Modeling HBV transmission dynamics in Indonesia (2024–2030) using a SIVRM model: Evaluating optimal control strategies for elimination by 2030

Hashem S. Arkok, Tri Yunis Miko Wahyono, Dipo Aldila, Nurhayati Adnan Prihartono

Open source

DOI: 10.1371/journal.pone.0341120
Published: 2026-02-02
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0341120,
  title = {Modeling HBV transmission dynamics in Indonesia (2024–2030) using a SIVRM model: Evaluating optimal control strategies for elimination by 2030},
  author = {Hashem S. Arkok and Tri Yunis Miko Wahyono and Dipo Aldila and Nurhayati Adnan Prihartono},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0341120},
  url = {https://doi.org/10.1371/journal.pone.0341120}
}

RIS

TY  - JOUR
TI  - Modeling HBV transmission dynamics in Indonesia (2024–2030) using a SIVRM model: Evaluating optimal control strategies for elimination by 2030
AU  - Hashem S. Arkok
AU  - Tri Yunis Miko Wahyono
AU  - Dipo Aldila
AU  - Nurhayati Adnan Prihartono
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0341120
UR  - https://doi.org/10.1371/journal.pone.0341120
ER  -

APA

Arkok, H. S., Wahyono, T. Y. M., Aldila, D., & Prihartono, N. A. (2026). Modeling HBV transmission dynamics in Indonesia (2024–2030) using a SIVRM model: Evaluating optimal control strategies for elimination by 2030. PLOS One. https://doi.org/10.1371/journal.pone.0341120

Source records

crossref · retrieved 2026-09-25T05:49:28.528Z