Anti-malarial drug resistance remains a key concern for the global fight against malaria. In Ghana sulfadoxine-pyrimethamine (SP) is used for intermittent preventive treatment of malaria in pregnancy and combined with amodiaquine for Seasonal Malaria Chemoprevention (SMC) during the high malaria season. Thus, surveillance of molecular markers of SP resistance is important to guide decision-making for these interventions in Ghana.
There is a high risk of Plasmodium vivax parasitaemia following treatment of falciparum malaria. Our study aimed to quantify this risk and the associated determinants using an individual patient data meta-analysis in order to identify populations in which a policy of universal radical cure, combining artemisinin-based combination therapy (ACT) with a hypnozoitocidal antimalarial drug, would be beneficial.
Genetic surveillance of malaria parasites supports malaria control programmes, treatment guidelines and elimination strategies. Surveillance studies often pose questions about malaria parasite ancestry (e.g. how antimalarial resistance has spread) and employ statistical methods that characterise parasite population structure. Many of the methods used to characterise structure are unsupervised machine learning algorithms which depend on a genetic distance matrix, notably principal coordinates analysis (PCoA) and hierarchical agglomerative clustering (HAC).
In the absence of an effective vaccine, the efficacy of antimalarial chemotherapies underpins the success of malaria control programmes. Artemisinin-based combination therapies (ACTs), which combine fast-acting artemisinin derivatives and longer-acting partner drugs, are the mainstay of treatment of uncomplicated falciparum malaria in endemic regions.
Malaria control relies on first-line treatments that use artemisinin-combination therapies (ACT). Unfortunately, mutations in the plasmodium falciparum kelch13 gene result in delayed parasite clearance. Research on what is causing ACT failure is non-existent in northwestern Nigeria. Thus, the presence of mutations in kelch13 in P. falciparum isolates from Kano, Nigeria was investigated in this study.
Parasite resistance to antimalarial drugs poses a serious threat to malaria control. The WorldWide Antimalarial Resistance Network (WWARN) aims to provide a collaborative platform to support the global malaria research effort. Here, we describe the “WWARN clinical trials publication library,” an open-access, up-to-date resource to streamline the synthesis of antimalarial safety and efficacy data.
The Democratic Republic of the Congo (DRC) harbors 11% of global malaria cases, yet little is known about the spatial and genetic structure of the parasite population in that country. We sequence 2537 Plasmodium falciparum infections, including a nationally representative population sample from DRC and samples from surrounding countries, using molecular inversion probes - a high-throughput genotyping tool. We identify an east-west divide in haplotypes known to confer resistance to chloroquine and sulfadoxine-pyrimethamine.
The identification of artemisinin (ART) in 1971 allowed treatment of malaria resistant to chloroquine, the prevailing drug at the time, and provided hope for a malaria-free world (1). Today, malaria control efforts have been very successful, with 32% fewer deaths over the past 8 years (2). However, the emergence of resistance to ART and other antimalarials threatens to become a major problem in the continuing program to eliminate and eventually eradicate malaria (3).
No abstract available
The available evidence demonstrates the need for more investment to improve both sampling and analytical methodology and to achieve consensus in defining different types of poor quality medicines.