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Mapping COVID-19 Spread in a Tertiary Hospital

NCT04581096 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2646

Last updated 2021-11-10

No results posted yet for this study

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.

Conditions

  • Covid19
  • Spatial Visualization
  • Neural Network
  • Respiratory Disease
  • Pandemic
  • Disease Spread

Interventions

OTHER

no intervention

just descriptive analysis of clinical data

Sponsors & Collaborators

  • University of Valencia

    collaborator OTHER

  • Hospital General Universitario de Valencia

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-10-02
Primary Completion
2021-02-15
Completion
2021-06-15

Countries

  • Spain

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04581096 on ClinicalTrials.gov