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Clinical Trial Summary

One of the major problems in suppressing the spreading of an epidemic resides in understanding and monitoring its propagation patterns, and in evaluating how these are modified by enforced policies. The standard solution requires detailed information at the microscopic scales, e.g. how infected people have moved and whom they came in contact with, which is hardly ever available. The researchers propose a novel approach to the study of the propagation of COVID-19, in which a proxy of this information is derived at macroscopic scales. This will be based on two ingredients: the spatiotemporal study in shiny with mathematical models with aggregated or non aggregated data and the reconstruction of functional networks of spreading patterns, and the development of a supporting software.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT04581096
Study type Observational [Patient Registry]
Source Hospital General Universitario de Valencia
Contact
Status Completed
Phase
Start date October 2, 2020
Completion date June 15, 2021

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