
The first 2026 edition of the gem kicks off with unstoppable energy, literally. What began as a simple idea has quickly transformed into something bold and exciting: SWEAT Africa. This edition of the gem also proudly introduces the new cohort of African STARS Fellows. the gem continues to spotlight vital scientific work, with new insights into bioinformatics, genomics and climate change

This brand new venture festival is positioning our continent at the centre of global innovation, investment and collaboration.

Stellenbosch is more than a picturesque town; its a science and innovation hub. Home to Stellenbosch University and the Technopark innovation hub, the town is rich with researchers, engineers, and entrepreneurs shaping Africas tech future.

As 2025 draws to a close, the Centre for Epidemic Response and Innovation (CERI), the KZN Research Innovation and Sequencing Platform (KRISP) and SACEMA reflect on a year marked by scientific excellence, global collaboration, and meaningful advances into the future of AI-driven health innovation. This edition of the gem magazine captures highlights of that journey.

Sweat Africa: Inspiring young people to pursue careers in tech and entrepreneurship. We are on a mission to help and create founders to change the world from Africa.

For the second year in a row, the Director of the Centre for Epidemic Response and Innovation (CERI) at Stellenbosch University (SU), Prof Tulio de Oliveira, has secured a spot on the prestigious Clarivate Highly Cited Researchers list for 2025, specifically in the Cross-Field category

As part of their visit to the Stellenbosch University, the universities in the Bavarian delegation toured CERIs state-of-the-art facilities at the Tygerberg Campus on 4 November. Accompanied by Prof Tulio de Oliveira and senior researchers, the group explored how CERI is driving innovation in genomic surveillance and building scientific partnerships across Africa
Tracing the spatial origins and spread of SARS-CoV-2 Omicron lineages in South Africa.
Dor G, Wilkinson E, Martin DP, Moir M, Tshiabuila D, Kekana D, Ntozini B, Joseph R, Iranzadeh A, Nyaga MM, Goedhals D, Maponga T, Maritz J, Laguda-Akingba O, Ramphal Y, MacIntyre C, Chabuka L, Pillay S, Giandhari J, Baxter C, Hsiao NY, Preiser W, Bhiman JN, Davies MA, Venter M, Treurnicht FK, Wolter N, Williamson C, von Gottberg A, Lessells R, Tegally H, de Oliveira T, Nature Communications (2025), 28;16(1):4937. doi: 10.1038/s41467-025-60081-0:.
Genomic Surveillance of Climate-Amplified Cholera Outbreak, Malawi, 20222023.
Chabuka L, Choga W, Mavian C, Moir M, Morgenstern C, Tegaly H, Sharma A, Wilkinson E, Naidoo Y, Inward R, Bhatt S, WilliamWint G, Khan K, Bogoch I, Kraemer M, Lourenço J, Baxter C, Tagliamonte M, Salemi M, Lessells R, Mitambo C, Chitatanga R, Bitilinyu-Bango J, Chiwaula M, Chavula Y, Bukhu M, Manda H, Chitenje M, Malolo I, Mwanyongo A, Mvula B, Nyenje M, de Oliveira T, Kagoli M, Emerging Infectious Diseases (2025), 31(6):. doi: 10.3201/eid3106.240930.:.
Importance of outbreak response research in bridging knowledge gaps on emerging infectious diseases.
Breiman R, Osoro E, Reithinger R, Wang D, Diamond M, Van Voorhis W, Wasserheit J, Rabinowitz P, Mboup S, Hemingway-Foday J, de Oliveira T, Boon A, Schieffelin J, Sempowski G, Moody M, Vasilakis N, Hanley K, Nasimiyu C, Situma S, Ngere I, Kyobe Bosa H, Nyakarahuka L, Bakamutumaho B, Woodson S, Njenga M, BMJ Global Health (2025), 10(6):e018297. doi: 10.1136/bmjgh-2024-018297.:.
Artificial intelligence for modelling infectious disease epidemics.
Kraemer M, Tsui J, Chang S, Lytras S, Khurana M, Vanderslott S, Bajaj S, Scheidwasser N, Curran-Sebastian J, Semenova E, Zhang M, Unwin H, Watson O, Mills C, Dasgupta A, Ferretti L, Scarpino S, Koua E, Morgan O, Tegally H, Paquet U, Moutsianas L, Fraser C, Ferguson N, Topol E, Duchêne D, Stadler T, Kingori P, Parker M, Dominici F, Shadbolt N, Suchard M, Ratmann O, Flaxman S, Holmes E, Gomez-Rodriguez M, Schölkopf B, Donnelly C, Pybus O, Cauchemez S, Bhatt S, Nature (2025), 638(8051):623-635. doi: 10.1038/s41586-024-08564-w.:.
Spatiotemporal disease suitability prediction for Oropouche virus and the role of vectors across the Americas.
Poongavanan J, Dunaiski M, Dor G, Kraemer M, Giovanetti M, Lim A, Brady O, Baxter C, Fonseca V, Alcantara L, de Oliveira T, Tegally H, medRxiv (2025), doi: 10.1101/2025.02.28.25323068.:.
Characterization of SARS-CoV-2 intrahost genetic evolution in vaccinated and non-vaccinated patients from the Kenyan population.
Lugano D, Mwangi K, Mware B, Kibet G, Osiany S, Kiritu E, Dobi P, Muli C, Njeru R, de Oliveira T, Njenga M, Routh A, Oyola S, medRxiv (2025), doi: 10.1101/2025.03.03.25323296.:.
Unveiling novel features and phylogenomic assessment of indigenous
Priestia megaterium
AB-S79 using comparative genomics.
Adeniji A, Chukwuneme C, Conceição E, Ayangbenro A, Wilkinson E, Maasdorp E, de Oliveira T, Babalola O, Microbiology Spectrum (2025), doi: 10.1128/spectrum.01466-24.:.
COVID-19 | News sub-variant being monitored closely
By: Tulio De Oliveira and CERI and KRISP teams
Genome Detective Coronavirus Typing Tool
Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes
Genome Detective Dengue Virus Typing Tool
This is a beta version of our Dengue Virus Typing tool. For the mean time, this tool should be used for evaluation only. Please send feedback to Tulio de Oliveira.
Genome Detective Zika Typing Tool
This is the first version of the Zika typing tool, which uses phylogenetic analysis to identify the species and genotype of the virus.
Genome Detective Chikungunya Typing Tool
This is the first version of the Chikungunya typing tool, which uses phylogenetic analysis to identify the species and genotype of the virus.
Genome Detective Yellow Fever Virus Typing Tool
This is the first version of the Yellow Fever typing tool, which uses phylogenetic analysis to identify the species and genotype of the virus.
This is the first version of our Arbovirus typing tool for Chikungunya, Dengue, Yellow Fever and Zika
REGA HIV Subtyping Tool V3 - Belgium Mirror
Phylogenetic tool to identify the HIV-1 subtypes and recombinants. Query sequences are analysed for recombination using bootscanning methods. The version 3 contains new CRFs (CRF01_AE to CRF47_BF).
KRISP has been created by the coordinated effort of the University of KwaZulu-Natal (UKZN), the Technology Innovation Agency (TIA) and the South African Medical Research Countil (SAMRC).
Location: K-RITH Tower Building
Nelson R Mandela School of Medicine, UKZN
719 Umbilo Road, Durban, South Africa.
Director: Prof. Tulio de Oliveira