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Systematic Review

The Dual Burden of Hepatitis B and C Among Drug Users in Asia: The First Systematic Review and Meta-Analysis

by
Ali A. Rabaan
1,2,3,*,
Kizito E. Bello
4,
Zaheda Radwan
5,
Amal K. Hassouneh
6,
Hayam A. Alrasheed
7,
Jawaher Alotaibi
8,
Bashayer Basrana
9,
Ali A. Zaidan
10,
Mohammed A. Garout
11,
Tasneem I. Zaidan
12,
Kawthar Amur Al Amri
13,
Sana A. Alshaikh
14,
Kawthar Haider Al Alawi
15,
Razi A. Alalqam
16,
Huseyin Tombuloglu
17 and
Nabiha A. Bouafia
18,19,*
1
Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia
2
College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
3
Department of Public Health and Nutrition, The University of Haripur, Haripur 22610, Pakistan
4
Department of Microbiology, Kogi State (Prince Abubakar Audu) University, Anyigba 10008, Nigeria
5
Medical Laboratory Department, Mohammed Al-Mana College for Medical Sciences, Dammam 34222, Saudi Arabia
6
Clinical Pharmacy Department, King Saud Medical City, Riyadh 11362, Saudi Arabia
7
Department of Pharmacy Practice, College of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia
8
Infectious Diseases Unit, Department of Medicine, King Faisal Specialist Hospital and Research Center, Riyadh 11564, Saudi Arabia
9
Department of Infectious Disease, King Abdullah Medical Complex, Jeddah 6725, Saudi Arabia
10
Gastroenterology Department, King Fahad Armed Forces Hospital, Jeddah 23831, Saudi Arabia
11
Department of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia
12
Pediatric Infectious Diseases Unit, Pediatric Department, King Abdulaziz Hospital, Jeddah 23831, Saudi Arabia
13
Infection and Control Department, Armed Forces Hospital, Azaibah 130, Oman
14
Diagnostic Virology Laboratory, Maternity and Children Hospital, Eastern Health Cluster, Dammam 32253, Saudi Arabia
15
Nursing Department of Vaccine Clinic, Hospital: Al Jamaeen Primary Health Care, Dammam 32467, Saudi Arabia
16
Department of Medicine, Royal College of Surgeons, D02 YN77 Dublin, Ireland
17
Department of Genetics Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam 34221, Saudi Arabia
18
Infection Prevention and Control Centre of Excellence, Prince Sultan Medical Military City, Riyadh 12233, Saudi Arabia
19
Preventive and Community Medicine Department, Faculty of Medicine, University of Sousse, Sousse 4002, Tunisia
*
Authors to whom correspondence should be addressed.
Pathogens 2025, 14(4), 360; https://doi.org/10.3390/pathogens14040360
Submission received: 13 March 2025 / Revised: 26 March 2025 / Accepted: 31 March 2025 / Published: 7 April 2025

Abstract

:
Hepatitis B virus (HBV) and Hepatitis C virus (HCV) contribute significantly to morbidity and mortality among drug users in Asia. This study systematically reviews and analyzes the pooled prevalence of HBV and HCV, considering geographic and methodological variations. A meta-analysis following PRISMA guidelines included data from PubMed, Scopus, and Google Scholar on studies on HBV or HCV or a combination of both within Asia. A random-effects model estimated pooled prevalence, with subgroup analyses by region, study design, diagnostic method, and publication year. A total of 112 studies were analyzed. The pooled HBV prevalence among drug users was 14.3% (95% CI: 11.5–17.6), highest in Malaysia (28.7%) and Vietnam (26.6%). HCV prevalence was 58.6% (95% CI: 54.0–63.0), with the highest rates in Vietnam (63.5%) and China (62.9%). Retrospective studies reported a higher prevalence than cross-sectional ones. The use of ELISA for initial screening followed up by PCR reduced heterogeneity, improving diagnostic accuracy. HBV prevalence declined after 2010, while HCV rates remained persistently high. The high burden of HBV and HCV among drug users in Asia underscores an urgent public health concern. Targeted interventions, including vaccination, harm reduction strategies, and improved access to antiviral treatments, are essential to curbing transmission and enhancing health outcomes.

1. Background

The hepatitis B virus and hepatitis C virus are major causes of chronic liver disease, cirrhosis, and hepatocellular cancer worldwide [1,2]. Despite the large advances in the prevention, treatment, and management approach for both viruses, they remain a high cause of public health concern for all countries [3]. HBV and HCV are great contributors to morbidity and mortality in highly endemic areas [4]. According to the WHO, there are almost 2 billion infected people with HBV worldwide, of which 257 million are chronic carriers, and it is responsible for approximately 887,000 deaths annually from related diseases [5]. HCV affects an estimated 58 million people worldwide, with 1.5 million new infections occurring annually and approximately 290,000 deaths occurring annually due to cirrhosis and liver cancer. This burden is disproportionately situated on the Asia continent [6].
The region harbors some of the world’s highest prevalence rates of HBV and HCV-in fact, as high as 10% of the population in some East and Southeast Asian nations are carriers of chronic HBV infections [7]. Similarly, HCV rates remain dangerously high for strata of the population that are at risk, drug users. That notwithstanding, despite public health efforts to promote vaccination programs for HBV and direct-acting antiviral treatments for HCV, which is an actual realistic way of tackling the infection, huge gaps in prevention and care persist notably among high-risk groups, especially PWUD [8,9].
The drug users, more particularly PWID, are a critical population that bears a high vulnerability to the infections of HBV and HCV [10]. The behavioral risk factors, such as needle sharing, interlink with the structural drivers’ lack of access to both harm reduction services and health care, thereby further elevating the vulnerability of this population [11]. In Asia, the high prevalence of injectable drug use is compounded by sociopolitical, cultural, and economic challenges that hinder optimal responses. Injecting drug use is a clearly recognized precipitating factor in the spread of both HBV and HCV [10,11].
Bloodborne pathogens, such as the aforementioned viruses, spread widely due to shared infected injecting equipment. This often is transmitted in settings lacking harm reduction programs, including NSP and OST [12].
Although HBV can be transmitted perinatally, sexually, or through unsanitary medical procedures, the intersection of injection drug use with poor harm reduction practices produces specific epidemiological risks [13]. By contrast, HCV is primarily transmitted through blood-to-blood contact, thereby positioning PWID as among the most heavily affected populations worldwide [14]. The epidemiology among drug users from HBV and HCV infection represents geographical, cultural, and economic diversity across Asia [15]. Southeast Asian countries such as Vietnam, Myanmar, and Cambodia have reported high prevalence rates of injectable drug use but face challenges of inadequate harm reduction infrastructure and limited healthcare access [16,17]. These conditions make for higher HBV and HCV prevalence among PWID in these countries [17]. In contrast, countries like Japan and the Republic of Korea in East Asia report lower incidence rates because of comprehensive public health programs, widespread HBV vaccination efforts, and strict pharmaceutical controls [17]. However, even within those countries, subgroups of IDUs with discrimination or legal persecution remain at significant risk of both infections [18].
Central Asia is another story. Political and economic turmoil in countries such as Kazakhstan, Kyrgyzstan, and Uzbekistan has left the public health structures very weak, and drug users are thus very vulnerable to the infections caused by HBV and HCV [19]. Narcotics trafficking and increasing injecting drug use in the region, in addition to a very low level of harm reduction programs, are adding to the problem.
Most of the legislation on drugs and policy enforcement has been punitive, which tends to force drug users underground and consequently limit their access to health care services and harm reduction measures [20]. Stigmatization and discrimination further marginalize this population and dissuade them from seeking immunization, testing, and treatment for viral hepatitis [21].
Harm reduction approaches, like NSPs, OST, and targeted HBV immunization programs, are the keys to reducing transmission risks [21]. However, the implementation of these programs varies considerably in Asia. Countries like Vietnam and Malaysia have introduced harm-reduction policies under their national public health programs. In contrast, others, such as the Philippines and Thailand, face serious barriers due to repressive drug laws [11,22].
The introduction of DAA revolutionized the treatment of HCV, but high cost and limited access are major challenges in most Asian countries. Despite the well-documented global burden of HBV and HCV, data on their prevalence among drug users in Asia remain fragmented and unreliable [22]. Many studies are focused on PWID and often use different methods, diagnostic criteria, and sampling methods, which make combining results and drawing meaningful conclusions from these studies quite problematic [23]. Most of the available literature is limited to country-specific studies with very little regional or subregional analysis to identify broader trends. Neonatal vaccination programs for HBV have drastically cut prevalence rates among the general population, but their effectiveness in high-risk groups of drug users is less certain [24]. Similarly, while breakthroughs in HCV treatment create reasonable grounds for optimism for eventual eradication, the lack of reliable prevalence and access to treatment data among PWID limits those efforts [25].
The smaller countries in the region and some understudied populations are significantly lagging, leaving policymakers with relatively scant information to develop targeted responses. Given the dual burden of HBV and HCV among drug users in the Asian setting, the need for a comprehensive review and meta-analysis cannot be understated, given the deficiency of these analyses in existing literature. The present study commits to an in-depth synthesis of current data pertaining to the prevalence of HBV and HCV in the region.

2. Methods

2.1. Research Design

The systematic review and meta-analysis were performed based on the Preferred Reporting Items for Systematic Reviews and meta-analysis criteria. According to the PRISMA criteria, this process ensures clarity, reproducibility, and comprehensiveness of the process for synthesizing available evidence [26]. Accordingly, the objectives of this review are to assess the incidence of HBV and HCV among drug users in Asia by highlighting geographical disparities in terms of the prevalence of the virus and critical gaps in the existing literature.

2.2. Eligibility Criteria

Studies were chosen based on the pre-defined inclusion and exclusion criteria of the study. These are:
Inclusion Criteria Investigation of drug users, whether injecting or not, in Asian countries. Investigations that report the prevalence of HBV and HCV as a point estimate or percentage, studies reporting HBV and HCV as co-infected with other diseases such as Human immunodeficiency virus (HIV). Cross-sectional studies, cohort, and case-control studies ensure the integrity of data is assured and published to date.
Exclusion Criteria Studies targeting a population unrelated to drug use or without specific prevalence figures for drug users. Systematic reviews, editorials, conference paper presentations, and opinions that do not present original data. Studies with a lack of uncertain information on the prevalence of HBV and HCV. Duplicate publication or overlapping datasets.

2.3. Information Sources

Literature was retrieved from the following electronic databases: PubMed, Google Scholar, Scopus, Web of Science, and Science Direct. Grey literature sources were explored for government reports and institutional repositories to reduce publication bias. Reference lists from eligible publications were further scanned for additional studies.

2.4. Search Strategy

The search strategy combines MeSH terminology with free-text keywords in order to ensure a comprehensive search; there was no language restriction in the search strategy. Examples of terminology include:
Hepatitis B: (“Hepatitis B”, “HBV”, “Hepatitis B Virus infection.”), Hepatitis C: (“Hepatitis B”, “HCV”, “Hepatitis C Virus infection.”) Substance users: “Substance use”, “Drug addiction”, “Injection drug users”, “People who inject drugs (PWID)”. Asia: Specific country names and “Asia” as a continent/region. To restrict the search output, Boolean operators AND, OR, and NOT were applied. Truncation and wild card symbols were also used to capture changing terminology, for example, “drug use” and “Asia”. The search strategy was peer-reviewed for completeness and accuracy, and details about the search strategy are provided in Supplementary File S1.

2.5. Selection of Studies

The selection was performed according to a two-track approach: Two independent reviewers reviewed the titles and the abstracts of the retrieved materials for possibly relevant articles. The third reviewer solved the disagreement. All eligible articles identified during preliminary screening entered a detailed full-text evaluation based on the set inclusion and exclusion criteria. A PRISMA flow diagram was used to record the number of studies identified, screened, excluded, and included at each step.

2.6. Data Extraction

Data were extracted independently by two reviewers using a predesigned standardized data collection instrument. The following information was extracted:
Study Characteristics: Author(s), Year of publication, Country of study, and Study design. Participants’ Characteristics: Sample size demographic data, such as age, sex, and type of drug use-injecting or non-injecting. Performance Indicators: HBV prevalence, confidence interval, if available, and diagnostics used, such as HBsAg tests, etc. Risk Factors: Factors associated with HBV and HCV prevalence, if any, Quality Factors: Response rate, Sampling method, and Study limitations. Any disagreements that occurred in data extraction were resolved by consensus or with the help of a third reviewer.

