NEWS SPOTLIGHT



the gem



mail and guardian



CLIMADE

KRISP NEWS


The Spark That Ignited SWEAT Africa

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


Who Are the SWEAT Investors & Funders?

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


Why Should Founders Join SWEAT?

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


SWEAT’s Backdrop

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


Show Up with Intention

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


Innovation in Africa: From Potential to Proof

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


the gem - genomics, epidemics & microbes Jan 2026

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


PUBLICATIONS SPOTLIGHT


Science


Nature Medicine


Nature

KRISP SCIENTIFIC PUBLICATIONS


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), 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, 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.:.



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.:.



KRISP VIDEOS


COVID-19 | News sub-variant being monitored closely
By: Tulio De Oliveira and CERI and KRISP teams

KRISP BIOINFORMATICS TOOLS



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.



Genome Detective

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).


MORE TOOLS


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