Mapping COVID-19 Spread in a Tertiary Hospital (MEDyMAP)

Hospital General Universitario de Valencia

Status: Completed

Conditions: Respiratory Disease; Pandemic; Spatial Visualization; Covid19; Disease Spread; Neural Network

Treatments: Other: no intervention

Study type: Observational

Funder types: Other

Identifiers

NCT04581096

COVID19-MAPA

Details and patient eligibility

About

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.

Enrollment: 2,646 patients

Sex: All

Ages: 18 to 100 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• positive test (PCR or serology) for SARS-CoV-2
• outpatient follow-up

Exclusion criteria

• hospitalisation in ward or ICU