Mission:
To improve global disease outbreak forecasting by building the most comprehensive genomic database of mosquito populations in under-sequenced sub-Saharan regions.
Vision:
To become the backbone of vector-borne disease prediction and prevention by leveraging genomics, AI, and field-ready biotech tools.
Current Coverage
Our work is focused on under-researched regions where mosquito-borne diseases are most deadly — especially in parts of sub-Saharan Africa.We prioritize areas with limited outbreak surveillance and data gaps.
The Genomic Blind Spot in African Vector Surveillance
The interactive map visualizes mosquito genomic coverage as of Q1 2024:
Hover to see sample counts and their data sources (e.g., Ag1000G, Af1.1).
Green: countries with >1,500 WGS (Whole Genome Sequencing) samples
Orange: moderate sampling (hundreds)
Red: zero samples.
Blue: no data/evidence
Despite decades of global health efforts, much of Africa remains blind to a crucial disease-fighting tool: genomic surveillance of vector mosquitoes.
While most African health ministries rigorously track patient cases of malaria, dengue, and Zika, the mosquitoes transmitting those pathogens are rarely sequenced, especially in high-risk regions.
What Genomic Data Exists (and Where It Doesn’t)
We analysed publicly released data from the MalariaGEN Vector Observatory, a leading open-access repository for mosquito genomics. As of early 2024, it included:
From 32 countries across Africa
32,000+
Anopheles gambiae / coluzzii WGS sequences
Burkina Faso, Tanzania, Nigeria, Kenya, Zambia, Gabon, Mozambique, Cameroon
>100
Hundreds
of samples from:
Uganda
Contributed
2,800+
An. gambiae / coluzzii samples
1,160+
An. funestus samples
Without genomic data from vectors:
Early detection of insecticide resistance mutations is impossible.
We miss emerging variants that could alter vector competence or adaptability.
Predictive modeling of disease outbreaks based on vector evolution remains infeasible.
What KIBASEQ Is Doing About It?
Kibaseq is bridging this gap with a distributed genomic surveillance network across sub‑Saharan Africa:
Low-cost field kits are deployed in under-sampled regions.
Field partners collect mosquitoes, tag each with GPS, date, trap ID, environment metadata.
Samples are shipped to Prague for sequencing and analysis:
DNA barcoding for species ID.
Whole-genome sequencing (WGS) via Oxford Nanopore MinION.
Targeted pathogen screening and resistance marker detection.