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About Graeme Dor

graemedor@gmail.com
CERI fellow and PhD candidate in the Centre for Bioinformatics and Computational Biology at Stellenbosch University. I have an academic background in Geographic Information Systems accompanied by work experience as a data scientist, performing national programmatic monitoring of priority communicable diseases (TB & HIV) in South Africa. My passion lies at the intersection of GIS, data science, and public health, as I strive to contribute and leverage data-driven insights for the betterment of public healthcare system in Africa. Beyond academia and work, I hold a profound passion for football, competing at a high level while maintaining my commitments.

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PUBLICATIONS

Emergence of SARS-CoV-2 Omicron lineages BA.4 and BA.5 in South Africa.
Tegally H, Moir M, Everatt J, Giovanetti M, Scheepers C, Wilkinson E, Subramoney K, Moyo S, Amoako D, Althaus C, Anyaneji U, Kekana D, Viana R, Giandhari J, Maponga T, Maruapula D, Choga W, Mayaphi S, Mbhele N, Gaseitsiwe S, Msomi N, Naidoo Y, Pillay S, Sanko T, San J, Scott L, Singh L, Magini N, Smith-Lawrence P, Stevens W, Dor G, Tshiabuila D, Wolter N, Preiser W, Treurnicht F, Venter M, Davids M, Chiloane G, Mendes A, McIntyre C, O'Toole A, Ruis C, Peacock T, Roemer C, Williamson C, Pybus O, Bhiman J, Glass A, Martin D, Rambaut A, Gaseitsiwe S, von Gottberg A, Baxter C, Lessells R, de Oliveira T, Nature Medicine (2022), https://doi.org/10.1038/s41591-022-01911-2:.

Track Omicron’s spread with molecular data.
Scott L, Hsiao NY, Moyo S, Singh L, Tegally H, Dor G, Maes P, Pybus OG, Kraemer MUG, Semenova E, Bhatt S, Flaxman S, Faria NR, de Oliveira T, Science (2021), DOI: 10.1126/science.abn4543 :.