High HIV and hepatitis C prevalence amongst injecting drug users in Mauritius: Findings from a population size estimation and respondent driven sampling survey

Johnston, Lisa G.; Saumtally, Ahmed; Corceal, Sewraz; Mahadoo, Indrasen; Oodally, Farida

doi:10.1016/j.drugpo.2011.05.007

Cited by 39 publications

(22 citation statements)

References 10 publications

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“…Similarly, in Russian IDU, HCV prevalence was 54-70% 6 and 61.4% among Chinese IDU 7 . Contrary to that, higher prevalence of HCV (97.3%) in IDU was found in Mauritius 9 . However, IDU was never a significant factor for HCV incidence, as only 0.2% and 6% HCV infectivity was noticed in Congo15 and South-west Nigeria 8 .…”

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confidence: 65%

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Epidemiology of hepatitis C viral infection in Faisalabad, Pakistan: a retrospective study (2010-2012)

Maan¹,

Hussain²,

Jamil³

2015

Afr H. Sci.

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Abstract:Background: Hepatitis viral infections are major health challenge leading to high morbidity and mortality worldwide. Objectives: Although the magnitude of hepatitis in Pakistan has been well documented, information regarding the prevalence of hepatitis C virus (HCV) infection in Faisalabad, Pakistan is scarce. The present retrospective study was undertaken to determine the epidemiology of HCV in Faisalabad, Pakistan. Methods: Between May, 2010 and December, 2012, medical records of 39780 subjects visiting sexually transmitted infections (STIs) clinic, district headquarter (DHQ) hospital, Faisalabad, Pakistan were reviewed. Regression analysis was used to determine independent risk factors Results: HCV prevalence was 21.99%. With mean age of 49.5 ± 2.7 years (range 27-63 years), majority (67.15%) of the individuals were male. Marital status and low literacy rates were associated with HCV (P<0.05). Reference to the potential risk factors, the injection drug use was the major mode (72.77%) of infection transmission. Age (OR 1.5, 95% CI 1.2-1.9), male gender (OR 1.2, 95% CI 0.9-1.6) and injection use (OR 1.9, 95% CI 1.0-2.7) were significantly associated with HCV. Conclusions: Most important finding was higher HCV prevalence in Faisalabad region as compared to the previous assessments that demands an urgent need for preventive intervention strategies.

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confidence: 65%

“…Numerous studies documented prevalence of hepatitis C infection. [5][6][7][8][9][10][11][12][13][14][15][16][17] Diverse HCV prevalence rates worldwide could be explained by the different risk factors involved. [18][19][20] At national level, HCV prevalence among general population and high risk groups was reported.…”

Section: Introductionmentioning

confidence: 99%

Epidemiology of hepatitis C viral infection in Faisalabad, Pakistan: a retrospective study (2010-2012)

Maan¹,

Hussain²,

Jamil³

2015

Afr H. Sci.

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“…Two studies (6%) went on to use sampling data in combination with ‘service multipliers’ to calculate a total population size of PWID and therefore gave an indication of the total disease burden of HCV in the target population for the survey [25, 26]. …”

Section: Resultsmentioning

confidence: 99%

“…How seed data was handled in the analysis was not explicitly reported in most studies although six (22%) did describe deliberately excluding seed data from population prevalence estimates whereas two (7%) specifically documented its inclusion [25, 29]. …”

Section: Resultsmentioning

confidence: 99%

Hepatitis C bio-behavioural surveys in people who inject drugs—a systematic review of sensitivity to the theoretical assumptions of respondent driven sampling

et al. 2017

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BackgroundNew, more effective and better-tolerated therapies for hepatitis C (HCV) have made the elimination of HCV a feasible objective. However, for this to be achieved, it is necessary to have a detailed understanding of HCV epidemiology in people who inject drugs (PWID).Respondent-driven sampling (RDS) can provide prevalence estimates in hidden populations such as PWID. The aims of this systematic review are to identify published studies that use RDS in PWID to measure the prevalence of HCV, and compare each study against the STROBE-RDS checklist to assess their sensitivity to the theoretical assumptions underlying RDS.MethodSearches were undertaken in accordance with PRISMA systematic review guidelines. Included studies were English language publications in peer-reviewed journals, which reported the use of RDS to recruit PWID to an HCV bio-behavioural survey. Data was extracted under three headings: (1) survey overview, (2) survey outcomes, and (3) reporting against selected STROBE-RDS criteria.ResultsThirty-one studies met the inclusion criteria. They varied in scale (range 1–15 survey sites) and the sample sizes achieved (range 81–1000 per survey site) but were consistent in describing the use of standard RDS methods including: seeds, coupons and recruitment incentives.Twenty-seven studies (87%) either calculated or reported the intention to calculate population prevalence estimates for HCV and two used RDS data to calculate the total population size of PWID. Detailed operational and analytical procedures and reporting against selected criteria from the STROBE-RDS checklist varied between studies. There were widespread indications that sampling did not meet the assumptions underlying RDS, which led to two studies being unable to report an estimated HCV population prevalence in at least one survey location.ConclusionRDS can be used to estimate a population prevalence of HCV in PWID and estimate the PWID population size. Accordingly, as a single instrument, it is a useful tool for guiding HCV elimination. However, future studies should report the operational conduct of each survey in accordance with the STROBE-RDS checklist to indicate sensitivity to the theoretical assumptions underlying the method.Systematic review registrationPROSPERO CRD42015019245

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“…4–7 Specifically, the unique object multiplier method involves distributing a unique, non-valuable item to population members one week before the initiation of a respondent-driven sampling study. The service multiplier involves obtaining unique counts of population members who received a service during a specific time period before the initiation of a respondent-driven sampling study.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Size of Hidden Populations Using Respondent-driven Sampling Data

et al. 2015

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Background Respondent-driven sampling is used worldwide to estimate the population prevalence of characteristics such as HIV/AIDS and associated risk factors in hard-to-reach populations. Estimating the total size of these populations is of great interest to national and international organizations, however reliable measures of population size often do not exist. Methods Successive Sampling-Population Size Estimation (SS-PSE) along with network size imputation allows population size estimates to be made without relying on separate studies or additional data (as in network scale-up, multiplier and capture-recapture methods), which may be biased. Results Ten population size estimates were calculated for people who inject drugs, female sex workers, men who have sex with other men, and migrants from sub-Sahara Africa in six different cities in Morocco. SS-PSE estimates fell within or very close to the likely values provided by experts and the estimates from previous studies using other methods. Conclusions SS-PSE is an effective method for estimating the size of hard-to-reach populations that leverages important information within respondent-driven sampling studies. The addition of a network size imputation method helps to smooth network sizes allowing for more accurate results. However, caution should be used particularly when there is reason to believe that clustered subgroups may exist within the population of interest or when the sample size is small in relation to the population.

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High HIV and hepatitis C prevalence amongst injecting drug users in Mauritius: Findings from a population size estimation and respondent driven sampling survey

Cited by 39 publications

References 10 publications

Epidemiology of hepatitis C viral infection in Faisalabad, Pakistan: a retrospective study (2010-2012)

Epidemiology of hepatitis C viral infection in Faisalabad, Pakistan: a retrospective study (2010-2012)

Hepatitis C bio-behavioural surveys in people who inject drugs—a systematic review of sensitivity to the theoretical assumptions of respondent driven sampling

Estimating the Size of Hidden Populations Using Respondent-driven Sampling Data

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