Enhancing unique identification of patients with malaria using biometric fingerprinting in Papua, Indonesia
This study demonstrates the potential use of biometrics to improve patient identification in resource-limited settings and to streamline workflows. Expanding biometric systems to include complementary methods, such as facial recognition, could further address challenges in uniquely identifying specific patient groups, such as young children.
Authors
- Ric N. Price (ORCID: https://orcid.org/0000-0003-2000-2874)
- Liony Fransisca
- Nicola Davies (ORCID: https://orcid.org/0000-0002-7214-4244)
- Benedikt Ley (ORCID: https://orcid.org/0000-0002-5734-0845)
- Reynold Rizal Ubra
- Enny Kenangalem (ORCID: https://orcid.org/0000-0002-0481-7435)
- Jeanne Rini Poespoprodjo (ORCID: https://orcid.org/0000-0003-1573-734X)
Institutions
- Universitas Gadjah Mada (ID)
- Mahidol University (TH)
- Christchurch Hospital (NZ)
- Charles Darwin University (AU)
- University of Oxford (GB)
- Menzies School of Health Research (AU)
- Seirei Mikatabara General Hospital (JP)
- University of Timor (ID)
- Badan Penelitian dan Pengembangan Kesehatan (ID)
- Mahidol Oxford Tropical Medicine Research Unit (TH)
- University of Otago (NZ)
Publication Details
- Journal
- Malaria Journal
- Published
- 2025-12-19
- DOI
- https://doi.org/10.1186/s12936-025-05749-0
- Primary Topic
- Biometric Identification and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00