Taking African Science to the Global Health Conversation
At a global health discussion during the 2026 United Nations General Assembly in New York, Dr Monika Moir shared how African scientific expertise, genomic surveillance, and predictive modelling can help countries anticipate outbreaks and build more resilient healthcare systems.
Praelexis: Bringing Artificial Intelligence into Real-World Healthcare
Turning complex data into practical solutions.
Southern Edge Bio: Automating the Future of Clinical Trials in Africa
Making clinical research more widely accessible.
Shared Spaces, Shared Health: South Africa Marks International One Health Day
Emerging infectious diseases do not respect the boundaries between people, animals and the environment. To mark International One Health Day, Stellenbosch University’s Centre for Epidemic Response and Innovation (CERI) and the University of Pretoria host a free online webinar on Tuesday 3 November 2026, from 08:50 to 13:00 SAST. Ten speakers will examine how a One Health approach strengthens South Africa’s preparedness. Topics include tuberculosis at the human–wildlife interface, spillover prevention, arbovirus surveillance and Ebola preparedness.
Chadash Enterprise: Bringing Rooibos Science to Biotech Innovation
Transforming indigenous research into commercial solutions.
This month, two very different events brought together scientists, innovators, and health leaders with a shared purpose: turning knowledge and innovation into real-world impact. At VEME 2026, scientists explored how genomics, combined with other disciplines and AI, can detect emerging threats earlier.
Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny.
Hunt M, Hinrichs A, Anderson D, Karim L, Dearlove B, Knaggs J, Constantinides B, Fowler P, Rodger G, Street T, Lumley S, Webster H, Sanderson T, Ruis C, Kotzen B, de Maio N, Amenga-Etego L, Amuzu D, Avaro M, Awandare G, Ayivor-Djanie R, Barkham T, Bashton M, Batty E, Bediako Y, De Belder D, Benedetti E, Bergthaler A, Boers S, Campos J, Carr R, Chen Y, Cuba F, Dattero M, Dejnirattisai W, Dilthey A, Duedu K, Endler L, Engelmann I, Francisco N, Fuchs J, Gnimpieba E, Groc S, Gyamfi J, Heemskerk D, Houwaart T, Hsiao N, Huska M, Hölzer M, Iranzadeh A, Jarva H, Jeewandara C, Jolly B, Joseph R, Kant R, Ki K, Kurkela S, Lappalainen M, Lataretu M, Lemieux J, Liu C, Malavige G, Mashe T, Mongkolsapaya J, Montes B, Mora J, Morang’a C, Mvula B, Nagarajan N, Nelson A, Ngoi J, da Paixão J, Panning M, Poklepovich T, Quashie P, Ranasinghe D, Russo M, San J, Sanderson N, Scaria V, Screaton G, Sessions O, Sironen T, Sisay A, Smith D, Smura T, Supasa P, Suphavilai C, Swann J, Tegally H, Tegomoh B, Vapalahti O, Walker A, Wilkinson R, Williamson C, Zair X, Biere B, Dürrwald R, Mache C, Oh D, Schulze J, Wedde M, Wolff T, Fuchs S, Semmler T, Paraskevopoulou S, Kerber R, Kröger S, Haas W, Bode K, Corman V, Erren M, Finzer P, Grosser R, Haffner M, Hermann B, Kiel C, Krumbholz A, Lorentz T, Meinck K, Nitsche A, Petzold M, Schwanz T, Szabados F, Tewald F, Tiemann C, de Oliveira T, Peto T, Crook D, Corbett-Detig R, Iqbal Z, Nature Methods (2026), 23:653-662.
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, 2022–2023.
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), :.
Spatiotemporal disease suitability prediction for Oropouche virus and the role of vectors across the Americas.
Poongavanan J, Dunaiski M, D’or 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.:.
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 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 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 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.
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.
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