Journal article
Neutral vs. non-neutral genetic footprints of Plasmodium falciparum multiclonal infections
F Labbé, Q He, Q Zhan, KE Tiedje, DC Argyropoulos, MH Tan, A Ghansah, KP Day, M Pascual
Plos Computational Biology | Published : 2023
Abstract
At a time when effective tools for monitoring malaria control and eradication efforts are crucial, the increasing availability of molecular data motivates their application to epidemiology. The multiplicity of infection (MOI), defined as the number of genetically distinct parasite strains co-infecting a host, is one key epidemiological parameter for evaluating malaria interventions. Estimating MOI remains a challenge for high-transmission settings where individuals typically carry multiple co-occurring infections. Several quantitative approaches have been developed to estimate MOI, including two cost-effective ones relying on molecular data: i) THE REAL McCOIL method is based on putatively n..
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Grants
Awarded by Fogarty International Center at the National Institutes of Health
Awarded by NIH-NSF-NIFA Ecology and Evolution of Infectious Disease
Funding Acknowledgements
This research was initially supported by the Fogarty International Center at the National Institutes of Health (Program on the Ecology and Evolution of Infectious Diseases), grant R01-TW009670 to KD and MP. Funding was provided by the joint NIH-NSF-NIFA Ecology and Evolution of Infectious Disease award R01-AI149779 to KD and MP. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.