ArticleJournal of arthropod-borne diseases2020
Application of High-Resolution Melting (HRM) Technique towards the Detection of Asymptomatic Malaria in a Malaria Endemic Area of Southeastern Iran under Elimination Program.
Article in Journal of arthropod-borne diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 5 citations in OpenAlex.
- Performance of High-Resolution Melting Analysis for Molecular Detection and Species Differentiation of Malaria: A Scoping Review.Pathogens (Basel, Switzerland) · 2026Article
- Asymptomatic/submicroscopicParasite epidemiology and control · 2025Article
- Detection and subtyping of Blastocystis sp. in human and animal stool samples using high-resolution melting analysis.BMC infectious diseases · 2025Article
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7 authors at 2 institutions in 1 country.
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Abstract
backgroundAsymptomatic malaria, which usually exists in low parasitemia, acts as the Plasmodium species reservoirs contributing towards malaria transmission. This situation hinders malaria elimination programs in endemic areas, thus necessitating an active case detection with a high sensitive method and treatment of cases. This is why we used a High Resolution Melting (HRM) assay to monitor the trend of asymptomatic malaria in a malaria endemic area of Iran which is under elimination program.
methodsThe peripheral blood was sampled from 271 clinically approved non-febrile individuals from a malaria endemic zone of southeastern Iran for asymptomatic malaria prevalence detection by microscopy, Rapid Diagnostic Tests (RDTs) and HRM methods. The HRM assay was done based on the amplification of 18S SSU rRNA gene.
resultsThe HRM assay revealed infections from three individuals out of 271 (1.1% asymptomatic malaria prevalence) from the participants, two Iranian natives with
conclusionThis study revealed a low frequency of asymptomatic malaria trend within malaria endemic areas of southeastern Iran which are under intense elimination program and also the ability of HRM assay in detecting low
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