| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8744942 | Clinical Microbiology and Infection | 2018 | 16 Pages |
Abstract
Our results demonstrate that the introduction of a simple and easy-to-perform laboratory algorithm for the identification of B. pseudomallei from clinical samples, together with clinical awareness raising, can lead to the diagnosis of a significant number of melioidosis cases in resource-limited clinical laboratories which previously did not identify the pathogen.
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Authors
T.T. Trinh, T.S. Hoang, D.A. Tran, V.T. Trinh, A. Göhler, T.T. Nguyen, S.N. Hoang, R. Krumkamp, L.T.N. Nguyen, J. May, P.M. Doan, C.D. Do, T.A. Que, I. Steinmetz,