Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maria Isabel Vigo"'
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2931 (2024)
This study investigates the long-term temporal patterns of sea level changes by analyzing monthly tide gauge data from 1950 to 2022 (42 to 72 years) along the European coastline and monthly altimetry data from 1992 to 2024 in the surrounding European
Externí odkaz:
https://doaj.org/article/63dbc97f055f41269f4d9dc84f3575d5
Autor:
Antonio Palazón-Bru, Julio Antonio Carbayo-Herencia, Maria Isabel Vigo, Vicente Francisco Gil-Guillén
Publikováno v:
PeerJ, Vol 4, p e1673 (2016)
Current predictive models for cardiovascular disease based on points systems use the baseline situation of the risk factors as independent variables. These models do not take into account the variability of the risk factors over time. Predictive mode
Externí odkaz:
https://doaj.org/article/59bda6050cfa48c184aed7d799680c62
Publikováno v:
Journal of Climate, 2015 Oct 01. 28(19), 7489-7502.
Externí odkaz:
https://www.jstor.org/stable/26196010
Publikováno v:
Gaceta Sanitaria, Vol 38, Iss , Pp 102357- (2024)
Resumen: Objetivo: Estimar los casos diarios de COVID-19 durante el primer año de pandemia en Santiago Región Metropolitana (SRM) y en Chile con cifras más realistas que las registradas oficialmente. Método: Estimación retrospectiva de los casos
Externí odkaz:
https://doaj.org/article/857e6116b54c42289edc3fed859e8b31
Autor:
David García-García, María Isabel Vigo, Eva S. Fonfría, Zaida Herrador, Miriam Navarro, Cesar Bordehore
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract The number of new daily infections is one of the main parameters to understand the dynamics of an epidemic. During the COVID-19 pandemic in 2020, however, such information has been underestimated. Here, we propose a retrospective methodology
Externí odkaz:
https://doaj.org/article/04a3c87030b64b458819e0fc9bd729d1