Should deep-sequenced amplicons become the new gold-standard for analysing malaria drug clinical trials? (Publications)
used to distinguish genotyping 'noise' from real low density signals, the local epidemiology of malaria transmission, and the potential impact of genetic signals from gametocytes. Results. AmpSeq greatly
Analysis of contamination in cluster randomized trials of malaria interventions (Publications)
BACKGROUND: In cluster randomized trials (CRTs) of interventions against malaria, mosquito movement between households ultimately leads to contamination between intervention and control arms, unless they [...] which contamination measurably biases the estimate of effectiveness. A sigmoid function is fitted to malaria prevalence or incidence data as a function of the distance of households to the intervention boundary
Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea (Publications)
Malaria risk is highly heterogeneous. Understanding village and household-level spatial heterogeneity of malaria risk can support a transition to spatially targeted interventions for malaria elimination [...] spatial heterogeneity of malaria risk and investigate the contribution of individual, household and environmental-level risk factors. Following a period of declining malaria prevalence, the prevalence [...] useful indicators of transmission hotspots and inform the development of tailored...
CRISPR/Cas9-engineered inducible gametocyte producer lines as a valuable tool for <em>Plasmodium falciparum </em>malaria transmission research (Publications)
The malaria parasite Plasmodium falciparum replicates inside erythrocytes in the blood of infected humans. During each replication cycle, a small proportion of parasites commits to sexual development and [...] In summary, we believe the iGP approach developed here will greatly expedite basic and applied malaria transmission stage research.
Spatial prediction of malaria prevalence in Papua New Guinea: a comparison of Bayesian decision network and multivariate regression modelling... (Publications)
performance when developing malaria prevalence maps due to the multiple interacting factors that drive malaria prevalence in different geographical areas. When developing malaria prevalence maps, BDNs may [...] BACKGROUND: Considerable progress towards controlling malaria has been made in Papua New Guinea through the national malaria control programme's free distribution of long-lasting insecticidal nets, improved [...] linear model, GLM) in terms of malaria spatial risk prediction accuracy....
Mapping the endemicity and seasonality of clinical malaria for intervention targeting in Haiti using routine case data (Publications)
Towards the goal of malaria elimination on Hispaniola, the National Malaria Control Program of Haiti and its international partner organisations are conducting a campaign of interventions targeted to high-risk