Relapse or reinfection: Classification of malaria infection using transition likelihoods

Feng‐Chang Lin, Quefeng Li and Jessica T. Lin

Biometrics, 2020, vol. 76, issue 4, 1351-1363

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.

Date: 2020
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