Mapping COVID-19 Spread in a Tertiary Hospital

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.

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Key information

Conditions

Covid19 Behavior COVID-19 Coronaviridae Infections Coronavirus Infections Disease Spread Infections Lung Diseases Neural Network Nidovirales Infections Pandemic Pneumonia Pneumonia, Viral RNA Virus Infections Respiration Disorders Respiratory Disease Respiratory Tract Diseases Respiratory Tract Infections Spatial Behavior Spatial Navigation Spatial Visualization Virus Diseases

Age range

18 year–100 year

Sex eligibility

All sexes

Study type

Observational

Primary location

CHGUV, Valencia, Spain

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Exclusion criteria

hospitalisation in ward or ICU

Treatment and study plan

No intervention

Other

just descriptive analysis of clinical data

Primary outcomes

spatiotemporal spread

Time frame: February 1, 2020 to September 30, 2020

spatiotemporal spread of COVID-19 patient in our hospital

Secondary outcomes

classification score

Time frame: February 1, 2020 to September 30, 2020

risk classification score of each patients with clinical and analytical variables

Sponsors and collaborators

Lead sponsor

Hospital General Universitario de Valencia

Other

Collaborators

University of Valencia

Registry information

Official study title

Evaluation of the Response of COVID-19 Spread With a Spatiotemporal Analysis in a Tertiary Hospital

Acronym: MEDyMAP

Important dates

Study start: 2020
Primary completion: 2021
Study completion: 2021
First posted: Oct 9, 2020
Registry last updated: Nov 10, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed