepatitis C and risk factors in prisoners in Lebanon. J Infect Dev Countries 2010;4:144-149.
  • 28
    Chu F-Y, Chiang S-C, Su F-H, Chang Y-Y, Cheng S-H. Prevalence of human immunodeficiency virus and its association with hepatitis B, C, and D virus infections among incarcerated male substance abusers in Taiwan. J Med Virol 2009;81:973-978.
  • 29
    Kheirandish P, Seyedalinaghi S, Jahani M, Shirzad H, Seyed Ahmadian M, Majidi A, et al. Prevalence and correlates of hepatitis C infection among male injection drug users in detention, Tehran, Iran. J Urban Health 2009;86:902-908.
  • 30
    Popov GT, Plochev KS, Chervenyakova TP. Prevalence of hepatitis C virus infection among juvenile prisoners. J Hepatol 2012;56:S546.
  • 31
    Ogilvie EL, Veit F, Crofts N, Thompson SC. Hepatitis infection among adolescents resident in Melbourne Juvenile Justice Centre: risk factors and challenges. J Adolesc Health 1999;25:46-51.
  • 32
    Walmsley R. World prison population list, 9th ed. 2011., accessed November 2012.
  • 33
    Hagan H, Pouget ER, Des Jarlais DC. A systematic review and meta-analysis of interventions to prevent hepatitis C virus infection in people who inject drugs. J Infect Dis 2011;20:474-483.
  • 34
    WHO. Guidance on prevention of viral hepatitis B and C among people who inject drugs. Geneva: World Health Organization; 2012.
  • 35
    Jurgens R, Ball A, Verster A. Interventions to reduce HIV transmission related to injecting drug use in prison. Lancet Infect Dis 2009;9:57-66.
  • 36
    Larney S, Toson B, Burns L, Dolan K. Effect of prison-based opioid substitution treatment and post-release retention in treatment on risk of re-incarceration. Addiction 2012;107:372-380.
  • 37
    WHO. Interventions to address HIV in prisons: needle and syringe programmes and decontamination strategies. Geneva: World Health Organization; 2007.
  • 38
    Larney S, Dolan K. A literature review of international implementation of opioid substitution treatment in prisons: equivalence of care? Eur Addict Res 2009;15:107-112.
  • 39
    Boesecke C, Wedemeyer H, Rockstroh JK. Diagnosis and treatment of acute hepatitis C virus infection. Infect Dis Clin N Am 2012;26.
  • 40
    Allen SA, Spaulding AC, Osei AM, Taylor LE, Cabral AM, Rich JD. Treatment of chronic hepatitis C in a state correctional facility. Ann Intern Med 2003;138:187-190.
  • 41
    Boonwaat L, Haber PS, Levy MH, Lloyd AR. Establishment of a successful assessment and treatment service for Australian prison inmates with chronic hepatitis C. Med J Aust 2010;192:496-500.
  • 42
    United Nations. Joint statement: compulsory drug detention and rehabilitation centres. Available from:, accessed March 5, 2013: United Nations; 2012.

Supporting Information

  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgment
  7. References
  8. Supporting Information

Additional Supporting Information may be found in the online version of this article.

hep26387-sup-0001-suppinfo.doc2819KSupplementary Information

Please note: Wiley Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.