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World Antimalarial Resistance Network (WARN) III: Molecular markers for drug resistant malaria

Overview of attention for article published in Malaria Journal, September 2007
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Title
World Antimalarial Resistance Network (WARN) III: Molecular markers for drug resistant malaria
Published in
Malaria Journal, September 2007
DOI 10.1186/1475-2875-6-121
Pubmed ID
Authors

Christopher V Plowe, Cally Roper, John W Barnwell, Christian T Happi, Hema H Joshi, Wilfred Mbacham, Steven R Meshnick, Kefas Mugittu, Inbarani Naidoo, Ric N Price, Robert W Shafer, Carol H Sibley, Colin J Sutherland, Peter A Zimmerman, Philip J Rosenthal

Abstract

Molecular markers for drug resistant malaria represent public health tools of great but mostly unrealized potential value. A key reason for the failure of molecular resistance markers to live up to their potential is that data on the their prevalence is scattered in disparate databases with no linkage to the clinical, in vitro and pharmacokinetic data that are needed to relate the genetic data to relevant phenotypes. The ongoing replacement of older monotherapies for malaria by new, more effective combination therapies presents an opportunity to create an open access database that brings together standardized data on molecular markers of drug resistant malaria from around the world. This paper presents a rationale for creating a global database of molecular markers for drug resistant malaria and for linking it to similar databases containing results from clinical trials of drug efficacy, in vitro studies of drug susceptibility, and pharmacokinetic studies of antimalarial drugs, in a World Antimalarial Resistance Network (WARN). This database will be a global resource, guiding the selection of first line drugs for treating uncomplicated malaria, for preventing malaria in travelers and for intermittent preventive treatment of malaria in pregnant women, infants and other vulnerable groups. Perhaps most important, a global database for molecular markers of drug resistant malaria will accelerate the identification and validation of markers for resistance to artemisinin-based combination therapies and, thereby, potentially prolong the useful therapeutic lives of these important new drugs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Tanzania, United Republic of 2 1%
Vietnam 1 <1%
Kenya 1 <1%
Brazil 1 <1%
Burkina Faso 1 <1%
India 1 <1%
Belgium 1 <1%
Thailand 1 <1%
Other 1 <1%
Unknown 165 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 18%
Researcher 30 17%
Student > Ph. D. Student 27 15%
Student > Postgraduate 12 7%
Student > Bachelor 12 7%
Other 35 20%
Unknown 31 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 27%
Medicine and Dentistry 43 24%
Biochemistry, Genetics and Molecular Biology 16 9%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Immunology and Microbiology 5 3%
Other 21 12%
Unknown 37 21%