University of Geneva
Partner
The Global Research and Analyses for Public Health (GRAPH) Network is a multidisciplinary community of health professionals, universities, and international organizations from over 30 countries working in the fields of Public Health, Epidemiology, Data Analysis, Software Development, Social Science, and Education.
Founded as part of a collaboration between the WHO African Regional Office (WHO AFRO) and the University of Geneva (UNIGE), the GRAPH Network is dedicated to partnering with a broad range of stakeholders to build capacity in health data analysis. Leveraging in-country expertise and perspectives of local communities, the GRAPH Network has developed cutting-edge tools and training materials to support disease surveillance and public health research efforts worldwide:
• The GRAPH Courses is an education program which provides affordable, specialized training for public health data analysts in various career levels.
• The EpiGraphHub (EGH) is a cloud-based platform for public health data, collection, harmonization, visualization and analysis, with a focus on epidemiological applications.
• LiteRev is a semi-automated tool designed to streamline the process of conducting Literature Reviews by utilizing the capabilities of Natural Language Processing and Machine Learning techniques.
Founded as part of a collaboration between the WHO African Regional Office (WHO AFRO) and the University of Geneva (UNIGE), the GRAPH Network is dedicated to partnering with a broad range of stakeholders to build capacity in health data analysis. Leveraging in-country expertise and perspectives of local communities, the GRAPH Network has developed cutting-edge tools and training materials to support disease surveillance and public health research efforts worldwide:
• The GRAPH Courses is an education program which provides affordable, specialized training for public health data analysts in various career levels.
• The EpiGraphHub (EGH) is a cloud-based platform for public health data, collection, harmonization, visualization and analysis, with a focus on epidemiological applications.
• LiteRev is a semi-automated tool designed to streamline the process of conducting Literature Reviews by utilizing the capabilities of Natural Language Processing and Machine Learning techniques.
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