2.7. Risk of Bias Assessment

The risk of bias in the selected studies was measured using a validated tool, namely the Joanna Briggs Institute Critical Appraisal Checklist for Prevalence studies [27]. Details of the quality checklist for the studies are provided in Supplementary File S2. The domains evaluated included Sampling strategy, representativeness of sample, validity, and reliability of HBV diagnostic method, and handling of missing data. The risk of bias in each study was assessed as low, moderate, or high. Sensitivity analyses were conducted on the basis of excluding studies with a high risk of bias.

2.8. Statistical Analysis

The prevalence data from the included studies were pooled using a random-effects meta-analysis model, considering the heterogeneity between studies. To determine heterogeneity, the I2 statistic was used, and thresholds of 25%, 50%, and 75% showed low, moderate, and high heterogeneity, respectively [28,29]. Subgroup analyses were conducted by exploring potential sources of heterogeneity according to the following: country or subregion in Asia, study setting-community-based versus institution-based Year of publication. We evaluated publication bias with funnel plots and Egger’s test [30]. If asymmetry was observed, pooled estimates were adjusted using the trim-and-fill method [30].

3. Result

3.1. Study Selection

A comprehensive search of six electronic databases produced a total of 5164 records. Following the elimination of duplicates, 911 distinct articles persisted for additional evaluation. A meticulous analysis of the titles and abstracts of these publications led to the elimination of 3966 articles that failed to satisfy the established inclusion criteria. The main grounds for exclusion at this stage were irrelevance to the study topic, No prevalence information for HBV/HCV, or insufficient data on HBV/HCV prevalence.
After the preliminary screening, the entire text of the remaining articles was scrutinized to evaluate their eligibility for inclusion in the review. The comprehensive assessment resulted in the deletion of an additional 607 papers due to issues including data duplication, lack of HBV/HCV prevalence data, and incomplete or unclear prevalence reporting. In total, 112 publications satisfied all inclusion criteria and were considered appropriate for qualitative synthesis and meta-analysis.
Figure 1 visually summarizes the research selection process, detailing each stage of article identification, screening, and inclusion, as well as the rationale for rejection at each step. The stringent selection method guaranteed the incorporation of high-caliber research that corresponded with the aims of this systematic review and meta-analysis.

3.2. Characteristics of the Included Studies

Table 1 delineates the attributes of diverse studies on Hepatitis B Virus (HBV) and Hepatitis C Virus (HCV) infections carried out in various countries, predominantly in Asia. These studies collectively offer an extensive overview of HBV and HCV prevalence among various populations, utilizing a combination of cross-sectional and retrospective methodologies, with detection techniques primarily reliant on ELISA (Enzyme-Linked Immunosorbent Assay) and PCR (Polymerase Chain Reaction). The results indicate substantial discrepancies in infection rates, underscoring the public health challenges presented by these viruses, especially in the Asia-Pacific area.
The Hepatitis B Virus (HBV) has been documented in numerous research studies, with sample sizes varying from 34 to 7740 persons. In Vietnam, extensive investigations like those conducted by Barnaby and others surveyed 7740 persons and identified 1321 positive cases, indicating a substantial disease burden. In a similar vein, the research conducted by Nicholas and others, which encompassed 1444 participants, identified 875 cases of HBV positivity. The elevated prevalence corresponds with Vietnam’s classification as a high-endemic area for HBV. In contrast, smaller-scale studies such as those by Ishizak and others offer nuanced insights into certain cohorts, with differing positive rates indicating potential demographic or behavioral risk factors affecting HBV transmission.
The prevalence of HBV in nations such as Thailand and Malaysia is a significant part of regional health issues. Verachai and others reported 124 HBV-positive cases from a sample of 303 persons in Thailand, whereas Akthar and others identified 86 positive cases among 664 samples in Malaysia. These statistics highlight the significant impact of HBV, especially in smaller populations, requiring public health initiatives customized to local epidemiological trends. Studies on the Hepatitis C Virus (HCV) demonstrate significant diversity in prevalence rates. Dunford et al. and others found a concerning positive rate of 1000 out of 1434 persons sampled in Vietnam, underscoring the urgent necessity for focused HCV interventions in the area. Conversely, research conducted in Iran, including that of Hsieh and others, identified 513 HCV-positive cases among 562 samples, reflecting a comparably significant burden. The research conducted by Barnaby and others in Vietnam, using a substantial sample of 5461 participants, identified 3157 cases of HCV positivity, highlighting the concurrent prevalence of HBV and HCV in specific groups. India exhibits varied results in the prevalence of HBV and HCV across multiple research projects. McFall and others documented 1901 HCV-positive cases out of 6457 samples, underscoring substantial disease prevalence in one of the most populous countries globally. Comparable research conducted by Solomon and others revealed consistent HCV prevalence, with 293 and 566 positive cases, respectively, across intermediate sample sizes. These findings underscore the necessity for comprehensive public health initiatives to alleviate the HCV burden in India. The research methods predominantly employ Enzyme-Linked Immunosorbent Assay (ELISA) at the first level of screening, with some also employing Polymerase Chain Reaction (PCR) as confirmation. This also suggests the need for standardized diagnostic kits to provide accuracy and comparability of the data across sites. ELISA’s affordability and ease of use have made it pivotal in mass-scale screening, particularly in resource-poor areas. Despite that, PCR research offers the greater sensitivity and specificity required for case confirmation and understanding viral load dynamics.
In addition to geographical and methodological variations, the temporal aspect of this research is significant. Data extending across several decades, from 1994 (Li and others China) to 2023 (Nicholas and others Vietnam), demonstrate trends in the prevalence of HBV and HCV. For example, although certain earlier studies from China indicate moderate prevalence of HBV and HCV, more recent data from Vietnam demonstrate consistently elevated rates. This temporal study indicates either persistent transmission dynamics or the influence of improved screening and diagnostic capabilities in recent years.
These investigations also notably reveal regional patterns. Southeast Asia, exemplified by Vietnam, Thailand, and Malaysia, demonstrates some of the highest prevalence rates of HBV and HCV. In Vietnam, numerous research studies continuously indicate disturbingly elevated positive rates, with Barnaby and others and Nicholas and others highlighting the substantial disease burden in the country. Likewise, research conducted in Taiwan, including that by Hsieh and others, reveals a significant prevalence of HCV, with 87 positive cases identified among 566 samples, underscoring another region of considerable burden.
Conversely, the Middle Eastern setting, illustrated by research from Iran, demonstrates diverse incidence rates of HBV and HCV. Abbasali and others identified 65 HBV-positive patients from 539 samples, whereas Davoodian and others documented 196 HCV-positive cases from 249 samples. The data indicate localized epidemiological factors affecting HBV and HCV prevalence in the region.
The public health ramifications of these discoveries are substantial. The elevated prevalence rates of HBV and HCV in numerous countries emphasize the critical necessity for improved vaccine initiatives (for HBV), public awareness efforts, and effective antiviral treatment approaches. The concurrent prevalence of HBV and HCV in places like Vietnam and India necessitates integrated strategies to manage both illnesses simultaneously. Moreover, the influence of socioeconomic factors, healthcare infrastructure, and behavioral determinants on these incidence patterns necessitates additional examination.

3.3. Pooled Prevalence of HBV Among Drug Users

The study offers an in-depth examination of the pooled prevalence of hepatitis B virus (HBV) among drug users in Asia, with significant results depicted in the forest plot (Figure 2) and indications of possible publication bias shown in the funnel plot (Figure 3). The aggregated prevalence estimates provide valuable insights into the impact of HBV within this high-risk group.
The forest plot highlights significant variability among the analyzed studies, indicating variations in study environments, participant groups, and research methods. The significant variability indicates that the prevalence of HBV is not evenly spread throughout the region but rather shaped by specific local epidemiological and social influences. The pooled prevalence acts as a crucial summary measure for estimating the regional burden while also recognizing this variability.
The value of p = 0.0145 obtained from the funnel plot analysis indicates the presence of publication bias in the included studies, as illustrated in Figure 3.

3.4. Pooled Prevalence of HCV Among Drug Users in Asia

The analysis presented delivers a thorough assessment of the pooled prevalence of hepatitis C virus (HCV) among drug users in Asia. Figure 4 showcases the pooled prevalence via a forest plot, while Figure 5 illustrates the funnel plot to evaluate publication bias. The pooled prevalence serves as a crucial epidemiological metric for assessing the burden of HCV in a population that is especially susceptible due to behaviors linked to drug use, including needle sharing.
The combined prevalence estimate represents an aggregation of various studies and underscores the considerable impact of HCV within the drug-using population. The latter highlights the essential requirement for focused public health initiatives. Nonetheless, as shown by Egger’s p = 0.136, there is no substantial evidence of publication bias in the studies that were included.

3.5. Subgroup Meta-Analysis

3.5.1. HBV Subgroup

This meta-analysis examines the prevalence of Hepatitis B Virus (HBV) among drug users in Asia, categorized by various parameters such as country, study design, detection method, and publication year. The data reveal variations in geography and methodology, illustrating the changing patterns of HBV infection over time, as shown in Table 2. The findings indicate significant differences in HBV prevalence among various Asian nations. Malaysia exhibited the highest prevalence among the countries reported (28.7%, CI: 5.4–74.0), although this was derived from only two studies, indicating considerable heterogeneity. Vietnam came next with a prevalence of 26.6% (CI: 13.1–46.4), backed by seven studies that also demonstrated significant heterogeneity. Countries exhibiting notable prevalence rates comprise Indonesia (26.6%, based on a single study), Taiwan (15.5%, CI: 13.7–17.6), and Iran (10.5%, CI: 5.2–20.2), indicating considerable heterogeneity. Korea (6.6%, single study) and India (7.7%, CI: 5.8–10.2) exhibited relatively low HBV prevalence among drug users, as illustrated in Table 2 and Figure 6.
The prevalence of HBV was observed to be greater in retrospective studies (16.7%, CI: 11.5–23.6, I2 = 98.76%, p < 0.001) in comparison to cross-sectional studies (9.5%, CI: 7.1–12.5, I2 = 77.2%, p < 0.001). This difference may stem from variations in data collection techniques and the likelihood of selection bias in retrospective designs, as illustrated in Figure 7.
HBV detection through ELISA (25 studies) indicated a pooled prevalence of 14.3%, accompanied by significant heterogeneity. In contrast, the combination of ELISA and PCR (three studies) produced the same prevalence but exhibited much lower heterogeneity, as illustrated in Figure 8. This suggests that the integration of detection methods could minimize variability and enhance diagnostic precision, as illustrated in Table 2 and Figure 8.
There were clear temporal trends observed in the prevalence of HBV among individuals who use drugs. The peak prevalence observed was 52.3% (CI: 43.7–60.7) during the period of 2001–2005, as indicated by a singular study, after which there was a notable decrease to 16% in the subsequent years of 2006–2010. Nonetheless, a notable increase was recorded in later intervals: 19.4% (CI: 6.2–46.9, during 2016–2020) and 17.1% (CI: 16.2–17.9) from 2021 to 2024, highlighting ongoing public health issues, as illustrated in Table 2 and Figure 9.

3.5.2. HCV Subgroup

The subgroup analysis shown in Table 3 emphasizes the aggregated prevalence of hepatitis C virus (HCV) among drug users across various countries, study methodologies, detection techniques, and years of publication. The results offer a detailed insight into the fluctuations in HCV prevalence shaped by these factors. The data exhibit considerable variability across the majority of subgroups.
The variation in HBV prevalence across different countries indicates significant regional disparities in transmission dynamics and healthcare systems. The prevalence in Vietnam was notably high at 63.5% (95% CI: 44.3–79.2) (Figure 10), with significant heterogeneity observed. In a similar vein, China exhibited a notably high prevalence of 62.9% (95% CI: 58.0–67.7), highlighting the endemic nature in Southeast Asia. In contrast, the Philippines exhibited an extraordinarily high prevalence (99.2%, 95% CI: 88.5–100.0), indicating distinct epidemiological or sampling circumstances in that environment. Iran indicated a prevalence of 49.3% (95% CI: 39.8–58.8) with significant heterogeneity, whereas India exhibited a prevalence of 35.8% (95% CI: 26.1–46.9), as illustrated in Figure 10. The results indicate significant challenges throughout South and Southwest Asia. Taiwan, through the aggregation of three studies, demonstrated a prevalence of 91% (95% CI: 89.7–92.1) and exhibited low heterogeneity, suggesting a consistent HBV burden and possibly efficient screening or reporting systems.
The design of the studies had a significant impact on prevalence estimates. Retrospective studies indicated a higher pooled prevalence (60.4%, 95% CI: 55.5–65.1) in contrast to cross-sectional studies (50%, 95% CI: 40.6–59.4), as illustrated in Figure 11. The significant variability observed in both retrospective and cross-sectional studies highlights the disparities in methodologies, sampled populations, and contextual factors.
The method used for HBV detection has impacted the reported prevalence rates. Research utilizing enzyme-linked immunosorbent assay (ELISA) indicated a pooled prevalence of 58.6% (95% CI: 54.0–63.0), accompanied by significant heterogeneity, as illustrated in Table 3. Studies utilizing polymerase chain reaction (PCR) indicated a lower prevalence of 44.4% (95% CI: 23.1–68.0), whereas studies that combined ELISA and PCR demonstrated the highest prevalence at 67.4% (95% CI: 24.8–92.9). The variability highlights the importance of methodological sensitivity and specificity in establishing prevalence.
The analysis of the temporal distribution of studies indicated that earlier research (prior to 2001) revealed a higher pooled prevalence of 65.6% (95% CI: 54.1–77.2), whereas studies conducted between 2001 and 2010 showed a prevalence of 57.1% (95% CI: 49.7–64.5), as illustrated in Figure 12. Studies conducted between 2011 and 2020 indicated a noteworthy reduction in prevalence, recorded at 47.6% with a 95% confidence interval of 35.3 to 59.9. The data indicate a positive trajectory in public health initiatives, vaccination rates, and harm reduction approaches as time progresses. Nevertheless, studies conducted after 2020 indicated an increase in prevalence (59%, 95% CI: 56.3–61.7), albeit based on a limited dataset (n = 2), which may suggest the influence of sampling or publication biases.

