Mapping COVID-19 Spread in a Tertiary Hospital

NCT04581096 | Completed

• 1 other identifier: COVID19-MAPA
• Study Type: observational
• Target: 2,646
• Locations: 1 country
• Sites: 2

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.

Conditions

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

Outcome Measures

Primary Outcomes (1)

• spatiotemporal spread

  spatiotemporal spread of COVID-19 patient in our hospital

  February 1, 2020 to September 30, 2020

Secondary Outcomes (1)

• classification score

  February 1, 2020 to September 30, 2020

Interventions

no intervention OTHER

just descriptive analysis of clinical data

Eligibility Criteria

• Age: 18 Years - 100 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Patients with a positive test (PCR or serology) for SARS-CoV-2 in an outpatient regime system

You may qualify if:

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

You may not qualify if:

• hospitalisation in ward or ICU

Sponsors & Collaborators

• Hospital General Universitario de Valencia: lead
• University of Valencia: collaborator

Study Sites (2)

CHGUV

Valencia, 46014, Spain

Location

CHGUV

Valencia, Spain

Location

Related Publications (2)

• Romero Garcia C, Iftimi A, Briz-Redon A, Zanin M, Otero M, Ballester M, de Andres J, Landoni G, de Las Marinas D, Catala Bauset JC, Mandingorra J, Conca J, Correcher J, Ferrer C, Lozano M. Trends in Incidence and Transmission Patterns of COVID-19 in Valencia, Spain. JAMA Netw Open. 2021 Jun 1;4(6):e2113818. doi: 10.1001/jamanetworkopen.2021.13818.

  PMID: 34143191 BACKGROUND

• Briz-Redon A, Iftimi A, Correcher JF, De Andres J, Lozano M, Romero-Garcia C. A comparison of multiple neighborhood matrix specifications for spatio-temporal model fitting: a case study on COVID-19 data. Stoch Environ Res Risk Assess. 2022;36(1):271-282. doi: 10.1007/s00477-021-02077-y. Epub 2021 Aug 18.

  PMID: 34421343 BACKGROUND

MeSH Terms

Conditions

COVID-19; Spatial Navigation; Respiration Disorders

Condition Hierarchy (Ancestors)

Pneumonia, Viral; Pneumonia; Respiratory Tract Infections; Infections; Virus Diseases; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; RNA Virus Infections; Lung Diseases; Respiratory Tract Diseases; Spatial Behavior; Behavior

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Target Duration: 6 Months
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Anesthesia and Critical care consultant

Study Record Dates

• First Submitted: October 7, 2020
• First Posted: October 9, 2020
• Study Start: October 2, 2020
• Primary Completion: February 15, 2021
• Study Completion: June 15, 2021
• Last Updated: November 10, 2021

Record last verified: 2021-11

Data Sharing

• IPD Sharing: Will not share

Locations

ES (2)