Introduction: The threat of new SARS-CoV-2 variants indicates the need to implement COVID-19 vaccine booster programs. The aim of this study was to identify the level of booster acceptance and its determinants. Methods: A cross-sectional online survey was conducted in Jakarta and Bali, Indonesia. Booster acceptance was divided into three categories: non-acceptor, planned acceptor, and actual acceptor. The primary independent variables were health beliefs, media influence, and trust in authoritative sources. Other covariates included demographics, socioeconomic status, and COVID-19 history. A primary analysis was conducted through multinomial logistic regression. The effects of the hypothetical situations on booster acceptance were tested using the Wilcoxon signed-rank test. Results: The final analysis included 2674 respondents with a booster acceptance rate of 56.3% (41.2% planned acceptors, 15.1% actual acceptors). Health beliefs, social media influence, and trust in authoritative information sources were identified as determinants for planned and actual booster acceptance. Socioeconomic status indicators were also identified as determinants for actual booster acceptance. Booster acceptance was increased in hypothetical scenarios involving booster requirements for work, travel, and accessing public places. Conclusions: Booster acceptance was found to be lower than the predicted primary vaccine acceptance prior to its launch. The acceleration of booster coverage requires strategies that leverage health beliefs and focus on people with a lower socioeconomic status.

Objective: To analyze the correlation between demographic and healthcare availability indicators with COVID-19 outcome among Indonesian provinces.Methods: We employed an ecological study design to study the correlation between demographics, healthcare availability, and COVID-19 indicators. Demographic and healthcare indicators were obtained from the Indonesian Health Profile of 2019 by the Ministry of Health while COVID-19 indicators were obtained from the Indonesian COVID-19 website in August 31st 2020. Non-parametric correlation and multivariate regression analyses were conducted with IBM SPSS 23.0.Results: We found the number of confirmed cases and case growth to be significantly correlated with demographic indicators, especially with distribution of age groups. Confirmed cases and case growth was significantly correlated (p < 0.05) with population density (correlation coefficient of 0.461 and 0.491) and proportion of young people (−0.377; −0.394). Incidence and incidence growth were correlated with ratios of GPs (0.426; 0.534), hospitals (0.376; 0.431), primary care clinics (0.423; 0.424), and hospital beds (0.472; 0.599) per capita. For mortality, case fatality rate (CFR) was correlated with population density (0.390) whereas mortality rate was correlated with ratio of hospital beds (0.387). Multivariate analyses found confirmed case independently associated with population density (β of 0.638) and demographic structure (−0.289). Case growth was independently associated with density (0.763). Incidence growth was independently associated with hospital bed ratio (0.486).Conclusion: Pre-existing inequality of healthcare availability correlates with current reported incidence and mortality rate of COVID-19. Lack of healthcare availability in some provinces may have resulted in artificially low numbers of cases being diagnosed, lower demands for COVID-19 tests, and eventually lower case-findings.

Purpose: We aim to study the level of mental health distress and COVID-19 prevention in practice behaviors among general practitioners (GPs) in Bali, Indonesia, as well as their determinants. Methods: We conducted a cross-sectional online survey. Survey recruitment material was disseminated by purposive snowballing through regional professional association as well as research team’s personal acquaintances. The survey measured mental health status by DASS-21 questionnaire and practice behavior by a questionnaire based on WHO recommendations for hand hygiene and PPE use during the COVID-19 pandemic. We conducted multivariate analyses to identify independent determinants for mental health and practice behavior. Results: Analyses included 635 (41.75%) of GPs in Bali. Mental health status was relatively good with prevalence of depression, anxiety, and stress of 13.2%, 19.7%, and 11% respectively, lower than previous studies in Indonesia and elsewhere. Practice behavior, however, was not considerably lower with only 65.4% and 32.1% reported consistent hand hygiene and recommended PPE use respectively. Routine optional PPE use was reported by 23.6% of respondents. Long working hours and fear of COVID-19 was identified as detrimental to mental health while consistent hand hygiene improved it. Meanwhile, workplace, work setting, and fear of COVID-19, were identified as determinants for PPE use. GPs working in primary health centers and private hospitals were also found to have less adherence to hand hygiene protocols. Conclusion: Our results showed relatively good mental health status along with inadequate infection prevention in practice behavior of GPs in Bali, Indonesia. Intervention should be made to improve practice behavior. Determinants of practice behavior identified in this study could help to pinpoint intervention targets.