4. Discussion

The pooled prevalence of HBV and HCV among drug users in Asia highlights a significant public health concern [16], illustrating the intricate interactions of behavioral, structural, and systemic elements that increase the susceptibility of this group to infection [7]. Individuals who use drugs, especially those who engage in injection practices, encounter heightened risks for HBV and HCV transmission as a result of needle sharing, unprotected sexual behaviors, and exclusion from healthcare services [10].
The significant occurrence of HBV among individuals who use drugs aligns with findings that injecting drug use is a major factor in the spread of bloodborne viruses [10]. The ability of HBV to persist on surfaces and in dried blood for prolonged durations heightens the risk of transmission via contaminated injecting equipment [13]. The use of shared needles and paraphernalia establishes clear routes for HBV transmission, positioning drug users as one of the most vulnerable groups for this infection [133]. In a similar vein, the significant occurrence of HCV among individuals who use drugs can be linked to the virus’s exceptional durability and its main method of spread via blood-to-blood contact [6]. In contrast to HBV, HCV does not have a preventive vaccine, which significantly increases the disease burden for individuals involved in unsafe injecting practices [134].
Alongside the introduction of certain behaviors, the sexual transmission of HBV poses a considerable risk among individuals who use drugs. Engaging in high-risk sexual behaviors, such as unprotected intercourse and transactional sex, significantly increases their vulnerability to HBV infection [135]. Structural barriers, including stigma and discrimination, intensify these risks by restricting access to prevention, testing, and treatment opportunities [136,137]. Populations that use drugs and are marginalized frequently encounter social exclusion, limited access to healthcare services, and increased susceptibility to infectious diseases [137]. Confronting these structural challenges necessitates strategies that emphasize fairness, diminish stigma, and incorporate care services customized to the requirements of individuals who use drugs.
The geographic variability in HBV and HCV prevalence underscores significant regional disparities in disease epidemiology. Vietnam and Malaysia show the highest prevalence of HBV among drug users, highlighting deficiencies in healthcare infrastructure, inadequate vaccination initiatives, and restricted harm reduction strategies [22]. In a similar vein, Vietnam and China exhibit the highest prevalence rates of HCV, aligning with the understanding that these areas are endemic for bloodborne infections [6,10,138]. In contrast, nations such as Korea and India show relatively lower prevalence rates of HBV and HCV, likely due to superior healthcare infrastructure, broader vaccination coverage, and improved harm reduction strategies [139]. The observed disparities highlight the necessity of customizing interventions to respond to distinct regional contexts and healthcare issues effectively.
The variability seen in prevalence estimates reflects differences in public health policies, cultural perspectives on drug use, and the accessibility of preventive measures. In addition, nations that implement strong harm reduction strategies, including needle and syringe exchange programs and opioid substitution therapy, show decreased prevalence rates as a result of diminished chances for unsafe injecting behaviors. On the other hand, punitive strategies regarding drug use, which emphasize criminalization instead of harm reduction, intensify the disease burden by pushing drug use into secrecy and restricting access to healthcare services [140,141]. Areas with insufficient healthcare infrastructure encounter further difficulties, including a lack of diagnostic capabilities and limited access to antiviral therapies, which exacerbates the incidence of HBV and HCV among individuals who use drugs [141].
Socioeconomic disparities represent a crucial element influencing the elevated rates of HBV and HCV among drug-using populations. Individuals who use drugs frequently come from economically disadvantaged backgrounds, facing barriers to healthcare and preventive measures [142,143,144]. Financial obstacles hinder numerous individuals from obtaining HBV vaccination programs or expensive direct-acting antivirals (DAAs) for HCV, which are crucial for alleviating the disease burden. Furthermore, the cultural stigma surrounding drug use in numerous Asian societies acts as a barrier, preventing individuals from pursuing medical assistance or engaging in public health initiatives [136,137]. To tackle these disparities, it is essential to implement a comprehensive strategy that integrates financial assistance, enhanced access to healthcare, and active community involvement to reach those populations that are underserved effectively.
Publication bias has been identified as a significant issue in the examination of HBV prevalence; this bias probably arises from an increased tendency to publish studies that yield significant or positive results, which can lead to inflated pooled prevalence estimates and exaggerate the burden of the disease. Although the analysis of HCV prevalence showed less apparent publication bias, the heterogeneity among studies indicates variations in methodology and contextual factors [87]. The differences in study design, sample size, diagnostic methods, and population characteristics lead to this heterogeneity, making the pooled estimates more reliable.
The significance of diagnostic methods in establishing prevalence estimates is especially noteworthy. Investigations utilizing ELISA for the detection of HBV and HCV frequently indicated elevated prevalence rates, potentially shaped by the method’s cost-effectiveness and accessibility [24,145,146]. Nonetheless, the potential for false positives or negatives in ELISA, stemming from differing antigen concentrations, brings into question its diagnostic reliability [147]. PCR-based methods, although exhibiting greater sensitivity and specificity, are utilized less often because of their elevated costs and logistical demands [148]. The integration of ELISA and PCR methods resulted in decreased heterogeneity in prevalence estimates, highlighting the importance of utilizing various diagnostic techniques to improve accuracy and comparability.
The changes in HBV prevalence over time illustrate the effects of worldwide public health initiatives, particularly the implementation and expansion of HBV vaccination programs [149,150]. The noted decrease in prevalence following 2010 corresponds with increased vaccination efforts and the advocacy of harm reduction approaches. Nonetheless, the increase in prevalence observed in recent years may indicate difficulties in maintaining these initiatives, especially within marginalized groups like drug users [151]. Obstacles to vaccination and treatment adoption, such as stigma, limited awareness, and inadequate healthcare access, continue to be ongoing challenges [149,152]. The consistently high prevalence rates of HCV over time highlight the critical necessity for increased testing and improved access to direct-acting antivirals, which have transformed HCV treatment with cure rates surpassing 95%.
The consistently elevated rates of HBV and HCV among drug users in Asia highlight the critical necessity for focused public health strategies. Strategies aimed at harm reduction, including needle and syringe exchange programs and opioid substitution therapy, have shown effectiveness in decreasing the transmission of bloodborne infections [13]. It is essential to broaden these programs to encompass underserved areas and align them with wider public health strategies to reduce transmission risks effectively. It is essential to prioritize vaccination programs for HBV among drug-using populations, implementing outreach initiatives to overcome barriers to access. To achieve sustained reductions in the prevalence of HCV, it is crucial to enhance the affordability and availability of DAAs.
The results of this meta-analysis underscore the essential need for thorough, region-specific strategies to tackle the dual challenges posed by HBV and HCV in the drug-using population. Through the implementation of evidence-based strategies, the enhancement of access to prevention and treatment, and the tackling of structural inequities, public health stakeholders have the potential to achieve significant advancements in decreasing disease transmission and enhancing health outcomes for one of Asia’s most at-risk populations. This coordinated strategy shows potential for addressing the considerable public health issues related to HBV and HCV among drug-using communities throughout the area.

5. Strengths and Limitations

This study presents a thorough meta-analysis of HBV and HCV prevalence among drug users in Asia, integrating data from various settings and subpopulations. The study demonstrates a significant strength through its strict compliance with PRISMA guidelines, which guarantees methodological rigor and reproducibility. Incorporating both published and grey literature reduces the likelihood of publication bias and strengthens the dependability of aggregated estimates. Subgroup analyses yield detailed insights into geographic, temporal, and methodological variations, facilitating a nuanced understanding of prevalence patterns throughout the region.
Nonetheless, the study does have its limitations. The considerable heterogeneity observed across the included studies, especially in subgroup analyses, indicates notable variability in methodologies, populations, and settings. Retrospective studies frequently utilize selective sampling, which can lead to an inflation of prevalence estimates, whereas cross-sectional studies might not accurately reflect the true burden. The dependence on ELISA in numerous studies prompts questions regarding diagnostic specificity, especially for HBV, where molecular techniques such as PCR provide enhanced sensitivity. Finally, the lack of geographic diversity in the studies, particularly with a focus on a specific continent, limits the applicability of the findings to the wider global context.

6. Conclusions

This systematic review and meta-analysis highlight the significant impact of HBV and HCV on drug users in Asia. The findings highlight significant geographic differences in prevalence, illustrating the intricate relationship between healthcare access, harm reduction strategies, and socioeconomic factors. Although there have been reductions in HBV prevalence in certain areas thanks to vaccination initiatives, the persistently elevated rates of HCV underscore the critical necessity for improved prevention and treatment strategies. The results highlight the necessity of incorporating harm reduction services, including needle exchange programs and opioid substitution therapy, into wider public health strategies. Increasing the availability of HBV vaccination and guaranteeing the affordability of direct-acting antivirals for HCV are essential measures in alleviating the disease burden.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/pathogens14040360/s1, File S1: Search strategy; File S2: JBI quality assessment of the included studies.

Author Contributions

A.A.R. and N.A.B. conceptualized and designed the study. K.E.B., Z.R. and A.K.H. conducted the literature search and data acquisition. H.A.A., J.A. and B.B. performed the data extraction and quality assessment. A.A.Z. and M.A.G. conducted the statistical analyses and contributed to interpreting the results. T.I.Z., K.A.A.A. and S.A.A. prepared the initial draft of the manuscript. K.H.A.A. and R.A.A. critically reviewed the manuscript for intellectual content. H.T. provided technical guidance and supervised the methodological framework. N.A.B. and A.A.R. finalized the manuscript and ensured all authors approved the final version. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

