Genetic epidemiology of P. falciparum malaria and associated antimalarial drug resistance in Lao PDR
Genetic surveillance project conducted by the National Malaria Control Programme in partnership with GenRe-Mekong in endemic region of the Lao PDR. This is part of a large project of genetic surveillance of malaria in the Greater Mekong Subregion, funded by the Bill and Melinda Gates Foundation. Dried blood spot (DBS) samples are to be collected along with short surveys on patient demographics and population movement from every confirmed case of P. falciparum and/or P. vivax malaria presenting at public health facilities. The aim is to determine the prevalence and geographic distribution of antimalarial drug resistance-linked genetic mutations, as well as the genetic structure of the parasite population, likely routes of gene flow between populations, and geographic origins of parasites.
Summary
- 910 Samples
- 5 Locations
Samples/Year
QC Pass
Samples that passed Whole-Genome Sequencing Quality Control (QC)
Resistance
Predicted resistance status for main antimalarial drug treatments from molecular markers
Locations
Attapeu
Summary
Samples/Year
QC Pass
Samples that passed Whole-Genome Sequencing Quality Control (QC)
Resistance
Predicted resistance status for main antimalarial drug treatments from molecular markers
Champasak
Summary
Samples/Year
QC Pass
Samples that passed Whole-Genome Sequencing Quality Control (QC)
Resistance
Predicted resistance status for main antimalarial drug treatments from molecular markers
Salavan
Summary
Samples/Year
QC Pass
Samples that passed Whole-Genome Sequencing Quality Control (QC)
Resistance
Predicted resistance status for main antimalarial drug treatments from molecular markers
Savannakhet
Summary
Samples/Year
QC Pass
Samples that passed Whole-Genome Sequencing Quality Control (QC)
Resistance
Predicted resistance status for main antimalarial drug treatments from molecular markers
Sekong
Summary
Samples/Year
QC Pass
Samples that passed Whole-Genome Sequencing Quality Control (QC)
Resistance
Predicted resistance status for main antimalarial drug treatments from molecular markers