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2 "Pande Putu Januraga"
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Original Article
Open Communication About Reproductive Health Is Associated With Comprehensive HIV Knowledge and a Non-stigmatising Attitude Among Indonesian Youth: A Cross-sectional Study
Gede Benny Setia Wirawan, Ni Luh Zallila Gustina, Pande Putu Januraga
J Prev Med Public Health. 2022;55(4):342-350.   Published online June 13, 2022
DOI: https://doi.org/10.3961/jpmph.21.581
  • 12,491 View
  • 209 Download
  • 5 Web of Science
  • 6 Crossref
AbstractAbstract PDF
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.
Summary

Citations

Citations to this article as recorded by  
  • Sources of HIV information and women’s HIV knowledge in Southwest Sumba Indonesia: a cross-sectional study with mediation analysis
    Angela Kurniadi, Judith A. Levy, Timothy P. Johnson
    BMC Public Health.2025;[Epub]     CrossRef
  • Manifestation and Markings of HIV Stigma in Indonesia: A Scoping Review
    Ni Kadek Sudastri, Luh Putu Lila Wulandari, Pande Putu Januraga
    International Journal of Environmental Research and Public Health.2025; 22(6): 840.     CrossRef
  • Assessment of Perceived HIV Vulnerability, Knowledge Regarding HIV Transmission, and Associated Sociodemographic Factors Among Urban Slum Dweller Adults in Bangladesh: A Cross‐Sectional Study
    Abu Bakkar Siddique, Md Golam Morshed, Md. Amirul Haque, Mintia islam Austha, Md. Mehedy Hassan, Samia Sultana, Mukta Moni, Md Mehedi Hasan, Rehnuma Abdullah, Md. Kaium Hossain, Md. Tajuddin Sikder
    Health Science Reports.2025;[Epub]     CrossRef
  • Cerdas (Cegah, Edukasi, Sayangi Diri): Program Remaja Sehat Bebas Penyakit Menular Seksual
    Dini Rahmayani, Winda Ayu Fazraningtyas, Umi Hanik Fetriyah, Namira Talitha Yamani, Neli Maulida, Neni Grencia, Ni Nyoman Jero Andini, Niluh Putu Asti Purnama Sari, Normala, Nur Anisa, Nurlina Nazmi, Putri Salsabila, Ranisa Mukti, Renaldy Fad
    Majalah Cendekia Mengabdi.2025; 3(4): 261.     CrossRef
  • Behavioral Intervention to Prevent HIV/AIDS Among Young Adults Using Motivational Culture-Based Communication: Protocol for a Research and Development Study
    Moh Khotibul Umam, Agus Setiawan, Henny Permatasari, Muchtaruddin Mansyur
    JMIR Research Protocols.2025; 14: e72996.     CrossRef
  • A Scoping Review of Knowledge, Awareness, Perceptions, Attitudes, and Risky Behaviors of Sexually Transmitted Infections in Southeast Asia
    Vimala Balakrishnan, Kok Khuen Yong, Chiong Kian Tiong, Nicholas Jian Shen Ng, Zhao Ni
    Healthcare.2023; 11(8): 1093.     CrossRef
COVID-19: Original Article
Forecasting COVID-19 Transmission and Healthcare Capacity in Bali, Indonesia
I Md Ady Wirawan, Pande Putu Januraga
J Prev Med Public Health. 2020;53(3):158-163.   Published online April 29, 2020
DOI: https://doi.org/10.3961/jpmph.20.152
  • 12,910 View
  • 337 Download
  • 15 Crossref
AbstractAbstract PDF
Objectives
In the current early phase of the coronavirus disease 2019 (COVID-19) outbreak, Bali needs to prepare to face the escalation of cases, with a particular focus on the readiness of healthcare services. We simulated the future trajectory of the epidemic under current conditions, projected the impact of policy interventions, and analyzed the implications for healthcare capacity.
Methods
Our study was based on the first month of publicly accessible data on new confirmed daily cases. A susceptible, exposed, infected, recovered (SEIR) model for COVID-19 was employed to compare the current dynamics of the disease with those predicted under various scenarios.
Results
The fitted model for the cumulative number of confirmed cases in Bali indicated an effective reproduction number of 1.4. Interventions have decreased the possible maximum number of cases from 71 125 on day 86 to 22 340 on day 119, and have prolonged the doubling time from about 9 days to 21 days. This corresponds to an approximately 30% reduction in transmissions from cases of mild infections. There will be 2780 available hospital beds, and at the peak (on day 132), the number of severe cases is estimated to be roughly 6105. Of these cases, 1831 will need intensive care unit (ICU) beds, whereas the number of currently available ICU beds is roughly 446.
Conclusions
The healthcare system in Bali is in danger of collapse; thus, serious efforts are needed to improve COVID-19 interventions and to prepare the healthcare system in Bali to the greatest extent possible.
Summary

