Ghana
Hub: Kwame Nkrumah University of Science and Technology, Ghana (Node: Mahidol University, Thailand)
Title: Responsible AI for developing a Robust public health surveillance system: Early Detection and Prediction of Vector-borne Viral Zoonotic Pathogens
Team Members
Kingsley Badu
Director
Jerry Kponyoh
Team Member
Augustina Sylverken
Team Member
Edmund Yamba
Team Member
Franklin Asiedu-Bekoe
Team Member
Michael Owusu
Team Member
Rosemary Owusu-Mensah
Team Member
Rudith King
Team Member
Peter Haddawy
Team Member
Myat Su Ying
Team Member
Dominique Bicout
Team Member
Anuwat Wiratsudakul
Team Member
Dolvara Gunatilaka
Team Member
Saranath Lawpoolsri
Team Member
Patchara Sriwichai
Team MemberGeneral Objectives
1. Develop bio-acoustic sensors to conduct vector monitoring at unprecedented scale and low cost, replacing the current practice of light traps and manual counting with automated solutions based on responsible AI and Edge Computing.
2. Identify novel viruses in vectors, and animal reservoirs with the potential to replicate in humans via NGS metagenomic sequencing. Thus, ensuring readiness for outbreaks.
3. Develop climate and environmentally-driven, dynamical host–vector models to predict the risk of viral outbreaks in current and future climates.
4. Monitor Health Inequalities to characterize current realities of infectious disease pandemics on women and children within vulnerable communities to recommend.
Specific Objectives
1. Predictive modeling predict of mosquito populations mortality, survival time, and vector characteristics.
2. Bioacoustic IoT sensors for vector surveillance.
3. Identification of circulating and novel pathogens with NGS.
4. Vulnerable health group monitoring.
5. Research uptake