Welcome to RAPiD - VBP
Dr. Kingsley Badu Presents at BIPS, Germany Dr. Kingsley Badu delivered a compelling speech on “Improving the Livelihood of African Communities through the One Health Approach and FAIR Data Principles: A Call for Collaborative Action.” His presentation traced the journey of the multi-country One Health network, linking human, animal, and environmental health data across
Read MoreTwo student researchers from the Rapid VBP KNUST, Nutifafa Agbenor-Efunam and Lakyiere Alice Bagyiereyele, are currently interning at the University of Bremen where they each delivered oral and poster presentations after their first month of research. Nutifafa Agbenor-Efunam is developing an energy-efficient mosquito monitoring system that adapts based on environmental cues like rainfall, temperature, and humidity. The system
Read MoreResearch Spotlight: Larva–Pupa Classification and AI4PEP Ghana’s Mission As part of the ongoing work under AI4PEP Ghana, student researcher Lakyiere Alice Bagyiereyele recently presented her project at the Nordic Probabilistic AI 2025 conference. Her research explores the use of probabilistic models and image-based classification to distinguish between mosquito larvae and pupae, a stage of the
Read MoreWe’re excited to share that AI4PEP Ghana has been officially featured by the Kwame Nkrumah University of Science and Technology (KNUST) for our innovative use of AI-powered acoustic sensing to combat mosquito-borne diseases. Our interdisciplinary team is pioneering methods to automatically identify mosquito species by their wingbeat sounds—advancing real-time disease surveillance and early outbreak detection
Read MoreWe’re thrilled to announce the publication of our latest systematic review under the AI4PEP Rapid-VBP Ghana project with the title: “Trends and Advances in Image-Based Mosquito Identification and Classification Using Machine Learning Models: A Systematic Review” This paper offers a comprehensive analysis of how machine learning, especially image-based approaches, is being used to address one
Read MoreThe Pan-African Mosquito Control Association – Ghana Chapter (PAMCA-GH) held its Maiden Conference in Accra, bringing together vector control professionals, AI researchers, entomologists, and climate scientists from across Ghana and beyond. The three-day conference, hosted at the Golden Bean Hotel, was a celebration of local expertise, global collaboration, and scientific innovation in the fight against
Read MoreThe Kwame Nkrumah University of Science and Technology (KNUST) proudly participated in the 2024 Annual Meeting of the American Society of Tropical Medicine and Hygiene (ASTMH), held from November 13-17 in New Orleans, Louisiana. This prestigious gathering brought together global health experts and researchers to address critical issues in tropical medicine. Our Contributions: Poster PresentationTitle:
Read MoreIn the ever-evolving world of technology, Artificial Intelligence (AI) is rapidly becoming a game-changer across various sectors. The AI4PEP (Artificial Intelligence for Public Engagement and Participation) initiative in Ghana is an exciting step in using AI to improve governance, transparency, and community engagement. A recently released video highlights the key developments and aims of this
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On March 10th, 2024, Dr. Rose-Mary Owusuaa Mensah Gyening, a key member of the RAPID-VBP research team, gave a talk about Artificial Intelligence (AI) and blockchain at the Great Hall of Kwame Nkrumah University of Science and Technology (KNUST). The event, organized by HIVE, focused on the theme of “The New Internet: Exploring Opportunities for
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The RAPID-VBP project aims to provide a robust public health surveillance system powered by an AI-based automated vector surveillance system, with the capacity for early detection and early warning signals of potential threats to improve public health response to outbreaks.The workshop anticipates engaging a diverse group of stakeholders, including public health officials, epidemiologists, and technologists,
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