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We’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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We are pleased to announce the successful completion of the AI4PEP RAPID-VBP Project Inception and Stakeholder Engagement Workshop, which was hosted at KNUST’s Impact Building. The event brought together a diverse group of stakeholders, including government officials, public health officials, epidemiologists, technologists, and researchers, to explore the integration of AI in vector-borne disease surveillance. We
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Dr. Asiedu-Bekoe Franklin, at the AI4PEP RAPID-VBP Inception Workshop, delivered an insightful presentation on the burden of vector-borne diseases in Ghana, shedding light on a critical public health issue. He highlighted that diseases such as malaria, onchocerciasis, lymphatic filariasis, yellow fever, and schistosomiasis continue to pose significant health challenges across the nation. Dr. Asiedu-Bekoe shared
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We are excited to announce that the AI4PEP Inception Workshop was featured on MyJoyOnline! This event, hosted at KNUST’s Impact Building, marked a significant step forward in integrating AI with public health strategies, specifically targeting vector-borne diseases. The workshop brought together a diverse group of stakeholders, including government officials, public health experts, epidemiologists, technologists, and
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