
SWEAT Africa is an action-oriented platform uniting Africas startup ecosystem to collaborate, build trust, and turn ideas into impact.

SWEAT Africa is backed by leading development banks, venture funds, corporations, and foundations working together to empower African founders and scale scientific innovation.

SWEAT Africa empowers founders with community, mentorship, and practical skills to build scalable companies from Africa for the world.

Stellenbosch and Franschhoek combine Africas innovation ecosystem with wine, culture, and nature creating the perfect setting to explore, connect, and build during SWEAT Africa.

SWEAT Africa rewards active participation blending physical energy with strategic networking to spark real partnerships and momentum.

SWEAT Africa connects deep-tech founders, corporates, and investors to turn Africas scientific innovation into scalable, real-world solutions through collaboration, capital, and market access.

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
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