Malaria Detection Using Fingerprint Patterns: A Descriptive Study of Malaria-Positive Individuals in Nasarawa State, Nigeria

Authors

  • Ene Etim Okon Department of Biochemistry and Molecular Biology, Faculty of Natural and Applied Sciences, Nasarawa State University, Keffi, P.M.B. 1022 Keffi, Nasarawa State Nigeria Author https://orcid.org/0000-0002-9308-0091
  • Charity Akwa Department of Environmental Education, Faculty of Education, University of Calabar, Etagbor, PMB 1115 Calabar, Cross River State, Nigeria Author
  • Ogunnodi Olanrewaju Collins Department of Biochemistry and Molecular Biology, Faculty of Natural and Applied Sciences, Nasarawa State University, Keffi, P.M.B. 1022 Keffi, Nasarawa State Nigeria Author
  • Emmanuella Eleojo Emmanuel Department of Biochemistry, Faculty of Natural Sciences, Kogi State University, Nigeria Author
  • Tamunoibigbariya Kellyiyi Ibama Department of Biochemistry and Molecular Biology, Faculty of Natural and Applied Sciences, Nasarawa State University, Keffi, P.M.B. 1022 Keffi, Nasarawa State Nigeria Author
  • Momoh Fatimat Oziti Department of Biochemistry, College of Medicine, Achievers University, Owo, Kogi State, Nigeria Author
  • Catherine Charles Odoh Department of Biochemistry and Molecular Biology, Faculty of Natural and Applied Sciences, Nasarawa State University, Keffi, P.M.B. 1022 Keffi, Nasarawa State Nigeria Author

DOI:

https://doi.org/10.54536/ajarai.v1i2.6744

Keywords:

Fingerprint, Malaria Parasite, Nasarawa State, Pattern, Susceptibility

Abstract

Malaria detection remains a primary concern in most endemic regions of the world due to poor health care delivery. This study investigated the relationship between fingerprint patterns and malaria susceptibility in patients with Plasmodium falciparum infections. Giemsa’s staining and live scan techniques were used for sample collection. A total of 384 individuals confirmed with malaria were enrolled for this study. Our findings revealed a dominance of loop patterns (52.1%) in the sampled population, followed by whorls (29.4%) and arches (18.5%). Though, the distribution of the fingerprint patterns against malaria were not significant, individuals with loop fingerprint pattern were more prone to malaria infection. The study suggests a potential link between fingerprint patterns and malaria susceptibility, with implications for the use of fingerprint analysis as a detective tool or additional screening tool both for malaria and other clinical infectious diseases. Further research is needed to confirm these findings and explore the potential applications of fingerprint pattern analysis in early disease diagnosis and prevention.

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Published

2026-09-26

How to Cite

Okon, E. E. ., Akwa , C. ., Collins, O. O. ., Emmanuel , E. E. ., Ibama, T. K. ., Oziti , M. F. ., & Odoh, C. C. . (2026). Malaria Detection Using Fingerprint Patterns: A Descriptive Study of Malaria-Positive Individuals in Nasarawa State, Nigeria. American Journal of Applied Research and AI , 1(2), 80-87. https://doi.org/10.54536/ajarai.v1i2.6744