Citations

Citations to this article as recorded by  
  • Short term forecast of new daily pandemic hospitalizations: A time series model for a single hospital
    Lieke Fleur Heupink, Espen Rostrup Nakstad, Hilde Lurås, Pål Wiik, Kristine Lippestad, Fred Espen Benth, Jūratė Šaltytė Benth
    Epidemics.2026; 54: 100894.     CrossRef
  • The management of chronic diseases during the SARS-Cov-2 pandemic in WHO Western-Pacific and South-East Asian regions
    Angeline Kuek, Kathryn M. Antioch, Priscilla Robinson
    Journal of Public Health.2025;[Epub]     CrossRef
  • The Effect of High Flow Nasal Cannula (HFNC) on the Use of Ventilators in Severe to Critical COVID-19 Patients
    Lavely Rakhmatan Firdausintika, Irmi Syafa’ah, Prananda Surya Airlangga, Prihatma Kriswidyatomo, Herley Windo Setiawan, Isnin Anang Marhana
    Coronaviruses.2025;[Epub]     CrossRef
  • Towards reliable forecasting of healthcare capacity needs: A scoping review and evidence mapping
    Simon Grøntved, Mette Jørgine Kirkeby, Søren Paaske Johnsen, Jan Mainz, Jan Brink Valentin, Christina Mohr Jensen
    International Journal of Medical Informatics.2024; 189: 105527.     CrossRef
  • Health 4.0 architecture proposal for planning and management of a hospital emergency department
    Lucas Caldas Danelon Lopes, Clóvis Neumann, Michael Machado
    Procedia CIRP.2024; 126: 307.     CrossRef
  • The Impacts of Medical Resources on Emerging Self-Limiting Infectious Diseases
    Dayong Zhou, Liyan Gao, Qiuhui Pan, Mingfeng He
    Applied Sciences.2022; 12(9): 4255.     CrossRef
  • Transmission dynamics model and the coronavirus disease 2019 epidemic: applications and challenges
    Jinxing Guan, Yang Zhao, Yongyue Wei, Sipeng Shen, Dongfang You, Ruyang Zhang, Theis Lange, Feng Chen
    Medical Review.2022; 2(1): 89.     CrossRef
  • Comprehensive Travel Health Education for Tour Guides: Protocol for an Exploratory Sequential Mixed Methods Research
    Ni Made Sri Nopiyani, Pande Putu Januraga, I Md Ady Wirawan, I Made Bakta
    JMIR Research Protocols.2022; 11(5): e33840.     CrossRef
  • Seroprevalence of SARS-CoV-2 antibodies in Bali Province: Indonesia shows underdetection of COVID-19 cases by routine surveillance
    Anak A. S. Sawitri, Putu C. D. Yuliyatni, Putu A. S. Astuti, Emita Ajis, Endang B. Prasetyowati, Husni, Juliette Morgan, Jennifer Mika, Catharina Y. Praptiningsih, Amalya Mangiri, Ester Mulyadi, Rintis Noviyanti, Leily Trianty, William A. Hawley, Gathsau
    PLOS Global Public Health.2022; 2(8): e0000727.     CrossRef
  • Correlation of Demographics, Healthcare Availability, and COVID-19 Outcome: Indonesian Ecological Study
    Gede Benny Setia Wirawan, Pande Putu Januraga
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • Perceived Social Norms as Determinants of Adherence to Public Health Measures Related to COVID-19 in Bali, Indonesia
    Putu Ayu Indrayathi, Pande Putu Januraga, Putu Erma Pradnyani, Hailay Abrha Gesesew, Paul Russel Ward
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • Prevalence of Depression, Anxiety, and Stress Among Repatriated Indonesian Migrant Workers During the COVID-19 Pandemic
    Ngakan Putu Anom Harjana, Pande Putu Januraga, Putu Ayu Indrayathi, Hailay Abrha Gesesew, Paul Russell Ward
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • Determinants of Mental Health and Practice Behaviors of General Practitioners During COVID-19 Pandemic in Bali, Indonesia: A Cross-sectional Study
    Firman Parulian Sitanggang, Gede Benny Setia Wirawan, I Md Ady Wirawan, Cokorda Bagus Jaya Lesmana, Pande Putu Januraga
    Risk Management and Healthcare Policy.2021; Volume 14: 2055.     CrossRef
  • Improving Public Access to COVID-19 Pandemic Data in Indonesia for Better Public Health Response
    Pande Putu Januraga, Ngakan Putu Anom Harjana
    Frontiers in Public Health.2020;[Epub]     CrossRef
  • Modeling the transmission dynamics of COVID-19 epidemic: a systematic review
    Jinxing Guan, Yongyue Wei, Yang Zhao, Feng Chen
    The Journal of Biomedical Research.2020; 34(6): 422.     CrossRef

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