All authors acknowledge their respective institutions and organizations.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Torbenson, M.; Kannangai, R.; Astemborski, J.; Strathdee, S.A.; Vlahov, D.; Thomas, D.L. High Prevalence of Occult Hepatitis B in Baltimore Injection Drug Users. Hepatology 2004, 39, 51–57. [Google Scholar] [CrossRef] [PubMed]
  2. Drysdale, K.; Bryant, J.; Holt, M.; Dowsett, G.W.; Holt, M.; Lea, T.; Aggleton, P.; Treloar, C. Destabilising the ‘problem’ of chemsex: Diversity in settings, relations and practices revealed in Australian gay and bisexual men’s crystal methamphetamine use. Int. J. Drug Policy 2020, 78, 102697. [Google Scholar] [CrossRef] [PubMed]
  3. Curtis, T.J.; Rodger, A.J.; Burns, F.; Nardone, A.; Copas, A.; Wayal, S. Patterns of sexualised recreational drug use and its association with risk behaviours and sexual health outcomes in men who have sex with men in London, UK: A comparison of cross-sectional studies conducted in 2013 and 2016. Sex. Transm. Infect. 2020, 96, 197–203. [Google Scholar] [CrossRef] [PubMed]
  4. Zhao, X.; Sun, L.; Mu, T.; Yi, J.; Ma, C.; Xie, H.; Liu, M.; Tang, H. An HBV-encoded miRNA activates innate immunity to restrict HBV replication. J. Mol. Cell Biol. 2020, 12, 263–276. [Google Scholar] [CrossRef] [PubMed]
  5. World Health Organization. WHO Hepatitis B Vaccines: WHO Position Paper—Recommendations. Vaccine 2010, 28, 589–590. [Google Scholar] [CrossRef] [PubMed]
  6. Fitzpatrick, T.; Pan, S.W.; Tang, W.; Guo, W.; Tucker, J.D. HBV and HCV test uptake and correlates among men who have sex with men in China: A nationwide cross-sectional online survey. Sex. Transm. Infect. 2018, 94, 502–507. [Google Scholar] [CrossRef] [PubMed]
  7. Bello, K.E.; Mat Jusoh, T.N.A.; Irekeola, A.A.; Abu, N.; Amin, N.A.Z.M.; Mustaffa, N.; Shueb, R.H. A Recent Prevalence of Hepatitis B Virus (HBV) Genotypes and Subtypes in Asia: A Systematic Review and Meta-Analysis. Healthcare 2023, 11, 1011. [Google Scholar] [CrossRef] [PubMed]
  8. Zhang, L.; Celentano, D.D.; Le Minh, N.; Latkin, C.A.; Mehta, S.H.; Frangakis, C.; Ha, T.V.; Mo, T.T.; Sripaipan, T.; Davis, W.W.; et al. Prevalence and correlates of HCV monoinfection and HIV and HCV coinfection among persons who inject drugs in Vietnam. Eur. J. Gastroenterol. Hepatol. 2015, 27, 550–556. [Google Scholar] [CrossRef] [PubMed]
  9. Drive Study Group; Duong, H.T.; Jarlais, D.D.; Khuat, O.H.T.; Arasteh, K.; Feelemyer, J.; Khue, P.M.; Giang, H.T.; Laureillard, D.; Hai, V.V.; et al. Risk behaviors for hiv and hcv infection among people who inject drugs in Hai Phong, Viet Nam, 2014. AIDS Behav. 2018, 22, 2161–2171. [Google Scholar] [CrossRef] [PubMed]
  10. Quan, V.M.; Go, V.F.; Van Nam, L.; Bergenstrom, A.; Thuoc, N.P.; Zenilman, J.; Latkin, C.; Celentano, D.D. Risks for HIV, HBV, and HCV infections among male injection drug users in northern Vietnam: A case–control study. AIDS Care 2009, 21, 7–16. [Google Scholar] [CrossRef]
  11. Suppiah, J.; Zain, R.M.; Nawi, S.H.; Bahari, N.; Saat, Z. Drug-resistance associated mutations in polymerase (P) gene of hepatitis B virus isolated from Malaysian HBV carriers. Hepat. Mon. 2014, 14, e13173. [Google Scholar] [CrossRef] [PubMed]
  12. Trung, N.T.; Hai, L.T.; Giang, D.P.; Hoan, P.Q.; Binh, M.T.; Hoan, N.X.; Toan, N.L.; Meyer, C.G.; Velavan, T.P.; Bang, M.H.; et al. No expression of HBV-human chimeric fusion transcript (HBx-LINE1) among Vietnamese patients with HBV-associated hepatocellular carcinoma. Ann. Hepatol. 2019, 18, 404–405. [Google Scholar] [CrossRef] [PubMed]
  13. Candotti, D.; Assennato, S.M.; Laperche, S.; Allain, J.P.; Levicnik-Stezinar, S. Multiple HBV transfusion transmissions from undetected occult infections: Revising the minimal infectious dose. Gut 2019, 68, 313–321. [Google Scholar] [CrossRef] [PubMed]
  14. Keryakos, H.K.H.; Mohammed, A.A.; Higazi, A.M.; Mahmoud, E.A.M.; Saad, Z.M. Serum and ascitic fluid interleukin-17 in spontaneous bacterial peritonitis in Egyptian patients with HCV-related liver cirrhosis. Curr. Res. Transl. Med. 2020, 68, 237–243. [Google Scholar] [CrossRef]
  15. Johnson, D.F.; Ratnam, I.; Matchett, E.; Earnest-Silveria, L.; Christiansen, D.; Leder, K.; Grayson, M.L.; Torresi, J. The incidence of HBV and HCV infection in Australian travelers to Asia. J. Travel Med. 2013, 20, 203–205. [Google Scholar] [CrossRef]
  16. Irekeola, A.A.; Malek, N.A.; Wada, Y.; Mustaffa, N.; Muhamad, N.I.; Shueb, R.H. Prevalence of HCV genotypes and subtypes in Southeast Asia: A systematic review and meta-analysis. PLoS ONE 2021, 16, e0251673. [Google Scholar] [CrossRef]
  17. Wei, L.; Rao, H.Y.; Wang, Y.; Yang, M.; Gao, Y.H. Molecular epidemiology of HCV in Asia. Curr. Hepat. Rep. 2013, 12, 133–142. [Google Scholar] [CrossRef]
  18. Abdala, N.; Krasnoselskikh, T.V.; Durante, A.J.; Timofeeva, M.Y.; Verevochkin, S.V.; Kozlov, A.P. Sexually transmitted infections, sexual risk behaviors and the risk of heterosexual spread of HIV among and beyond IDUs in St. Petersburg, Russia. Eur. Addict. Res. 2008, 14, 19–25. [Google Scholar] [CrossRef] [PubMed]
  19. Khodjaeva, M.; Ibadullaeva, N.; Khikmatullaeva, A.; Joldasova, E.; Ismoilov, U.; Colombo, M.; Caviglia, G.P.; Rizzetto, M.; Musabaev, E. The medical impact of hepatitis D virus infection in Uzbekistan. Liver Int. 2019, 39, 2077–2081. [Google Scholar] [CrossRef] [PubMed]
  20. Kucirka, L.M.; Farzadegan, H.; Feld, J.J.; Mehta, S.H.; Winters, M.; Glenn, J.S.; Kirk, G.D.; Segev, D.L.; Nelson, K.E.; Marks, M.; et al. Prevalence, correlates, and viral dynamics of hepatitis delta among injection drug users. J. Infect. Dis. 2010, 202, 845–852. [Google Scholar] [CrossRef]
  21. Zhang, P.; Liu, F.; Guo, F.; Zhao, Q.; Chang, J.; Guo, J.T. Characterization of novel hepadnaviral RNA species accumulated in hepatoma cells treated with viral DNA polymerase inhibitors. Antivir. Res. 2016, 131, 40–48. [Google Scholar] [CrossRef] [PubMed]
  22. Akhtar, A.; Khan, A.H.; Sulaiman, S.A.S.; Soo, C.T.; Khan, K. HBV and HIV co-infection: Prevalence and clinical outcomes in tertiary care hospital Malaysia. J. Med. Virol. 2016, 88, 455–460. [Google Scholar] [CrossRef] [PubMed]
  23. Wang, J.; Yu, Y.; Li, G.; Shen, C.; Li, J.; Chen, S.; Zhang, X.; Zhu, M.; Zheng, J.; Song, Z.; et al. Natural history of serum HBV-RNA in chronic HBV infection. J. Viral Hepat. 2018, 25, 1038–1047. [Google Scholar] [CrossRef]
  24. Alzahrani, F.M.; Muzaheed Shaikh, S.S.; Alomar, A.I.; Acharya, S.; Elhadi, N. Prevalence of Hepatitis B Virus (HBV) among blood donors in eastern Saudi Arabia: Results from a five-year retrospective study of HBV seromarkers. Ann. Lab. Med. 2018, 39, 81–85. [Google Scholar] [CrossRef]
  25. Brouard, C.; Saboni, L.; Gautier, A.; Chevaliez, S.; Rahib, D.; Richard, J.-B.; Barin, F.; Larsen, C.; Sommen, C.; Pillonel, J.; et al. HCV and HBV prevalence based on home blood self-sampling and screening history in the general population in 2016: Contribution to the new French screening strategy. BMC Infect. Dis. 2019, 19, 896. [Google Scholar] [CrossRef]
  26. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef]
  27. Mude, A.S.A.; Nageye, Y.A.; Bello, K.E. Prevalence of hepatitis B virus among people in Somalia and among Somalian immigrants in diaspora: A systematic review and meta-analysis. Microbes Infect. Dis. 2024, 5, 532–546. [Google Scholar] [CrossRef]
  28. Fletcher, J. What is heterogeneity and is it important? BMJ 2007, 334, 94–96. [Google Scholar] [CrossRef]
  29. Higgins, J.P.T.; Thompson, S.G. Quantifying heterogeneity in a meta-analysis. Stat. Med. 2002, 21, 1539–1558. [Google Scholar] [CrossRef] [PubMed]
  30. Hunter, J.; Saratzis, A.; Sutton, A.; Boucher, R.; Sayers, R.; Bown, M. In meta-analyses of proportion studies, funnel plots were found to be an inaccurate method of assessing publication bias. J. Clin. Epidemiol. 2014, 67, 897–903. [Google Scholar] [PubMed]
  31. Verachai, V.; Phutiprawan, T.; Theamboonlers, A.; Chinchai, T.; Tanprasert, S.; Haagmans, B.L.; E Osterhaus, A.D.M.; Poovorawan, Y. Prevalence and genotypes of hepatitis C virus infection among drug addicts and blood donors in Thailand. Southeast Asian J. Trop. Med. Public Health 2002, 33, 849–851. [Google Scholar] [PubMed]
  32. Nordin, R.B.; Rahman Bin Isa, A.; Rusli Bin Abdullah, M. Prevalence of sexually transmitted diseases among new female drug abusers in a rehabilitation centre. Malays. J. Med. Sci. 2001, 8, 9–13. [Google Scholar] [PubMed]
  33. Phan, H.T.T. Hepatitis C and Human Immunodeficiency Virus Infections in Injecting Drug Users in Drug Treatment Centers in Vietnam. Ph.D. Thesis, The University of Texas School of Public Health, Dallas, TX, USA, 2009. [Google Scholar]
  34. Le, L.V.N.; O’Connor, S.; Tran, T.H.; Maher, L.; Kaldor, J.; Sabin, K.; Tran, H.V.; Tran, Q.D.; Ho, V.A.T.; Nguyen, T.A. High hepatitis C virus infection among female sex workers in Viet Nam: Strong correlation with HIV and injection drug use. West. Pac. Surveill. Response J. 2019, 10, 9. [Google Scholar]
  35. Nagot, N.; Binh, N.T.; Hong, T.T.; Vinh, V.H.; Quillet, C.; Vallo, R.; Huong, D.T.; Oanh, K.T.H.; Thanh, N.T.T.; Rapoud, D.; et al. A community-based strategy to eliminate hepatitis C among people who inject drugs in Vietnam. Lancet Reg. Health West. Pac. 2023, 37, 100801. [Google Scholar] [CrossRef]
  36. Flower, B.; Du Hong, D.; Kim, H.V.T.; Minh, K.P.; Geskus, R.B.; Day, J.; Cooke, G.S. Seroprevalence of Hepatitis B, C and D in Vietnam: A systematic review and meta-analysis. Lancet Reg. Health West. Pac. 2022, 24, 100468. [Google Scholar] [CrossRef] [PubMed]
  37. Ishizaki, A.; Tran, V.T.; Nguyen, C.H.; Tanimoto, T.; Hoang, H.T.T.; Pham, H.V.; Phan, C.T.T.; Bi, X.; Van Pham, T.; Ichimura, H. Discrepancies in prevalence trends for HIV, hepatitis B virus, and hepatitis C virus in Haiphong, Vietnam from 2007 to 2012. PLoS ONE 2017, 12, e0179616. [Google Scholar] [CrossRef]
  38. Des Jarlais, D.C.; Huong, D.T.; Oanh, K.T.H.; Pham, M.K.; Giang, H.T.; Thanh, N.T.; Arasteh, K.; Feelemyer, J.; Hammett, T.; Peries, M.; et al. Prospects for ending the HIV epidemic among persons who inject drugs in Haiphong, Vietnam. Int. J. Drug Policy 2016, 32, 50–56. [Google Scholar] [CrossRef]
  39. Agung Prasetyo, A.; Dirgahayu, P.; Sari, Y.; Kageyama, S. Molecular epidemiology of HIV, HBV, HCV, and HTLV-1/2 in drug abuser inmates in central Javan prisons, Indonesia. J. Infect. Dev. Ctries. 2013, 7, 453–467. [Google Scholar]
  40. Dunford, L.; Carr, M.J.; Dean, J.; Waters, A.; Nguyen, L.T.; Do, H.D.; Thi, T.T.D.; Nguyen, H.T.; Do, T.T.D.; Luu, Q.P.; et al. Hepatitis C virus in Vietnam: High prevalence of infection in dialysis and multi-transfused patients involving diverse and novel virus variants. PLoS ONE 2012, 7, e41266. [Google Scholar] [CrossRef]
  41. Dunford, L.; Carr, M.J.; Dean, J.; Nguyen, L.T.; Thi, T.H.T.; Nguyen, B.T.; Connell, J.; Coughlan, S.; Nguyen, H.T.; Hall, W.W.; et al. A multicentre molecular analysis of hepatitis B and blood-borne virus coinfections in Viet Nam. PLoS ONE 2012, 7, e39027. [Google Scholar]
  42. Telan, E.F.O.; Samonte, G.M.J.; Abellanosa-Tac-An, I.P.; Alesna, E.T.; Leaño, P.S.A.; Emphasis, Y.E.E.; Tsuneki, A.; Matsumoto, K.; Kageyama, S. The early phase of an HIV epidemic in a population exposed previously to HCV in the Philippines. J. Med. Virol. 2011, 83, 941–947. [Google Scholar] [CrossRef] [PubMed]
  43. McFall, A.M.; Solomon, S.S.; Lucas, G.M.; Celentano, D.D.; Srikrishnan, A.K.; Kumar, M.S.; Mehta, S.H. Epidemiology of HIV and hepatitis C infection among women who inject drugs in Northeast India: A respondent-driven sampling study. Addiction 2017, 112, 1480–1487. [Google Scholar] [CrossRef] [PubMed]
  44. Gupta, D.; Saha, K.; Biswas, A.; Firdaus, R.; Ghosh, M.; Sadhukhan, P.C. Recombination in hepatitis C virus is not uncommon among people who inject drugs in Kolkata, India. Infect. Genet. Evol. 2017, 48, 156–163. [Google Scholar] [CrossRef]
  45. Solomon, S.S.; Srikrishnan, A.K.; McFall, A.M.; Kumar, M.S.; Saravanan, S.; Balakrishnan, P.; Solomon, S.; Thomas, D.L.; Sulkowski, M.S.; Mehta, S.H. Burden of liver disease among community-based people who inject drugs (PWID) in Chennai, India. PLoS ONE 2016, 11, e0147879. [Google Scholar] [CrossRef]
  46. Hsieh, M.H.; Hsieh, M.Y.; Huang, C.F.; Yeh, M.L.; Wang, S.C.; Yang, J.F.; Chang, K.; Lin, W.R.; Lin, C.Y.; Chen, T.C.; et al. Anti-HIV seropositivity was related to HBsAg seropositivity among injecting drug users in Taiwan. Kaohsiung J. Med. Sci. 2016, 32, 96–102. [Google Scholar]
