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| Name | Class |
|---|---|
| University of Valencia | OTHER |
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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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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| no intervention | Other | just descriptive analysis of clinical data |
| Measure | Description | Time Frame |
|---|---|---|
| spatiotemporal spread | spatiotemporal spread of COVID-19 patient in our hospital | February 1, 2020 to September 30, 2020 |
| Measure | Description | Time Frame |
|---|---|---|
| classification score | risk classification score of each patients with clinical and analytical variables | February 1, 2020 to September 30, 2020 |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with a positive test (PCR or serology) for SARS-CoV-2 in an outpatient regime system
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHGUV | Valencia | 46014 | Spain | |||
| CHGUV |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34143191 | Background | 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. | |
| 34421343 |
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there is not ipd sharing planned
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| D065854 | Spatial Navigation |
| D012120 | Respiration Disorders |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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| Valencia |
| Spain |
| 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. |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D013037 | Spatial Behavior |
| D001519 | Behavior |