Objectives: Human immunodeficiency virus (HIV) prevention among youth seems under-prioritised compared to other key populations. HIV knowledge and stigma are important parts of HIV prevention. To inform HIV prevention among youths, this study quantitatively analysed the associations between open communication regarding sexuality and sexual health, comprehensive HIV knowledge, and non-stigmatising attitudes in Indonesia.Methods: This study used data from the Indonesian Demographic and Health Survey (IDHS) 2017. The analysis included unmarried men and women aged 15-25 years old. Comprehensive HIV knowledge and a stigmatising attitude were defined according to the IDHS 2017. Open communication about sexuality and sexual health was defined as the number of people with whom participants could openly discuss these topics in their direct network of friends, family, and service providers, with a scale ranging from 0 to a maximum of 7. Primary analysis used binomial logistic regression with weighting adjustments.Results: The final analysis included 22 864 respondents. Twenty-two percent of youth had no one in their direct network with whom to openly discuss sexual matters, only 14.1% had comprehensive HIV knowledge, and 85.9% showed stigmatising attitudes. Youth mostly discussed sex with their friends (55.2%), and were less likely to discuss it with family members, showing a predominant pattern of peer-to-peer communication. Multivariate analysis showed that having a larger network for communication about sexuality and sexual health was associated with more HIV knowledge and less stigmatising attitudes.Conclusions: Having more opportunities for open sex communication in one’s direct social network is associated with more HIV knowledge and less stigmatising attitudes.

Introduction: There are no longitudinal HIV incidence data among men who have sex with men (MSM) and transgender women (TGW) in Indonesia. We aimed to estimate HIV prevalence and incidence and identify associated factors among clinic attendees in Jakarta and Bali.Methods: We conducted a retrospective cohort study using medical records from five clinics. We reviewed HIV tests among MSM/TGW aged ≥18 years who attended the clinics between 1 January 2018 to 31 December 2020 in Jakarta and 1 January 2017 to 31 December 2019 in Bali. HIV prevalence was measured at the first test. Those with an HIV‐negative test and ≥1 follow‐up test/s were included in the person‐years (PY) at risk to determine HIV incidence. The PY at risk calculation started at the first negative test until the last recorded negative test or seroconversion. Multivariate Poisson regression was used to determine factors associated with HIV acquisition.Results: Among 5203 and 2815 individuals with an HIV test result in Jakarta and Bali, respectively, at the first HIV test, 1205 and 616 were HIV positive (HIV prevalence 23.2% and 21.9%). The longitudinal sample included 1418 and 873 individuals, respectively. The median number of tests among repeat testers was 3 in Jakarta (interquartile range [IQR] = 2–4) and 3 in Bali (IQR = 2–5). At baseline, about one‐quarter were aged 90% were MSM and >35% had been tested for HIV previously. In Jakarta, there were 127 HIV seroconversions in 1353 PY (incidence 9.39/100 PY, 95% CI = 7.89–11.17), and in Bali, 71 seroconversions in 982 PY (incidence 7.24/100 PY, 95% CI = 5.73–9.13). Compared to those aged 18–24 years, the incidence rate was lower in older patients (Jakarta—30–39 years: aRR = 0.56, 95% CI = 0.34–0.92; 40+ years: aRR = 0.34, 95% CI = 0.14–0.81; Bali—25–29 years: aRR = 0.44, 95% CI = 0.25–0.79; 30–39 years: aRR = 0.33, 95% CI = 0.18–0.61; 40+ years: aRR = 0.06, 95% CI = 0.01–0.48). In Jakarta, incidence was lower in those with university education than in those without (aRR = 0.66, 95% CI = 0.45–0.96). In Bali, those who had been referred by outreach workers had a higher incidence than those who self‐presented for testing (aRR = 1.85, 95% CI = 1.12–3.07).Conclusions: We observed very high HIV prevalence and incidence rate estimates. Measures to encourage regular testing and effective use of HIV prevention, including pre‐exposure prophylaxis scale‐up and demand creation, are needed.

The objective of this study is to explore the impacts of COVID-19 and changes taking place among the Indonesian female sex worker (FSW) community during the COVID-19 pandemic and the predictors of these changes. We conducted a cross-sectional online survey and selected the participants using a purposive snowball sampling technique. Incentives were provided to participants in the form of a 5 USD e-wallet balance. Variables of interest included adaptation to online sex work, adherence to COVID-19 prevention measures during sex work, number of clients, income reduction, social support, condom access, and condom use frequency. Sociodemographic data and COVID-19 fear index values were also collected. Final analysis included 951 FSWs, of whom 36.4% of had adapted to online sex work and 48.6% had practiced COVID-19 prevention measures. Major reductions in client frequency and income were reported by 67.8% and 71.1% of respondents, respectively. However, only 36.3% of FSWs reported they had ever received any form of social support from any parties, public or private. Meanwhile, 16.7% encountered difficulties in accessing condoms and 12.5% reported less frequent condom use during the pandemic. Easy access to condoms was the main factor influencing the frequency of condom use. As expected, staying in employment protected FSWs from major income loss, while education and younger age predicted adaptive behavioral changes, such as taking up online sex work. The COVID-19 pandemic has disrupted access to socioeconomic support systems and HIV prevention services among FSWs and has further exposed them to the dual jeopardy of HIV and COVID-19 infections.