Integration of biostatistics and mathematical modelling to improve the control of malaria
Project Details
Approximately 200 million clinical cases of malaria are treated globally each year. Artemisinin combination therapies are the first line treatment for falciparum malaria. Alarmingly, resistance to these artemisinin derivatives, the most highly effective antimalarial drugs, has spread in Southeast Asia and emerged in Africa and PNG, jeopardizing malaria control. This research program brings together advanced biostatistical research with mathematical modelling with the aim of improving treatment outcomes for malaria patients and identifying interventions that will prevent future disease. The research program will primarily focus on malaria, but the methodological advances have widespread applicability to other infectious diseases.
Mathematical models integrating blood anti-malarial drug concentrations with the parasite-time profile of an infected individual provide an avenue to studying drug action. Within this program, novel mathematical models for antimalarial drugs that account for the immune function of the infected individual and the drug action against sensitive and resistant strains will be developed. The predictive value of these biologically informed mathematical models are validated against clinical data using a Bayesian hierarchical framework. Using the derived posterior parameter distributions and a simulation-based approach, optimal dosing regimens are determined and provided to the World Health Organization.
For more details of individual research projects and publications please see our qMalaria research group website:- https://qmalaria.org/
Researchers
PhD Students:
Meg Tully
Collaborators
- Members of the WorldWide Antimalarial Resistance Network (WWARN) (https://www.iddo.org/wwarn)
- Members of the Australian Centre of Research Excellence in Malaria Elimination (https://acreme.edu.au/ )
- Prof. Francois Nosten, Prof. Nicholas J White, Prof. Rose McGready, Dr James Watson - University of Oxford
Research Group
BiostatisticsFaculty Research Themes
School Research Themes
Key Contact
For further information about this research, please contact the research group leader.
Department / Centre
Centre for Epidemiology and Biostatistics
MDHS Research library
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