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GLEAM, the global epidemic and mobility model, combines real-world data on populations and human mobility with elaborate stochastic models of disease transmission to deliver analytic and forecasting power to address the challenges faced in developing intervention strategies that minimise the impact of potentially devastating epidemics
SWOT Analysis for GLEAM |
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Helpful | Harmful | |
Internal |
Strengths• Supports policy-making and emergency planning by developing epidemic models and scenario analysis able to gauge the actual threat of highly pathogenic diseases. • Allows the modelling of containment and mitigation strategies providing quantitative projections that better informs the analysis of their likely impact. • Delivers forecasts for the spreading pattern of infectious diseases epidemics. • Provides a suite of computational tools to help modelling the spread of a disease, understanding observed epidemic patterns, studying the effectiveness of different intervention strategies. The tools are available to researchers, health-care professionals and policy makers. |
Weaknesses• Low ease of use • Low TRL • While the model is undoubtedly the best solution for diseases spread through transportation (and specifically airlines), it might be too sophisticated when dealing with more restricted areas of application. |
External |
Opportunities• Effectively limit the social and economic damage caused by infectious diseases • Deliver forecasts for the spreading pattern of infectious diseases epidemics by combining real-world data covering the distribution of the world-wide population, their daily interactions and journeys, and the spatial structure and volumes of national and international air traffic. • GLEAM project team should search for collaborations with public administrations and / or NGOs, in order to achieve great results in terms of public health and relative application. |
Threats• Globalisation: In a globalised world, we cannot ignore the international spread of disease. International travel will bring diseases in, and spread infections to far flung community • Misinterpretation • Populist mobilisation of masses |
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