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Sompob Saralamba

Researcher at Mahidol University

Publications -  31
Citations -  883

Sompob Saralamba is an academic researcher from Mahidol University. The author has contributed to research in topics: Malaria & Medicine. The author has an hindex of 11, co-authored 21 publications receiving 750 citations.

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The last man standing is the most resistant: eliminating artemisinin-resistant malaria in Cambodia

TL;DR: Containment of artemisinin-resistant malaria can be achieved by elimination of malaria from western Cambodia using ACT, and the "last man standing" is the most resistant and thus this strategy must be sustained until elimination is truly achieved.
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Hyperparasitaemia and low dosing are an important source of anti-malarial drug resistance

TL;DR: Current dosing recommendations provide a resistance selection opportunity in those patients with low drug levels and high parasite burdens, and patients with hyperparasitaemia who receive outpatient treatments provide the greatest risk of selecting de-novo resistant parasites.
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Intrahost modeling of artemisinin resistance in Plasmodium falciparum

TL;DR: The model-derived assessment suggests that the efficacy of artesunate on ring stage parasites is reduced significantly in Pailin, which supports the hypothesis that artemisinin resistance mainly reflects reduced ring-stage susceptibility and predicts that doubling the frequency of dosing will accelerate clearance of art Artemisinin-resistant parasites.
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The role of simple mathematical models in malaria elimination strategy design

TL;DR: A simple model structure for the elimination of malaria is suitable for situations where data are sparse yet strategy design requirements are urgent with the caveat that more complex models, populated with new data, would provide more information, especially in the long-term.
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Probability of emergence of antimalarial resistance in different stages of the parasite life cycle.

TL;DR: In this paper, the authors review the basic mechanisms of resistance emergence and describe several simple equations that can be used to estimate the probabilities of de novo resistance mutations at three stages of the parasite life cycle: sporozoite, hepatic merozoite and asexual blood stages.