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7. Objectives To apply e-health methods to perform active monitoring and assess determinants of incident Infection of COVID-19 in a hospital population.
8. Study design Prospective, Single-centre, observational clinical study. 9. Disease or disorder under study Healthy people in risk of COVID-19 infection. 10. Main variable. Symptoms related to infection caused by SARS-Cov2. 11. Study population and total number of patients Men and women in general god health status aged between 18 and 80 years that currently are employees of Hospital de La Princesa .
12. Duration of treatment Each subject will be monitored, since its recruitment, for a period of 12 weeks.
13. Timetable and expected date of completion The overall duration of the study is estimated at about 6 months, from patient recruitment to the last data recorded by last subject. The aim is to carry out this study from March 2020 onwards.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Hospital de la Princesa employees |
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| Measure | Description | Time Frame |
|---|---|---|
| COVID-19 App-based platform | The primary objective of this trial is to investigate whether the use of a cell phone App-based platform is a useful tool to monitor the symptoms of a population in risk of SARS-Cov2 infection. The final aim is to assess determinants of incidence of infection of COVID-19 in people working in Hospital during the pandemia of SARS-Cov-2. | 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| COVID-19 infection | To monitor in real-time COVID-19 symptoms in the hospital workforce, which are a proxy of incident infection (Step 1) To identify in real-time clusters of COVID-19 symptoms and to facilitate control measures. To determine the incidence of new infection of COVID-19. To identify the determinants and risk/protective factors associated with this infection, in a workforce hospital population free of COVID-19 at the start of our study. |
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Inclusion Criteria:
Male or female subject age ≥ 18 years.
The subject has no symptoms in last week of COVID-19 infection such as:
The subject belongs to the Hospital de La Princesa workforce.
Exclusion Criteria:
1. People with any symptom suspicious of COVID-19 infection.
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The study will be conducted in the maximum number of subjects willing to participate and able to understand and sign the informed consent form.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Artuto García | Contact | +34 911 923 700 | arturo.garcia@ifth.es | |
| Marcos Maroto | Contact | +34 911 923 700 | marcos.maroto@ifth.es |
| Name | Affiliation | Role |
|---|---|---|
| Joan Soriano, MD, PhD | Fundación de Investigación Biomédica - Hospital Universitario de La Princesa | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hospital Universitario de la Princesa | Recruiting | Madrid | 28006 | Spain |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32845852 | Derived | Soriano JB, Fernandez E, de Astorza A, Perez de Llano LA, Fernandez-Villar A, Carnicer-Pont D, Alcazar-Navarrete B, Garcia A, Morales A, Lobo M, Maroto M, Ferreras E, Soriano C, Del Rio-Bermudez C, Vega-Piris L, Basagana X, Muncunill J, Cosio BG, Lumbreras S, Catalina C, Alzaga JM, Gomez Quilon D, Valdivia CA, de Lara C, Ancochea J. Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers. JMIR Public Health Surveill. 2020 Sep 21;6(3):e21653. doi: 10.2196/21653. |
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| ID | Term |
|---|---|
| D018352 | Coronavirus Infections |
| ID | Term |
|---|---|
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
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| 6 months |
| D007239 |
| Infections |