  47. Li, L.; Assanangkornchai, S.; Duo, L.; McNeil, E.; Li, J. Risk behaviors, prevalence of HIV and hepatitis C virus infection and population size of current injection drug users in a China-Myanmar border city: Results from a Respondent-Driven Sampling Survey in 2012. PLoS ONE 2014, 9, e106899. [Google Scholar] [CrossRef]
  48. Ramezani, A.; Amirmoezi, R.; Volk, J.E.; Aghakhani, A.; Zarinfar, N.; McFarland, W.; Banifazl, M.; Mostafavi, E.; Eslamifar, A.; Sofian, M. HCV, HBV, and HIV seroprevalence, coinfections, and related behaviors among male injection drug users in Arak, Iran. AIDS Care 2014, 26, 1122–1126. [Google Scholar] [CrossRef] [PubMed]
  49. Javadi, A.; Ataei, B.; Kassaian, N.; Nokhodian, Z.; Yaran, M. Co-infection of human immunodeficiency virus, hepatitis C and hepatitis B virus among injection drug users in Drop in centers. J. Res. Med. Sci. 2014, 19 (Suppl. S1), S17–S21. [Google Scholar] [PubMed]
  50. Hsieh, M.H.; Tsai, J.J.; Hsieh, M.Y.; Huang, C.F.; Yeh, M.L.; Yang, J.F.; Chang, K.; Lin, W.R.; Lin, C.Y.; Chen, T.C.; et al. Hepatitis C virus infection among injection drug users with and without human immunodeficiency virus co-infection. PLoS ONE 2014, 9, e94791. [Google Scholar] [CrossRef] [PubMed]
  51. Chalana, H.; Singh, H.; Sachdeva, J.K.; Sharma, S. Seroprevalence of human immunodeficiency virus, hepatitis B surface antigen, and hepatitis C in substance dependents admitted in a tertiary hospital at Amritsar, India. Asian J. Psychiatry 2013, 6, 552–555. [Google Scholar] [CrossRef]
  52. Basu, D.; Kumar, V.; Sharma, A.K.; Barnwal, P.K.; Mattoo, S.K. Seroprevalence of anti-hepatitis C virus (anti-HCV) antibody and HCV-related risk in injecting drug users in northern India: Comparison with non-injecting drug users. Asian J. Psychiatry 2013, 6, 52–55. [Google Scholar] [CrossRef] [PubMed]
  53. Min, J.A.; Yoon, Y.; Lee, H.J.; Choi, J.; Kwon, M.; Kim, K.; Lee, C.; Kim, D.; Yun, H. Prevalence and associated clinical characteristics of hepatitis B, C, and HIV infections among injecting drug users in Korea. J. Med. Virol. 2013, 85, 575–582. [Google Scholar] [CrossRef] [PubMed]
  54. Alipour, A.; Haghdoost, A.A.; Sajadi, L.; Zolala, F. HIV prevalence and related risk behaviours among female partners of male injecting drugs users in Iran: Results of a bio-behavioural survey, 2010. Sex. Transm. Infect. 2013, 89 (Suppl. S3), iii41–iii44. [Google Scholar] [CrossRef] [PubMed]
  55. Yen, Y.F.; Yen, M.Y.; Su, L.W.; Li, L.H.; Chuang, P.; Jiang, X.R.; Deng, C.Y. Prevalences and associated risk factors of HCV/HIV co-infection and HCV mono-infection among injecting drug users in a methadone maintenance treatment program in Taipei, Taiwan. BMC Public Health 2012, 12, 1066. [Google Scholar] [CrossRef]
  56. Sofian, M.; Aghakhani, A.; Banifazl, M.; Azadmanesh, K.; Farazi, A.-A.; McFarland, W.; Eslamifar, A.; Ramezani, A. Viral hepatitis and HIV infection among injection drug users in a central Iranian City. J. Addict. Med. 2012, 6, 292–296. [Google Scholar] [CrossRef]
  57. Davoodian, P.; Dadvand, H.; Mahoori, K.; Amoozandeh, A.; Salavati, A. Prevalence of selected sexually and blood-borne infections in Injecting drug abuser inmates of bandar abbas and roodan correction facilities, Iran, 2002. Braz. J. Infect. Dis. 2009, 13, 356–358. [Google Scholar] [CrossRef]
  58. Solomon, S.S.; Srikrishnan, A.K.; Mehta, S.H.; Vasudevan, C.K.B.; Murugavel, K.G.; Thamburaj, E.M.; Anand, S.B.; Kumar, M.S.M.; Latkin, C.; Solomon, S.; et al. High prevalence of HIV, HIV/hepatitis C virus coinfection, and risk behaviors among injection drug users in Chennai, India: A cause for concern. J. Acquir. Immune Defic. Syndr. 2008, 49, 327–332. [Google Scholar] [CrossRef]
  59. Malekinejad, M.; Navadeh, S.; Lotfizadeh, A.; Rahimi-Movaghar, A.; Amin-Esmaeili, M.; Noroozi, A. High hepatitis C virus prevalence among drug users in Iran: Systematic review and meta-analysis of epidemiological evidence (2001–2012). Int. J. Infect. Dis. 2015, 40, 116–130. [Google Scholar] [CrossRef]
  60. Rahman, M.; Hossain, M.E.; Afrad, M.H.; Hasan, R.; Rahman, M.; Sarker, S.; Azim, T. Hepatitis C virus infections among clients attending an HIV testing and counseling center in Dhaka, Bangladesh. J. Med. Virol. 2018, 90, 383–387. [Google Scholar] [CrossRef]
  61. Sharhani, A.; Mehrabi, Y.; Noroozi, A.; Nasirian, M.; Higgs, P.; Hajebi, A.; Hamzeh, B.; Khademi, N.; Noroozi, M.; Shakiba, E.; et al. Hepatitis C virus seroprevalence and associated risk factors among male drug injectors in Kermanshah, Iran. Hepat. Mon. 2017, 17, e58739. [Google Scholar] [CrossRef]
  62. Kermode, M.; Nuken, A.; Medhi, G.K.; Akoijam, B.S.; Sharma, H.U.; Mahanta, J. High burden of hepatitis C & HIV co-infection among people who inject drugs in Manipur, Northeast India. Indian J. Med. Res. 2016, 143, 348–356. [Google Scholar] [PubMed]
  63. Goswami, P.; Medhi, G.K.; Armstrong, G.; Setia, M.S.; Mathew, S.; Thongamba, G.; Ramakrishnan, L.; George, B.; Singh, R.K.; Paranjape, R.S.; et al. An assessment of an HIV prevention intervention among People Who Inject Drugs in the states of Manipur and Nagaland, India. Int. J. Drug Policy 2014, 25, 853–864. [Google Scholar] [CrossRef] [PubMed]
  64. Ghosh, I.; Ghosh, P.; Bharti, A.C.; Mandal, R.; Biswas, J.; Basu, P. Prevalence of human papillomavirus and co-existent sexually transmitted infections among female sex workers, men having sex with men and injectable drug abusers from eastern India. Asian Pac. J. Cancer Prev. 2012, 13, 799–802. [Google Scholar] [CrossRef] [PubMed]
  65. Mahanta, J.; Borkakoty, B.; Das, H.K.; Chelleng, P.K. The risk of HIV and HCV infections among injection drug users in northeast India. AIDS Care 2009, 21, 1420–1424. [Google Scholar] [CrossRef] [PubMed]
  66. 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. [Google Scholar] [CrossRef]
  67. Jindal, N.; Arora, U.; Singh, K. Prevalence of human immunodeficiency virus (HIV), hepatitis B virus, and hepatitis C virus in three groups of populations at high risk of HIV infection in Amritsar (Punjab), Northern India. Jpn. J. Infect. Dis. 2008, 61, 79–81. [Google Scholar] [CrossRef]
  68. Liu, W.; Hai, T.; Li, X.Y. Seroepidemiological investigation of HBV and HCV among drug users in Yinin. Chin. Acad. J. Public Health 1997, 16, 363. (In Chinese) [Google Scholar]
  69. Zuo, H. A cross-sectional survey of HIV and HCV prevalence among drug users in detoxification centre of Urumchi railway station. J. Chin. AIDS/STD 2000, 6, 376. (In Chinese) [Google Scholar]
  70. Ma, X.M.; Amanguli, A.; Wang, X. Analysis of TTV, HBV and HCV infections in intravenous drug users in Xinjiang. J. Xinjiang Med. Univ. 2004, 27, 125–127. (In Chinese) [Google Scholar]
  71. Wang, L.; Yang, J.S. Study on infection with hepatitis B and C virus among incarcerated intravenous heroin users. Endem. Dis. Bull. 2004, 19, 68–69. [Google Scholar]
  72. Li, D.; Zheng, X.; Zhang, G. Prevalence of HIV and HCV among injecting drug users (IDUs) in Yunnan, China. Zhonghua Liu Xing Bing Xue Za Zhi 1994, 15, 74–75. [Google Scholar] [PubMed]
  73. Gu, X.H.; Gao, L.X.; Liu, F.H.; Pan, C.Z.; Li, C.Y.; Yang, Y.M. HCV infection and genotype of intravenous drug users. Chin. J. Infect. Dis. 1995, 13, 228–229. [Google Scholar]
  74. Kong, J.X.; Tong, L.; Tang, B.Z.; Pan, C.Z.; Zhang, Y.Z. Survey of HBV, HCV infection in drug users in Kunming. Med. Pharm. Yunnan 1995, 16, 45–46. [Google Scholar]
  75. Zhou, W.Z.; Wang, X.Y.; Wei, T. Investigation on the rates of HAV, HBV, HCV infection in heroin addicts. Chin. J. Drug Depend. 1995, 4, 25–26. [Google Scholar]
  76. Chen, G.L.; Wei, T.; Li, G.L. Coinfection with HCV and HIV among 37 injecting drug abusers. Chin. J. Drug Abus. Prev. Treat. 2000, 5, 28–30. [Google Scholar]
  77. Yang, Y.F.; Wang, J.Y.; Zhuang, H.; Ling, B.H.; Jin, L. Study on HBV, HCV and HGV infection in injecting drug users. Chin. J. Exp. Clin. Virol. 2000, 14, 23. [Google Scholar]
  78. Zhang, Z.X.; Zhu, L.F.; Cheng, L.X.; Sha, L.J. Epidemiological survey of heroin addicts infected by HCV and HBV. Chin. J. Drug Depend. 2000, 9, 144–146. [Google Scholar]
  79. Jiang, Z.L.; Guo, Y.H.; Li, Y.P.; Yang, H.; Yao, Z.P. The analysis of HCV and HIV infections in 176 heroin addicts. Chin. Mag. Drug Abuse Prev. Treat. 2003, 9, 23–25. [Google Scholar]
  80. Li, J.R.; Gong, S.Y.; Sun, H.; Guan, W.X.; Huang, H.J. Relationship between T cell subgroups and HCV infection in intravenous drug addicts. Chin. J. Infect. Dis. 2004, 22, 413–414. [Google Scholar]
  81. Liu, Y.; Zhuang, Y.; Ou, Y.Z. Survey of HCV prevalence among drug addicts in Guiyang. Chin. J. Public Health 1997, 16, 156. [Google Scholar]
  82. Yang, J.; Ding, J.J.; Li, Y.Y. Co-infection with HCV and HGV among 107 injection drug users. Chin. J. Prev. Med. 2000, 34, 85. [Google Scholar]
  83. Zhuang, Y.; Hu, L.J.; Cai, X.H. A cross-sectional survey of HCV prevalence among injection drug users in a detoxification centre in Guiyang. Guizhou Med. J. 2000, 24, 573. [Google Scholar]
  84. He, J.; Li, X.X.; Long, Z.Y.; Yang, Y.X.; Huang, J.M.; Zhang, S. Analysis of HCV infection in 183 heroin addicts. Chin. J. Drug Abus. Prev. Treat. 2006, 12, 224–225. [Google Scholar]
  85. Fang, Y.F.; Chen, S.; Wang, Y.M.; Li, C.M. Survey of HCV infection in intravenous drug abusers in Chongqing. Chin. J. Drug Depend. 2002, 10, 220–222. [Google Scholar]
  86. Mou, Q.; Li, X.Y. Analysis of infection with hepatitis C virus in 767 heroin addicts. Chin. J. Drug Abus. Prev. Treat. 2001, 6, 17. [Google Scholar]
  87. Yang, T.L.; Xu, Y.C.; Hu, X.H. Seroepidemiological survey of HIV, HBV and HCV infection among drug users in Xichang. J. Prev. Med. Inform. 2001, 17, 170–171. [Google Scholar]
  88. Ruan, Y.H.; Hong, K.X.; Liu, S.Z.; He, Y.X.; Zhou, F.; Qin, G.M. Community-based survey of HCV and HIV coinfection in injection drug abusers in Sichuan Province of China. World J. Gastroenterol. 2004, 10, 1589–1593. [Google Scholar] [CrossRef]
  89. Zhang, C.T.; Wei, D.Y.; Li, X.H. Investigation on infection status of HIV and HCV in drug users in Liangshan Area. Chin. Public Health 2005, 21, 1287–1288. [Google Scholar]
  90. Xie, L.Z.; Chen, X.; Hu, W.; Bian, H.Z.; Liu, L.; Xing, Z.H. Investigation into the relationship between the high risk behavior of drug abusing population and HCV infection. Chin. Trop. Med. 2006, 6, 1140–1142. [Google Scholar]
  91. Tang, X.X.; Yuan, D.F.; Li, L.H. Report of anti-HCV test result and analysis of 200 heroin addicts. J. Branch Campus First Milit. Med. 1994, 17, 75–78. [Google Scholar]
  92. Shi, X.C.; Liu, J.B.; Cao, Z.W.; Tan, L.X. Seroepidemiological survey of HCV infection among different populations in Guangdong. Chin. Public Health 1998, 14, 8–9. [Google Scholar]
  93. Wan, P.; Qiu, S.F.; Li, W.; Zeng, D.X. Infections with hepatitis B and C virus in 325 drug addicts. Chin. J. Exp. Clin. Virol. 1997, 11, 90. [Google Scholar]
  94. Yan, J.; Zeng, C.H.; Lin, P.; Li, H.; Xi, H.F. Relationship between methods of drug use and infections with HIV, HCV and syphilis among drug abusers in Guangdong. Chin. J. Prev. Control STD AIDS 1997, 3, 254–255. [Google Scholar]
  95. Mai, H.M.; Zhang, Y.P.; Song, A.H. Infections with HBV and HCV in 219 heroin addicts. Guangdong J. Health Epidemiol. Prev. 1999, 25, 29–30. [Google Scholar]
  96. Wei, L.P.; Zhou, M.; Zhou, D.R.; Zhong, H.B. Relationship between methods of drug use and infections with HIV, HBV, HDV and HGV among heroin abusers. Chin. Public Health 1999, 15, 413–414. [Google Scholar]
  97. Yang, Y.; Zhang, G.Q.; Chen, S.D.; Wu, B.W. A study on the risk factors for hepatitis C virus infection among drug users. Chin. Public Health 1999, 15, 495–496. [Google Scholar]
  98. Hu, C.Z.; Ge, B.L.; Li, G. Prevalence of HBV, HCV and HGV infection in 120 intravenous drug abusers in Jiangmen City. J. Clin. Hepatol. 2000, 5, 21–23. [Google Scholar]
  99. Gu, Y.C.; Wu, B.Y.; Li, G.J.; Luo, X.M.; Gao, S.Z. Drug-using behavior and infections with HIV, HBV, HCV and syphilis among 317 drug users. South China J. Prev. Med. 2002, 28, 26. [Google Scholar]
  100. Huang, H.Y.; Zhang, P.; Li, L. Analysis of co-infection of HIV with hepatitis virus among intravenous drug users. Chin. Public Health 2003, 19, 191–192. [Google Scholar]
  101. Chen, Y.; Lian, W.; Chen, J.L.; Cao, X.J. An analysis of HCV infection and ALT alteration in intravenous drug addicts in Zhanjiang City. Prac. Prev. Med. 2004, 11, 483–484. [Google Scholar]
