Zobrazeno 1 - 10
of 14
pro vyhledávání: '"M. I. Vigo"'
Autor:
Miriam Navarro, Zaida Herrador, M. I. Vigo, David García-García, Cesar Bordehore, Eva S. Fonfría
Publikováno v:
Repisalud
Instituto de Salud Carlos III (ISCIII)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Instituto de Salud Carlos III (ISCIII)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
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 to estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::467e02aacc955ba1f1dd0315e2e14872
http://hdl.handle.net/20.500.12105/13863
http://hdl.handle.net/20.500.12105/13863
Autor:
Cesar Bordehore, David García-García, M. I. Vigo, Eva S. Fonfría, Miriam Navarro, Zaida Herrador
We present a literature review and meta-analysis of relevant epidemiological parameters (24 for adults, 7 for children) of COVID-19. Standardization of these parameters is key to performing valid clinical and mathematical modeling, as well as forecas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::257ba70db5a111920db8cc3b838f6006
https://doi.org/10.1101/2020.06.17.20133587
https://doi.org/10.1101/2020.06.17.20133587
Publikováno v:
Pageoph Topical Volumes ISBN: 9783030119577
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3240cbc932fe2337102c2e91b31bca9f
https://doi.org/10.1007/978-3-030-11958-4_16
https://doi.org/10.1007/978-3-030-11958-4_16
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Universidad de Alicante (UA)
We present a data-based approach to study the mean and the climatology of the surface geostrophic currents (SGC) for the Mediterranean Sea, using satellite ocean surface altimetry observations for 22 years (1993–2014) in conjunction with the geoid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e19cff03d6893bb6e8ba5bd3155cc6e1
https://hdl.handle.net/10045/83152
https://hdl.handle.net/10045/83152
Publikováno v:
Marine Geodesy. 35:175-189
The surface geostrophic currents (SGC) can be derived via the principle of geostrophy from the dynamic height of the ocean, or the deviation of the true, variable sea surface height with respect to the Earth's static geoid, both of which can be measu
We have studied, for the first time, variations in absolute surface geostrophic currents (SGC) using satellite data only. The proposed approach combines 18 years’ altimetry data, which provide reliable measurements of absolute sea level (ASL), with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f90078f805a62c1b11c86c82e7270574
https://hdl.handle.net/10045/62692
https://hdl.handle.net/10045/62692
With increased geoid resolution provided by the gravity and steady-state ocean circulation explorer (GOCE) mission, the ocean’s mean dynamic topography (MDT) can be now estimated with an accuracy not available prior to using geodetic methods. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::475231f0afde75cd378ef16edd69ce85
https://hdl.handle.net/10045/62707
https://hdl.handle.net/10045/62707
Autor:
Julio Antonio Carbayo-Herencia, M. I. Vigo, Vicente Francisco Gil-Guillén, Antonio Palazón-Bru
Publikováno v:
PeerJ
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
PeerJ, Vol 4, p e1673 (2016)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::72b3acb2274bda59ed8c56fea0a938d4
https://hdl.handle.net/10045/53122
https://hdl.handle.net/10045/53122
Publikováno v:
Journal of Geodynamics. 52:271-278
Sixteen years of satellite radar altimeter data are analyzed to investigate the sea-level variation (SLV) of the Mediterranean Sea. The time evolution of the overall mean sea level of the Mediterranean Sea follows its own regional dynamics. The geogr
Publikováno v:
Pure and Applied Geophysics. 169:1411-1423
Sea level variations (SLV) can be measured by tide gauges (TG) at the coast and by altimeters onboard satellites. The former measures the SLV relative to the coast, whereas altimetry provides the SLV with respect to a geocentric reference frame. The