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David L. Saunders

Researcher at United States Department of the Army

Publications -  42
Citations -  778

David L. Saunders is an academic researcher from United States Department of the Army. The author has contributed to research in topics: Plasmodium falciparum & Malaria. The author has an hindex of 13, co-authored 33 publications receiving 517 citations. Previous affiliations of David L. Saunders include University of Maryland, Baltimore & Uniformed Services University of the Health Sciences.

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An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples

MalariaGEN, +163 more
TL;DR: A new release of curated genome variation data on 7,000 Plasmodium falciparum samples from MalariaGEN partner studies in 28 malaria-endemic countries aims to facilitate research into the evolutionary processes affecting malaria control and to accelerate development of the surveillance toolkit required for malaria elimination.
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Using Amplicon Deep Sequencing to Detect Genetic Signatures of Plasmodium vivax Relapse

TL;DR: Deep sequencing at a highly variable region of the P. vivax merozoite surface protein 1 gene revealed impressive diversity-generating 67 unique haplotypes and detecting on average 3.6 cocirculating parasite clones within individuals, compared to 2.1 clones detected by a combination of 3 microsatellite markers.
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Dose-dependent risk of neutropenia after 7-day courses of artesunate monotherapy in Cambodian patients with acute Plasmodium falciparum malaria.

TL;DR: The artemisinin derivatives remain one of the safest classes of antimalarial drugs, but this study demonstrates that the dosing limit may have been reached, and future experimental dosing studies must be designed with care, because the safety of such regimens can no longer be assumed.
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Quantification of glucose-6-phosphate dehydrogenase activity by spectrophotometry: A systematic review and meta-analysis.

Daniel A. Pfeffer, +53 more
- 14 May 2020 - 
TL;DR: There is substantial variation in G6PD measurements by spectrophotometry between sites, likely due to variability in laboratory methods, with possible contribution of unmeasured population factors.