  102. Li, W.J.; Fan, Z.F.; Lin, P.; Wang, Y.; Yan, J.; Mai, R.J. A survey of HIV and HCV infections and related knowledge and behavior among drug abusers in Yangjiang City. South China J. Prev. Med. 2004, 30, 17–19. [Google Scholar]
  103. Wang, L.R.; Chen, J.L.; Chen, Y.; Li, S.H. Prevalence of HBV and HCV infections and ALT elevation in drug users. Chin. J. Misdiagnost. 2004, 4, 675–677. [Google Scholar]
  104. Tang, W.H.; Liang, X.X.; Lin, C.L.; Gu, Z.L. Analysis of abnormal infection in 210 heroin dependents. Milit. Med. J. South China 1996, 10, 363–364. [Google Scholar]
  105. Bi, F.H. Serological survey of HCV of 77 drug addicts. Guangxi J. Prev. Med. 1998, 4, 91. [Google Scholar]
  106. Lin, H. The analysis of HCV infection in 111 heroin addicts. Chin. J. Drug Abus. Prev. Treat. 1999, 4, 26–28. [Google Scholar]
  107. Wu, C.Y.; Huang, Q.C.; Hou, D.Y. A study on infection of HCV among drug users, persons with sex-related crimes and errors and general population. Mod. Prev. Med. 1999, 26, 82–83. [Google Scholar]
  108. Liang, Y.J.; Chen, Y.H.; Wei, Q.Y.; Lu, Y. A study on infection of hepatitis virus among intravenous drug users in Liuzhou City. J. Guangxi Med. Univ. 2000, 17, 342–343. [Google Scholar]
  109. Garten, R.J.; Lai, S.; Zhang, J.; Liu, W.; Chen, J.; Vlahov, D. Rapid transmission of hepatitis C virus among young injecting heroin users in Southern China. Int. J. Epidemiol. 2004, 33, 182–188. [Google Scholar]
  110. Wang, M.; Du, J.W.; Huang, H.Z.; Chen, Y.B. Analysis on investigation between methods of drug use and infection of HIV, HCV, HBV and syphilis of drug addicts of Hainan Province. Chin. Public Health 2000, 16, 854–855. [Google Scholar]
  111. Yang, Q.X. Causal analysis of intravenous drug use of 97 heroin dependents. Hainan Med. J. 2000, 11, 76. [Google Scholar]
  112. Tang, W.F.; Tang, L.; Chen, Z.D.; He, H.; Yang, J.H. Seroepidemiological survey of HIV and HCV among 597 drug users. Hubei J. Prev. Med. 2000, 11, 19. [Google Scholar]
  113. Deng, L.P.; Gui, X.E.; Wang, X.; Luo, J.L. A survey of HIV, HBV, HCV, HGV and TTV infections among drug abusers in Hubei Province. Hubei J. Prev. Med. 2003, 14, 1–2. [Google Scholar]
  114. Zhao, M.; Wu, D.R.; Yang, D.S.; Hao, W.; He, Y.; Li, P. HBV and HCV infections in heroin addicts. Chin. Ment. Health J. 1999, 13, 98–100. [Google Scholar]
  115. Peng, D.S.; Fang, K.M.; Wang, H.H.; Wu, R.M.; Zhang, D.Q.; Li, S.X. Epidemiological survey of four blood transmitting infections among injection drug takers in Yueyang City. Prac. Prev. Med. 2006, 13, 336–337. [Google Scholar]
  116. He, B.; Huang, P.; Jiang, X.Y.; Yang, C.Y. HCV infection in 9 heroin addicts. Chin. J. Drug Abus. Prev. Treat. 2004, 10, 222–223. [Google Scholar]
  117. Hu, W.H.; Zhao, M.; Lu, G.H.; Xu, L.Y. A study on hepatitis B and C virus infection and liver function abnormalities in heroin addicts. Chin. Mag. Drug Abus. Prev. Treat. 2003, 9, 7–9. [Google Scholar]
  118. Zhao, M.; Wang, Q.Y.; Lu, G.H.; Xu, P.; Xu, H.; McCoy, C.B. Risk behaviors and HIV/AIDS prevention education among IDUs in drug treatment in Shanghai. J. Urban Health 2005, 82, v84–v91. [Google Scholar] [CrossRef]
  119. Zhao, M.; Du, J.; Lu, G.H.; Wang, Q.Y.; Xu, H.; Zhu, M.; McCoy, C.B. HIV sexual risk behaviors among injection drug users in Shanghai. Drug Alcohol Depend. 2006, 82 (Suppl. S1), S43–S47. [Google Scholar] [CrossRef]
  120. Yin, J. Infection with HBV and HCV among intravenous drug addicts. Acta Nanjing Med. Univ. 1999, 19, 166. [Google Scholar]
  121. Gao, Q.M. Infections with HBV and HCV in 120 heroin addicts. Jiangsu Prev. Med. 2001, 12, 16–17. [Google Scholar]
  122. Ji, X.S.; Lu, W.M.; He, J.H.; Ding, M.J. Survey of HIV, HBV and HCV infection among STD patients and drug users. J. Prev. Med. Inform. 2001, 17, 59. [Google Scholar]
  123. Zhu, B.; Wu, N.P.; Wu, L.J.; Fang, J. The serological study on HIV, HBV and HCV in drug addicts of Zhejiang, China. Chin. Public Health 1999, 15, 415–416. [Google Scholar]
  124. Chen, Z.J.; Zhang, L.H.; Xin, L.J.; Jiang, T.Y. The study of HCV and HIV infections among heroin addicts. Chin. J. Lab. Med. 2003, 26, 270–272. [Google Scholar]
  125. Zhou, Z.M.; Lin, D.; Pan, F.F.; Tan, Y.X.; Wen, H.J.; Liao, X.W. Infection of diseases transmitted through blood of venous drug addicts. Dis. Surveill. 2004, 19, 412–414. [Google Scholar]
  126. Li, Z.H.; Tang, Y.X.; Wang, Y.; Wei, X.H. The analysis of HCV infection in 327 heroin addicts. Chin. J. Drug Abus. Prev. Treat. 2005, 11, 153–154. [Google Scholar]
  127. Wang, N.C.; Qiao, X.C.; Zhang, L.F.; Liu, Y.P.; Wu, L.P. Seroepidemiology of HCV infection among different populations in Shanxi. Chin. Public Health 2001, 17, 703. [Google Scholar]
  128. Zhang, X.L.; Xie, Z.L.; Mei, L. Analysis on HBV and HCV infection among drug users in Taiyuan. Dis. Surveill. 2002, 17, 211. [Google Scholar]
  129. Wang, Y.F. Analysis of HAV, HBV and HCV infection in 386 heroin addicts. Chin. J. Drug Depend. 2002, 11, 62–63. [Google Scholar]
  130. Guo, R.Q.; Chang, Y.L.; Kong, Y.; Xu, B.S. The analysis of HCV infection among 1000 heroin addicts. Chin. J. Drug Depend. 2003, 12, 132–134. [Google Scholar]
  131. Zhang, M.Y.; Wu, Z.Y.; Ming, Z.Q.; Gu, M.; Wu, J.L.; Mi, G.D. Study of hepatitis C virus infection rate and its risk factors among injecting drug users in Beijing, China. Chin. J. Dis. Control Prev. 2006, 10, 139–141. [Google Scholar]
  132. Jiang, Y.J.; Shang, H.; Wang, Y.N.; Zhao, M.; Cao, J.J.; Lu, C.M. Investigation of HIV, syphilis and hepatitis virus among high risk populations in Shenyang. J. Chin. AIDS/STD 2002, 8, 42–44. [Google Scholar]
  133. Yuen, M.F.; Wong, D.K.H.; Lee, C.K.; Tanaka, Y.; Allain, J.P.; Fung, J.; Leung, J.; Lin, C.K.; Sugiyama, M.; Sugauchi, F.; et al. Transmissibility of hepatitis B virus (HBV) infection through blood transfusion from blood donors with occult HBV infection. Clin. Infect. Dis. 2011, 52, 624–632. [Google Scholar] [CrossRef] [PubMed]
  134. Calvaruso, V.; Ferraro, D.; Licata, A.; Bavetta, M.G.; Petta, S.; Bronte, F.; Colomba, G.; Craxì, A.; Di Marco, V. HBV reactivation in patients with HCV/HBV cirrhosis on treatment with direct-acting antivirals. J. Viral Hepat. 2018, 25, 72–79. [Google Scholar] [CrossRef]
  135. Bhattarai, M.; Baniya, J.B.; Aryal, N.; Shrestha, B.; Rauniyar, R.; Adhikari, A.; Koirala, P.; Oli, P.K.; Pandit, R.D.; Stein, D.A.; et al. Epidemiological profile and risk factors for acquiring HBV and/or HCV in HIV-infected population groups in Nepal. BioMed Res. Int. 2018, 2018, 9241679. [Google Scholar] [CrossRef] [PubMed]
  136. Cotler, S.J.; Cotler, S.; Xie, H.; Luc, B.J.; Layden, T.J.; Wong, S.S. Characterizing hepatitis B stigma in Chinese immigrants. J. Viral Hepat. 2012, 19, 147–152. [Google Scholar] [CrossRef] [PubMed]
  137. Li, D.; Tang, T.; Patterson, M.; Ho, M.; Heathcote, J.; Shah, H. The impact of hepatitis B knowledge and stigma on screening in Canadian Chinese persons. Can. J. Gastroenterol. 2012, 26, 597–602. [Google Scholar] [CrossRef] [PubMed]
  138. Huong, N.T.C.; Trung, N.Q.; Luong, B.A.; Tram, D.B.; Vu, H.A.; Bui, H.H.; Le, H.P.T. Mutations in the HBV PreS/S gene related to hepatocellular carcinoma in Vietnamese chronic HBV-infected patients. PLoS ONE 2022, 17, e0266134. [Google Scholar] [CrossRef]
  139. Ghosh, S.; Banerjee, P.; Deny, P.; Mondal, R.K.; Nandi, M.; RoyChoudhury, A.; Das, K.; Banerjee, S.; Santra, A.; Zoulim, F.; et al. New HBV subgenotype D9, a novel D/C recombinant, identified in patients with chronic HBeAg-negative infection in Eastern India. J. Viral Hepat. 2013, 20, 209–218. [Google Scholar] [CrossRef] [PubMed]
  140. Ismail, H.; Ahmad, H.; Sanef, A.; Shahabudin, W.; Reffin, N.; Chan, D.; Dawam, D.; Hanan, F.; Nordin, M.; Sahar, L.; et al. The rising threat of illicit amphetamine-type stimulant use among methadone maintenance treatment patients in East Coast Malaysia: A retrospective observational study. Am. J. Drug Alcohol. Abuse 2023, 49, 97–108. [Google Scholar] [CrossRef]
  141. Rumi, M. Prevalence of infectious diseases and drug abuse among Bangladeshi workers. Southeast Asian J. Trop. Med. Public Health 2000, 31, 571–574. [Google Scholar]
  142. Yeekian, C.; Geratikornsupak, N.; Chumpongthong, P.; Tongsiri, S.; Dhitavat, J.; Phonrat, B.; Pitisuttithum, P. Medical and economic burden of chronic hepatitis B patients at Queen Savang Vadhana Memorial Hospital. J. Med. Assoc. Thai 2014, 97, 447–455. Available online: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902285661&partnerID=40&md5=5805f369885db943cc3d763350070eea (accessed on 29 January 2025). [PubMed]
  143. Sangmala, P.; Chaikledkaew, U.; Tanwandee, T.; Pongchareonsuk, P. Economic evaluation and budget impact analysis of the surveillance program for hepatocellular carcinoma in Thai chronic hepatitis B patients. Asian Pac. J. Cancer Prev. 2014, 15, 8993–9004. [Google Scholar] [CrossRef] [PubMed]
  144. McDonald, S.A.; Azzeri, A.; Shabaruddin, F.H.; Dahlui, M.; Tan, S.S.; Kamarulzaman, A.; Mohamed, R. Projections of the healthcare costs and disease burden due to hepatitis C infection under different treatment policies in Malaysia, 2018–2040. Appl. Health Econ. Health Policy 2018, 16, 847–857. [Google Scholar] [CrossRef]
  145. Tessema, B.; Yismaw, G.; Kassu, A.; Amsalu, A.; Mulu, A.; Emmrich, F.; Sack, U. Seroprevalence of HIV, HBV, HCV and syphilis infections among blood donors at Gondar University Teaching Hospital, Northwest Ethiopia: Declining trends over a period of five years. BMC Infect. Dis. 2010, 10, 111. [Google Scholar] [CrossRef]
  146. Aluora, P.O.; Muturi, M.W.; Gachara, G. Seroprevalence and genotypic characterization of HBV among low risk voluntary blood donors in Nairobi, Kenya. Virol. J. 2020, 17, 176. [Google Scholar] [CrossRef] [PubMed]
  147. Pondé, R.A.A. Molecular mechanisms underlying HBsAg negativity in occult HBV infection. Eur. J. Clin. Microbiol. Infect. Dis. 2015, 34, 1709–1731. [Google Scholar] [CrossRef] [PubMed]
  148. Caviglia, G.P.; Abate, M.L.; Tandoi, F.; Ciancio, A.; Amoroso, A.; Salizzoni, M.; Saracco, G.M.; Rizzetto, M.; Romagnoli, R.; Smedile, A. Quantitation of HBV cccDNA in anti-HBc-positive liver donors by droplet digital PCR: A new tool to detect occult infection. J. Hepatol. 2018, 69, 301–307. [Google Scholar] [CrossRef] [PubMed]
  149. Lang-Meli, J.; Neumann-Haefelin, C.; Thimme, R. Immunotherapy and therapeutic vaccines for chronic HBV infection. Curr. Opin. Virol. 2021, 51, 149–157. [Google Scholar] [CrossRef]
  150. Qin, Y.; Liao, P. Hepatitis B virus vaccine breakthrough infection: Surveillance of S gene mutants of HBV. Acta Virol. 2018, 62, 115–121. [Google Scholar] [CrossRef]
  151. Lai, M.W.; Lin, T.Y.; Tsao, K.C.; Huang, C.; Hsiao, M.; Liang, K.; Yeh, C. Increased seroprevalence of HBV DNA with mutations in the s gene among individuals greater than 18 years old after complete vaccination. Gastroenterology 2012, 143, 400–407. [Google Scholar] [CrossRef]
  152. Mastrodomenico, M.; Muselli, M.; Provvidenti, L.; Scatigna, M.; Bianchi, S.; Fabiani, L. Long-term immune protection against HBV: Associated factors and determinants. Hum. Vaccines Immunother. 2021, 17, 2268–2272. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Summary of the studies selection and screening process.
Figure 1. Summary of the studies selection and screening process.
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Figure 2. Forest plot showing the pooled prevalence of HBV among drug users in Asia [10,22,32,36,37,38,39,41,46,48,49,50,51,53,56,57,58,63,64,65,66,67].
Figure 2. Forest plot showing the pooled prevalence of HBV among drug users in Asia [10,22,32,36,37,38,39,41,46,48,49,50,51,53,56,57,58,63,64,65,66,67].
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Figure 3. Funnel plot showing publication bias of the pooled prevalence of HBV among drug users in Asia. Egger’s p = 0.0145.
Figure 3. Funnel plot showing publication bias of the pooled prevalence of HBV among drug users in Asia. Egger’s p = 0.0145.
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Figure 4. Pooled prevalence of HCV among drug users in Asia [8,9,10,31,33,34,35,36,39,42,43,44,45,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132].
Figure 4. Pooled prevalence of HCV among drug users in Asia [8,9,10,31,33,34,35,36,39,42,43,44,45,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132].
