Mapping COVID-19 Spread in a Tertiary Hospital

Covid19 Clinical Trial

— MEDyMAP  

Official title:

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

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04581096
• Other study ID #: COVID19-MAPA
• Status: Completed
• Start date: October 2, 2020
• Est. completion date: June 15, 2021

Study information

• Verified date: November 2021
• Source: Hospital General Universitario de Valencia
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational [Patient Registry]

Clinical Trial 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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 2646
• Est. completion date: June 15, 2021
• Est. primary completion date: February 15, 2021
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years to 100 Years

Eligibility

Inclusion Criteria:

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

Exclusion Criteria:

• hospitalisation in ward or ICU

Related Conditions & MeSH terms

• COVID-19
• Covid19
• Disease Spread
• Neural Network
• Pandemic
• Respiration Disorders
• Respiratory Disease
• Respiratory Tract Diseases
• Spatial Visualization

Intervention

Other:
• no intervention
just descriptive analysis of clinical data

Locations

Country	Name	City	State
Spain	CHGUV	Valencia
Spain	CHGUV	Valencia

Sponsors (2)

Lead Sponsor	Collaborator
Hospital General Universitario de Valencia	University of Valencia

Country where clinical trial is conducted

Spain, 

References & Publications (2)

Briz-Redón Á, Iftimi A, Correcher JF, De Andrés J, Lozano M, Romero-García 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. 2021 Aug 18:1-12. doi: 10.1007/s00477-021-02077-y. [Epub ahead of print] — View Citation

Romero García C, Iftimi A, Briz-Redón Á, Zanin M, Otero M, Ballester M, de Andrés J, Landoni G, de Las Marinas D, Catalá 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. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	spatiotemporal spread	spatiotemporal spread of COVID-19 patient in our hospital	February 1, 2020 to September 30, 2020
Secondary	classification score	risk classification score of each patients with clinical and analytical variables	February 1, 2020 to September 30, 2020