David E Singh
Biographic Data
| ID | 4919462 |
|---|---|
| NAME | David E Singh |
| GIVEN NAMES | David E |
| FAMILY NAME | Singh |
| SIGNATURE | SINGH D E |
| AFFILIATIONS | Universidad Carlos III de Madrid |
| ORCID | 0000-0002-8125-0049 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Punjab
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…
Predicción multifuente y multimétodo para dar soporte a la toma de decisiones frente a la Covid-19
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…
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…
Predicción multifuente y multimétodo para dar soporte a la toma de decisiones frente a la Covid-19
Punjab
Medicine (3 works) · Computer Science (2 works) · COVID-19 epidemiological studies (2 works) · Geography (2 works) · 2019-20 coronavirus outbreak (1 works) · Algorithm (1 works) · Artificial Intelligence (1 works) · Business, Innovation, and Economy (1 works) · COVID-19 diagnosis using AI (1 works) · COVID-19 Digital Contact Tracing (1 works)