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Figure 5. Funnel plot of HCV among drug users in Asia. Egger’s p = 0.136.
Figure 5. Funnel plot of HCV among drug users in Asia. Egger’s p = 0.136.
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Figure 6. Subgroup meta-analysis of the prevalence of HBV among drug users in ASIA in relation to country [10,22,32,36,37,38,39,46,48,49,50,51,56,57,58,63,64,65,66,67].
Figure 6. Subgroup meta-analysis of the prevalence of HBV among drug users in ASIA in relation to country [10,22,32,36,37,38,39,46,48,49,50,51,56,57,58,63,64,65,66,67].
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Figure 7. Subgroup meta-analysis of the pooled prevalence of HBV among drug users in Asia in relation to study design [10,22,32,36,37,38,39,41,46,48,49,53,56,57,58,63,64,65,66,67].
Figure 7. Subgroup meta-analysis of the pooled prevalence of HBV among drug users in Asia in relation to study design [10,22,32,36,37,38,39,41,46,48,49,53,56,57,58,63,64,65,66,67].
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Figure 8. Subgroup meta-analysis of the pooled prevalence of HBV among drug users in Asia in relation to method of detection [10,22,32,36,37,38,39,41,48,49,50,51,53,56,57,58,63,64,65,66,67].
Figure 8. Subgroup meta-analysis of the pooled prevalence of HBV among drug users in Asia in relation to method of detection [10,22,32,36,37,38,39,41,48,49,50,51,53,56,57,58,63,64,65,66,67].
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Figure 9. Subgroup meta-analysis of the pooled prevalence of HBV among drug users in Asia in relation to year of publications [10,22,32,36,37,38,39,41,46,48,49,50,51,53,57,58,63,64,65,66,67].
Figure 9. Subgroup meta-analysis of the pooled prevalence of HBV among drug users in Asia in relation to year of publications [10,22,32,36,37,38,39,41,46,48,49,50,51,53,57,58,63,64,65,66,67].
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Figure 10. Subgroup pooled prevalence of HCV among drug users in Asia inrelation to country [8,9,10,31,32,33,34,35,36,39,42,43,44,45,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132].
Figure 10. Subgroup pooled prevalence of HCV among drug users in Asia inrelation to country [8,9,10,31,32,33,34,35,36,39,42,43,44,45,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132].
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Figure 11. Subgroup meta-analysis of the pooled prevalence of HCV among drug users in relation to study designs [9,10,31,33,34,35,36,39,42,43,44,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132].
Figure 11. Subgroup meta-analysis of the pooled prevalence of HCV among drug users in relation to study designs [9,10,31,33,34,35,36,39,42,43,44,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132].
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Figure 12. Subgroup meta-analysis of the pooled prevalence of HCV among drug users in relation to year of publication [8,9,10,31,33,34,39,42,43,44,45,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,70,71,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132].
Figure 12. Subgroup meta-analysis of the pooled prevalence of HCV among drug users in relation to year of publication [8,9,10,31,33,34,39,42,43,44,45,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,70,71,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132].
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Table 1. Characteristic table of the included studies on the dual burden of Hepatitis B and C among drug users in Asia.
Table 1. Characteristic table of the included studies on the dual burden of Hepatitis B and C among drug users in Asia.
Author’s NameYear of PublicationCountryTotal HBV SampledHBV PositiveTotal HCV SampledHCV PositiveStudy TypesMethod of Detection
Verachai et al. [31]2002ThailandNRNR303124Cross sectionalElisa/PCR
Akthar et al. [22]2015Malaysia66486NRNRRetrospectiveELISA
Zhang et al. [8]2015VietnamNRNR14341273Cross sectionalELISA
Ruslin et al. [32]2001Malaysia13068NRNRRetrospectiveELISA
Duogh et al. [9]2018VietnamNRNR603404RetrospectiveELISA
Ha Thi Tu [33]2009VietnamNRNR455350RetrospectiveELISA
Vu minh et al. [10]2009Vietnam309250309229RetrospectiveELISA
Linh et al. [34]2019VietnamNRNR1886242Cross sectionalELISA
Nicholas et al. [35]2023VietnamNRNR1444875Cross sectionalPCR
Barnaby et al. [36]2022Vietnam7740132154613157RetrospectiveELISA
Ishizak et al. [37]2017Vietnam76081NRNRRetrospectiveELISA
Ishizak et al. (a) [37]2017Vietnam30234NRNRRetrospectiveELISA
Ishizak et al. (b) [37]2017Vietnam38943NRNRRetrospectiveELISA
Desjarlais et al. [38]2016Vietnam603404NRNRRetrospectiveELISA
Prasetyo et al. [39]2013Indonesia37512837512RetrospectiveELISA
Dunford [40]2012VietnamNRNR1000556RetrospectiveELISA
Dunford et al. [41]2012Vietnam1000174NRNRRetrospectiveELISA
Telan et al. [42]2011PhilippinesNRNR6262RetrospectiveELISA
Mcfall et al. [43]2017IndiaNRNR64571901Cross sectionalELISA
Gupta et al. [44] 2017IndiaNRNR19489Cross sectionalPCR
Solomon et al. [45]2016IndiaNRNR1042293Cross sectionalPCR
Hsieh et al. [46]2016Taiwan56687NRNRRetrospectiveElisa/PCR
Lie et al. [47]2014ChinaNRNR370154RetrospectiveELISA
Amitis et al. [48]2014Iran100910056Cross sectionalELISA
Abbasali et al. [49]2014Iran539653971Cross sectionalElisa/PCR
Hsieh et al. [50]2014Taiwan56286562513Cross sectionalElisa/PCR
Chalana et al. [51]2013India118611878Cross sectionalELISA
Basu et al. [52]2012IndiaNRNR10347Cross sectionalELISA
Min et al. [53]2013Korea31821318154RetrospectiveELISA
Alipour et al. [54]2013IranNRNR268102Cross sectionalELISA
Yen et al. [55]2012TaiwanNRNR14471318RetrospectiveELISA
Sofian [56]2012Iran1534615391RetrospectiveELISA
Davoodian et al. [57]2009Iran24912249196Cross sectionalELISA
Solomon et al. [58]2008India912101912566Cross sectionalELISA
Mohesen et al. [59]2015IranNRNR75683406Cross sectionalELISA
Rahman et al. [60]2018BangladeshNRNR9034RetrospectiveELISA
Sharhani et al. [61]2017IranNRNR606332Cross sectionalELISA
Kermode et al. [62]2016IndiaNRNR821307Cross sectionalELISA
Ramenzani et al. [48]2014iran10061006Cross sectionalELISA
Goswami et al. [63]2014India8395183956RetrospectiveELISA
Goswami et al. (a) [63]2014India86092860601RetrospectiveELISA
Goswami et al. (b) [63]2014India82146821121RetrospectiveELISA
Goswami et al. (c) [63]2014India82967829125RetrospectiveELISA
Ghosh et al. [64]2012India582NRNRRetrospectiveELISA
Mahanta et al. [65]2009India39715398190RetrospectiveELISA
Chu et al. [66]2009Taiwan19232192172RetrospectiveELISA
Jindal et al. [67]2008India1572815753RetrospectiveELISA
Liu et al. [68]1997ChinaNRNR8578RetrospectiveELISA
Zuo et al. [69]2000ChinaNRNR6057RetrospectiveELISA
Ma et al. [70]2004ChinaNRNR10270RetrospectiveELISA
Wang et al. [71]2006ChinaNRNR10634RetrospectiveELISA
Li et al. [72]1994ChinaNRNR197187RetrospectiveELISA
Gu et al. [73]1995ChinaNRNR407247RetrospectiveELISA
Kong et al. [74]1995ChinaNRNR14499RetrospectiveELISA
Zhou et al. [75]1995ChinaNRNR5841RetrospectiveELISA
Chen et al. [76]2000ChinaNRNR3727RetrospectiveELISA
Yang et al. [77]2000ChinaNRNR182172RetrospectiveELISA
Zhang et al. [78]2000ChinaNRNR12596RetrospectiveELISA
Jiang et al. [79]2003ChinaNRNR11894RetrospectiveELISA
Li et al. [80]2004ChinaNRNR381261RetrospectiveELISA
Liu et al. [81]1997ChinaNRNR6016RetrospectiveELISA
Yang et al. [82]2000ChinaNRNR10754RetrospectiveELISA
Zhuang et al. [83]2000ChinaNRNR28514RetrospectiveELISA
He et al. [84]2006ChinaNRNR9057RetrospectiveELISA
Fang et al. [85]2001ChinaNRNR284115RetrospectiveELISA
Mou et al. [86]2008ChinaNRNR498133RetrospectiveELISA
Yang et al. [87]2001ChinaNRNR17762RetrospectiveELISA
Ruan et al. [88]2004ChinaNRNR379269RetrospectiveELISA
Zhang et al. [89]2005ChinaNRNR12395RetrospectiveELISA
Xie et al. [90]2006ChinaNRNR370276RetrospectiveELISA
Tang et al. [91]1994ChinaNRNR5325RetrospectiveELISA
Shi et al. [92]1994ChinaNRNR12179RetrospectiveELISA
Wan et al. [93]1997ChinaNRNR11927RetrospectiveELISA
Yan et al. [94]1997ChinaNRNR543398RetrospectiveELISA
Mai et al. [95]1999ChinaNRNR142112RetrospectiveELISA
Wei et al. [96]1999ChinaNRNR8658RetrospectiveELISA
Yang et al. [97]1999ChinaNRNR419320RetrospectiveELISA
Hu et al. [98]2000ChinaNRNR12089RetrospectiveELISA
Gu et al. [99]2002ChinaNRNR205177RetrospectiveELISA
Huang et al. [100]2003ChinaNRNR26401409RetrospectiveELISA
Chen et al. [101]2004ChinaNRNR716289RetrospectiveELISA
Li et al. [102]2004ChinaNRNR235232RetrospectiveELISA
Wang et al. [103]2002ChinaNRNR508294RetrospectiveELISA
Tang et al. [104]1996ChinaNRNR9166RetrospectiveELISA
Bi et al. [105]1998ChinaNRNR7769RetrospectiveELISA
Lin et al. [106]1999ChinaNRNR5839RetrospectiveELISA
Wu et al. [107]1999ChinaNRNR113104RetrospectiveELISA
Liang et al. [108]2000ChinaNRNR208186RetrospectiveELISA
Garten et al. [109]2004ChinaNRNR485402RetrospectiveELISA
Wang et al. [110]2000ChinaNRNR17463RetrospectiveELISA
Yang et al. [111]2000ChinaNRNR9756RetrospectiveELISA
Tang et al. [112] 2000ChinaNRNR480444RetrospectiveELISA
Deng et al. [113]2003ChinaNRNR6248RetrospectiveELISA
Zhao et al. [114]1999ChinaNRNR10234RetrospectiveELISA
Peng et al. [115]2006ChinaNRNR252222RetrospectiveELISA
He et al. [116]2004ChinaNRNR8726RetrospectiveELISA
Hu et al. [117]2003ChinaNRNR27696RetrospectiveELISA
Zhaou et al. [118]2005ChinaNRNR10147RetrospectiveELISA
Zhaou et al. (a) [119]2006ChinaNRNR14173RetrospectiveELISA
Yin et al. [120]1999ChinaNRNR6845RetrospectiveELISA
Gao et al. [121]2001ChinaNRNR6848RetrospectiveELISA
Ji et al. [122]2001ChinaNRNR4015RetrospectiveELISA
Zhu et al. [123]1999ChinaNRNR6414RetrospectiveELISA
Chen et al. [124]2003ChinaNRNR26579RetrospectiveELISA
Zhou et al. [125]2004ChinaNRNR306130RetrospectiveELISA
Li et al. [126]2005ChinaNRNR11471RetrospectiveELISA
Wang et al. [127]2001ChinaNRNR325RetrospectiveELISA
Zhang et al. [128]2002ChinaNRNR5114RetrospectiveELISA
Wang et al. [129]2002ChinaNRNR307149RetrospectiveELISA
Guo et al. [130]2003ChinaNRNR525351RetrospectiveELISA
Zhang et al. [131]2006ChinaNRNR232122RetrospectiveELISA
Jiang et al. [132] 2002ChinaNRNR7150RetrospectiveELISA
Keynote: NR—Not reported.
Table 2. Subgroup meta-analysis of the prevalence of HBV among drug users in ASIA.
Table 2. Subgroup meta-analysis of the prevalence of HBV among drug users in ASIA.
ParameterNo of StudiesPrevalence (%)Confidence Interval (%)QI2Heterogeneity DFp
Country
Malaysia228.75.4–74.090.29598.891<0.001
Vietnam726.613.1–46.41070.99599.446<0.001
Indonesia126.633.0–43.3
Taiwan315.513.7–17.6 0.222020.895
Iran510.55.2–20.254.56192.674<0.001
Korea16.64.3–9.9
India97.75.8–10.258.71986.388<0.001
Study design
Retrospective2116.711.5–23.61613.73798.7620<0.001
Cross-sectional79.57.1–12.526.31277.26<0.001
Method of detection
ELISA2514.314.3–100.01695.5198.5824<0.001
ELISA/PCR314.312.3–16.63.18837.2620.203
Year of publication
2011–20151510.97.8–15.1329.8495.7614<0.001
2001–2005152.343.7–60.7
2006–20106164.3–44.5504.7699.015<0.001
2021–2024117.116.2–17.9
2016–2020519.46.2–46.9582.79599.314<0.001
Table 3. Subgroup analysis of the pooled prevalence of HBV among drug users in relation to country, study designs, and year of publication.
Table 3. Subgroup analysis of the pooled prevalence of HBV among drug users in relation to country, study designs, and year of publication.
ParameterNo of StudiesPrevalence (%)Confidence Interval (%)QI2Heterogeneity DFp
Country
Vietnam763.544.3–79.21606.12699.636<0.001
Thailand140.935.5–46.6 ----
Indonesia13.21.8–5.5----
Philippines199.288.5–100.0----
India1335.826.1–46.91321.08699.0912<0.001
Iran849.339.8–58.8172.60695.947<0.001
China6662.958.0–67.72065.896.8565<0.001
Iran849.339.8–58.8172.60695.947<0.001
Taiwan39189.7–92.10.536020.765
Korea148.443.0–53.9----
Bangladesh137.828.4–48.2----
Study design
Retrospective8360.455.5–65.14343.25898.1182<0.001
Cross-sectional195040.6–59.42751.0199.3518<0.001
Method of detection
ELISA/PCR367.424.8–92.9208.09399.042<0.001
ELISA9658.654.0–63.0 7462.60898.7395<0.001
PRC344.423.1–68.0 245.26799.182<0.001
Year of publication
2001–20104157.149.7–64.54230.88399.0540<0.001
2011–20202847.635.3–59.919,174.39699.8627<0.001
>202025956.3–61.73.69572.9410.055
<20013165.654.1–77.24239.47199.2930<0.001
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Rabaan, A.A.; Bello, K.E.; Radwan, Z.; Hassouneh, A.K.; Alrasheed, H.A.; Alotaibi, J.; Basrana, B.; Zaidan, A.A.; Garout, M.A.; Zaidan, T.I.; et al. The Dual Burden of Hepatitis B and C Among Drug Users in Asia: The First Systematic Review and Meta-Analysis. Pathogens 2025, 14, 360. https://doi.org/10.3390/pathogens14040360

