Publications by authors named "Cristiano Pesaresi"

Dracunculiasis (Guinea Worm Disease) is a chronic disease that is primarily found in the arid and poor areas of our planet where water supply systems consist of open wells. This parasitic disease is transmitted to humans not only through the consumption of water contaminated with crustaceans harbouring larvae of , but also through the ingestion of paratenic (frogs) or transport hosts (fish). The natural progression of the disease is caused by adult worms invading connective tissues, leading to blistering and ulceration of the extremities, approximately one year after infection.

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Objective: Coronavirus disease 2019 demonstrated the inconsistencies in adequately responding to biological threats on a global scale due to a lack of powerful tools for assessing various factors in the formation of the epidemic situation and its forecasting. Decision support systems have a role in overcoming the challenges in health monitoring systems in light of current or future epidemic outbreaks. This paper focuses on some applied examples of logistic planning, a key service of the Earth Cognitive System for Coronavirus Disease 2019 project, here presented, evidencing the added value of artificial intelligence algorithms towards predictive hypotheses in tackling health emergencies.

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The pandemic emergency caused by the spread of COVID-19 has stressed the importance of promptly identifying new epidemic clusters and patterns, to ensure the implementation of local risk containment measures and provide the needed healthcare to the population. In this framework, artificial intelligence, GIS, geospatial analysis and space assets can play a crucial role. Social media analytics can be used to trigger Earth Observation (EO) satellite acquisitions over potential new areas of human aggregation.

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