ArticleBiometrics2020
Relapse or reinfection: Classification of malaria infection using transition likelihoods.
Article in Biometrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- In vitro larvicidal activity of selected azabenzimidazole and diarylquinoline derivatives against Anopheles gambiae and in silico mechanistic analysis.Molecular diversity · 2026Article
- Towards malaria elimination: a case-control study to assess associated factors to malaria relapses in the extra-Amazon Region of Brazil from 2008 to 2019.Malaria journal · 2024Article
- Detection of Duffy blood group genotypes and submicroscopic Plasmodium infections using molecular diagnostic assays in febrile malaria patients.Malaria journal · 2024Article
- Epidemiology of malaria in saravan city and its suburbs from 2018 to 2023, Southeast Iran.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024Article
- Detection of Duffy Blood Group Genotypes and Submicroscopic Plasmodium Infections Using Molecular Diagnostic Assays in Febrile Malaria Patients.Research square · 2023Article
- Classification of disease recurrence using transition likelihoods with expectation-maximization algorithm.Statistics in medicine · 2022Article
- COVID-19 diverse outcomes: Aggravated reinfection, type I interferons and antibodies.Medical hypotheses · 2022Article
- Dynamic Classification ofJournal of data science : JDS · 2022Article
- Postmalaria elimination: Overview of recurrent malaria cases in Riau Province, Indonesia.Tropical parasitologyArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
In patients with Plasmodium vivax malaria treated with effective blood-stage therapy, the recurrent illness may occur due to relapse from latent liver-stage infection or reinfection from a new mosquito bite. Classification of the recurrent infection as either relapse or reinfection is critical when evaluating the efficacy of an anti-relapse treatment. Although one can use whether a shared genetic variant exists between baseline and recurrence genotypes to classify the outcome, little has been suggested to use both sharing and nonsharing variants to improve the classification accuracy. In this paper, we develop a novel classification criterion that utilizes transition likelihoods to distinguish relapse from reinfection. When tested in extensive simulation experiments with known outcomes, our classifier has superior operating characteristics. A real data set from 78 Cambodian P. vivax malaria patients was analyzed to demonstrate the practical use of our proposed method.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.