A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria

A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria

Traditionally, patient travel history has been used to distinguish imported from autochthonous malaria cases, but the dormant liver stages of Plasmodium vivax confound this approach. Molecular tools offer an alternative method to identify, and map imported cases. Using machine learning approaches in...

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Bibliographic Details
Main Authors: Trimarsanto, H, Amato, R, Pearson, RD, Sutanto, E, Noviyanti, R, Trianty, L, Marfurt, J, Pava, Z, Echeverry, DF, Lopera-Mesa, TM, Montenegro, LM, Tobón-Castaño, A, Grigg, MJ, Barber, B, William, T, Anstey, NM, Getachew, S, Petros, B, Aseffa, A, Assefa, A, Rahim, AG, Chau, NH, Hien, TT, Alam, MS, Khan, WA, Ley, B, Thriemer, K, Wangchuck, S, Hamedi, Y, Adam, I, Liu, Y, Gao, Q, Sriprawat, K, Ferreira, MU, Laman, M, Barry, A, Mueller, I, Lacerda, MVG, Llanos-Cuentas, A, Krudsood, S, Lon, C, Mohammed, R, Yilma, D, Pereira, DB, Espino, FEJ, Chu, CS, Vélez, ID, Namaik-Larp, C, Villegas, MF, Green, JA, Miotto, O, Nosten, F
Format: Journal article
Language:English
Published: Springer Nature 2022

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