Journal article
Quantification of parasite clearance in Plasmodium knowlesi infections
J T. Thurai Rathnam, MJ Grigg, S Dini, T William, SS Sakam, DJ Cooper, GS Rajahram, BE Barber, NM Anstey, A Haghiri, M Rajasekhar, JA Simpson
Malaria Journal | BMC | Published : 2023
Abstract
Background: The incidence of zoonotic Plasmodium knowlesi infections in humans is rising in Southeast Asia, leading to clinical studies to monitor the efficacy of anti-malarial treatments for knowlesi malaria. One of the key outcomes of anti-malarial drug efficacy is parasite clearance. For Plasmodium falciparum, parasite clearance is typically estimated using a two-stage method, that involves estimating parasite clearance for individual patients followed by pooling of individual estimates to derive population estimates. An alternative approach is Bayesian hierarchical modelling which simultaneously analyses all parasite-time patient profiles to determine parasite clearance. This study compa..
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Awarded by National Institutes of Health
Funding Acknowledgements
JTTR is funded by the University of Melbourne's Research Scholarship. This work was supported by the Australian National Health and Medical Research Council (Leadership Investigator Grant (#1196068) to JAS, Fellowships to NMA (#1135820) and MJG (#1138860), the Australian Centre for Research Excellence in Malaria Elimination (#1134989), and grant numbers 1037304 and 1045156), and the National Institutes of Health, USA (R01AI160457-01 and R01AI160457-02). MJG is supported by the Australian Centre for International Agricultural Research, Australian Government (LS-2019-116). The funders were not involved in the analysis, interpretation and the writing of this manuscript.