Mapping COVID-19 Spread in a Tertiary Hospital
- Conditions
- Covid19Spatial VisualizationRespiratory DiseaseNeural NetworkPandemicDisease Spread
- Registration Number
- NCT04581096
- Lead Sponsor
- Hospital General Universitario de Valencia
- Brief 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 2646
- positive test (PCR or serology) for SARS-CoV-2
- outpatient follow-up
- hospitalisation in ward or ICU
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method spatiotemporal spread February 1, 2020 to September 30, 2020 spatiotemporal spread of COVID-19 patient in our hospital
- Secondary Outcome Measures
Name Time Method classification score February 1, 2020 to September 30, 2020 risk classification score of each patients with clinical and analytical variables
Trial Locations
- Locations (1)
CHGUV
🇪🇸Valencia, Spain