Understanding malaria infection dynamics
This student project is available for Masters and PhD candidates and will develop skills in genetics, epidemiology, computational data analysis, and will involve work with international collaborators.
Project details
Malaria is an infectious disease caused by Plasmodium parasites. Renewed intensification of global malaria control interventions over the past decade has had significant success. However, as we try to eliminate malaria, infections become harder to detect yet contribute to ongoing transmission. We aim to better understand infection burden in areas approaching elimination.
Using samples collected from large-scale epidemiological field studies in Asia-Pacific, this project will apply novel genotyping and molecular diagnostic techniques to identify and track malaria infections over space and time and within individuals. Genetic data will be related to epidemiological data helping us understand spatiotemporal infection dynamics and risk factors.
This project will develop your skills in genetic and next-generation sequencing data analysis, epidemiology, computational approaches, and will involve work with international collaborators.
- Posted on:
- January 1, 0001
- Length:
- 1 minute read, 127 words
- Categories:
- Genomic surveillance Epidemiology Genomics
- See Also:
- varcodetools
- SIMPLEGEN
- PGEforge