AMA Style

Rabaan AA, Bello KE, Radwan Z, Hassouneh AK, Alrasheed HA, Alotaibi J, Basrana B, Zaidan AA, Garout MA, Zaidan TI, et al. The Dual Burden of Hepatitis B and C Among Drug Users in Asia: The First Systematic Review and Meta-Analysis. Pathogens. 2025; 14(4):360. https://doi.org/10.3390/pathogens14040360

Chicago/Turabian Style

Rabaan, Ali A., Kizito E. Bello, Zaheda Radwan, Amal K. Hassouneh, Hayam A. Alrasheed, Jawaher Alotaibi, Bashayer Basrana, Ali A. Zaidan, Mohammed A. Garout, Tasneem I. Zaidan, and et al. 2025. "The Dual Burden of Hepatitis B and C Among Drug Users in Asia: The First Systematic Review and Meta-Analysis" Pathogens 14, no. 4: 360. https://doi.org/10.3390/pathogens14040360

APA Style

Rabaan, A. A., Bello, K. E., Radwan, Z., Hassouneh, A. K., Alrasheed, H. A., Alotaibi, J., Basrana, B., Zaidan, A. A., Garout, M. A., Zaidan, T. I., Al Amri, K. A., Alshaikh, S. A., Al Alawi, K. H., A. Alalqam, R., Tombuloglu, H., & Bouafia, N. A. (2025). The Dual Burden of Hepatitis B and C Among Drug Users in Asia: The First Systematic Review and Meta-Analysis. Pathogens, 14(4), 360. https://doi.org/10.3390/pathogens14040360

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