Social, Cultural and Economic determinants of HIV/AIDS: A community case report of Bhutan

Background: Bhutan has a low-level HIV epidemic, with sporadic cases across the whole population. Our society is witnessing momentous social and cultural changes coinciding with the arc of the HIV pandemic. Therefore, this paper systematically assesses socio cultural determinants of HIV in Bhutan for appropriate responses to end the AIDS epidemic by 2030. Methods: We reviewed the literature relevant to HIV in Bhutan using appropriate search engines. We adapted Dahlgren and Whitehead’s model of social health determinants in the population as a conceptual framework. Results: Young age played the salient role between rapid sociocultural changes and HIV in Bhutan. Most teens are sexually active, has relaxed sexual norms, low condom use, and has multiple sexual partners. Gender identity and sexual orientation are increasingly fluid among transgender and gay/bisexual men. Worksites with migrants and entertainment venues are nexuses for sexual networking resulting in transactional/sex work. Conclusion: Our findings suggest a high potential for a shift from diffuse cases of HIV to more concentrated HIV epidemic. HIV responses need to be tailored specifically for key populations instead of the current generalized approach. We recommend community-based HIV Self Testing and social support to overcome the structural barriers to enhance case diagnosis.&nbsp

Redefining the Mode of HIV Transmission through Analysis of Risk Attribution among the Reported HIV Cases from 1993 to 2021 in Bhutan

Introduction. The detailed risk assessment of the diagnosed HIV cases in Bhutan is an opportunity to carry out the risk analysis to generate evidence of wherein, under what context, and in which population groups most new infections are occurring. The evidence collected will help to test the current assumption of Bhutan experiencing diffused and generalized HIV epidemic. Methods. This is a cross-sectional study using a quantitative method to assess the risk behavior of the diagnosed HIV cases from 1993 to 2019. The study also included secondary data analysis of those cases already captured by the routine case-based surveillance from 2020 to 2021. The data collection was done from 1 to 30 January 2022 in all the twenty districts of Bhutan. Descriptive statistical analysis was used to analyze the characteristics of the study population, and relationships were established using the Chi-square Test. We have sought ethics approval and obtained participants’ informed consent. Results. The risk attribution analysis showed that 81.94% of HIV infection among the reported HIV cases in Bhutan has occurred through high-risk heterosexuals and 8.88% through mother-to-child transmission, and parenteral transmission accounts for 1.58% and then 1.35% through homosexual. Of the 81.94% high-risk heterosexuals, 41.08% acquired through sex workers and clients of sex workers, 27.99% from HIV-infected persons, 12.64% from sex work, and 0.23% from injecting drug use. Conclusions. This study has shed some light on a gradual epidemic shift from the current perceived diffused and generalized to the concentrated epidemic among subpopulation groups like female sex workers and their clients

Gender and sexual identities of transgender women and men, Bhutan, 2020.

Gender and sexual identities of transgender women and men, Bhutan, 2020.</p

Multivariate analysis: Independent associations with stigma and discrimination experiences of trans men in Bhutan, 2020 (N = 124).

Multivariate analysis: Independent associations with stigma and discrimination experiences of trans men in Bhutan, 2020 (N = 124).</p

Demographic characteristics of trans men in Bhutan, 2020 (N = 124).

Demographic characteristics of trans men in Bhutan, 2020 (N = 124).</p

Population size estimates of transgender women and transgender men in Bhutan, 2020.

Population size estimates of transgender women and transgender men in Bhutan, 2020.</p

Associations with stigma and discrimination among trans men in Bhutan, 2020 (N = 124).

Associations with stigma and discrimination among trans men in Bhutan, 2020 (N = 124).</p

Stigma and discrimination experiences of trans men in Bhutan, 2020 (N = 124).

Stigma and discrimination experiences of trans men in Bhutan, 2020 (N = 124).</p

Global change in hepatitis C virus prevalence and cascade of care between 2015 and 2020: a modelling study

Background Since the release of the first global hepatitis elimination targets in 2016, and until the COVID-19 pandemic started in early 2020, many countries and territories were making progress toward hepatitis C virus (HCV) elimination. This study aims to evaluate HCV burden in 2020, and forecast HCV burden by 2030 given current trends. Methods This analysis includes a literature review, Delphi process, and mathematical modelling to estimate HCV prevalence (viraemic infection, defined as HCV RNA-positive cases) and the cascade of care among people of all ages (age ≥0 years from birth) for the period between Jan 1, 2015, and Dec 31, 2030. Epidemiological data were collected from published sources and grey literature (including government reports and personal communications) and were validated among country and territory experts. A Markov model was used to forecast disease burden and cascade of care from 1950 to 2050 for countries and territories with data. Model outcomes were extracted from 2015 to 2030 to calculate population-weighted regional averages, which were used for countries or territories without data. Regional and global estimates of HCV prevalence, cascade of care, and disease burden were calculated based on 235 countries and territories. Findings Models were built for 110 countries or territories: 83 were approved by local experts and 27 were based on published data alone. Using data from these models, plus population-weighted regional averages for countries and territories without models (n=125), we estimated a global prevalence of viraemic HCV infection of 0·7% (95% UI 0·7–0·9), corresponding to 56·8 million (95% UI 55·2–67·8) infections, on Jan 1, 2020. This number represents a decrease of 6·8 million viraemic infections from a 2015 (beginning of year) prevalence estimate of 63·6 million (61·8–75·8) infections (0·9% [0·8–1·0] prevalence). By the end of 2020, an estimated 12·9 million (12·5–15·4) people were living with a diagnosed viraemic infection. In 2020, an estimated 641000 (623000–765000) patients initiated treatment. Interpretation At the beginning of 2020, there were an estimated 56·8 million viraemic HCV infections globally. Although this number represents a decrease from 2015, our forecasts suggest we are not currently on track to achieve global elimination targets by 2030. As countries recover from COVID-19, these findings can help refocus efforts aimed at HCV elimination