Jesús Carretero
Biographic Data
| ID | 9786901 |
|---|---|
| NAME | Jesús Carretero |
| GIVEN NAMES | Jesús |
| FAMILY NAME | Carretero |
| SIGNATURE | CARRETERO J |
| AFFILIATIONS | Universidad Carlos III de Madrid |
| ORCID | 0000-0002-1413-4793 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Estimación de la incidencia real de la Covid-19 en España
Introducción: Los modelos epidemiológicos han demostrado ser cruciales para apoyar la toma de decisiones de las autoridades sanitarias durante la pandemia de COVID-19, así como concienciar al público en general de las distintas medidas adoptadas por las autoridades (distanciamiento social, uso de mascarilla, vacunación, etc.). Objetivos: Describir la metodología para integrar diferentes fuentes de datos para generar una única serie temporal que p…
Simulation of Covid-19 Propagation Scenarios in the Madrid Metropolitan Area
This work presents simulation results for different mitigation and confinement scenarios for the propagation of COVID-19 in the metropolitan area of Madrid. These scenarios were implemented and tested using EpiGraph, an epidemic simulator which has been extended to simulate COVID-19 propagation. EpiGraph implements a social interaction model, which realistically captures a large number of characteristics of individuals and groups, as well as thei…
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Simulation of Covid-19 Propagation Scenarios in the Madrid Metropolitan Area
This work presents simulation results for different mitigation and confinement scenarios for the propagation of COVID-19 in the metropolitan area of Madrid. These scenarios were implemented and tested using EpiGraph, an epidemic simulator which has been extended to simulate COVID-19 propagation. EpiGraph implements a social interaction model, which realistically captures a large number of characteristics of individuals and groups, as well as thei…
Estimación de la incidencia real de la Covid-19 en España
Introducción: Los modelos epidemiológicos han demostrado ser cruciales para apoyar la toma de decisiones de las autoridades sanitarias durante la pandemia de COVID-19, así como concienciar al público en general de las distintas medidas adoptadas por las autoridades (distanciamiento social, uso de mascarilla, vacunación, etc.). Objetivos: Describir la metodología para integrar diferentes fuentes de datos para generar una única serie temporal que p…
COVID-19 epidemiological studies (2 works) · Medicine (2 works) · 2019-20 coronavirus outbreak (1 works) · Artificial Intelligence (1 works) · Computer Science (1 works) · COVID-19 diagnosis using AI (1 works) · COVID-19 Digital Contact Tracing (1 works) · Data science (1 works) · Data-Driven Disease Surveillance (1 works) · Econometrics (1 works)