Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Miguel Ángel Martínez-Beneito"'
Autor:
Mónica López-Lacort, Alejandro Orrico-Sánchez, Miguel Ángel Martínez-Beneito, Cintia Muñoz-Quiles, Javier Díez-Domingo
Publikováno v:
BMC Infectious Diseases, Vol 20, Iss 1, Pp 1-8 (2020)
Abstract Background Several studies have shown a substantial impact of Rotavirus (RV) vaccination on the burden of RV and all-cause acute gastroenteritis (AGE). However, the results of most impact studies could be confused by a dynamic and complex sp
Externí odkaz:
https://doaj.org/article/28a814552c6b47bfb2ce6dc1a0c56f17
Autor:
M. Antònia Barceló, Marc Saez, Gemma Cano-Serral, Miguel Ángel Martínez-Beneito, José Miguel Martínez, Carme Borrell, Ricardo Ocaña-Riola, Imanol Montoya, Montse Calvo, Gonzalo López-Abente, Maica Rodríguez-Sanz, Silvia Toro, José Tomás Alcalá, Carme Saurina, Pablo Sánchez-Villegas, Adolfo Figueiras
Publikováno v:
Gaceta Sanitaria, Vol 22, Iss 6, Pp 596-608 (2008)
Aunque la experiencia en el estudio de las desigualdades en la mortalidad en las ciudades españolas es amplia, quedan grandes núcleos urbanos que no han sido investigados utilizando la sección censal como unidad de análisis territorial. En este c
Externí odkaz:
https://doaj.org/article/a6c39c2dee9846458f82990be3606451
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0133649 (2015)
In recent years, small-area-based ecological regression analyses have been published that study the association between a health outcome and a covariate in several cities. These analyses have usually been performed independently for each city and hav
Externí odkaz:
https://doaj.org/article/932c5b4183844ca2a2bf33e8e7914cb5
Publikováno v:
Vaccine. 33:2183-2188
Objective To develop a method to estimate vaccination coverage using both a computerized vaccine registry with an unknown underreporting rate and a seroprevalence study. A real example of a meningococcal C conjugate vaccine (MCCV) coverage estimation
Publikováno v:
International Journal of Health Geographics, Vol 19, Iss 1, Pp 1-14 (2020)
Abstract Background Most epidemiological risk indicators strongly depend on the age composition of populations, which makes the direct comparison of raw (unstandardized) indicators misleading because of the different age structures of the spatial uni
Externí odkaz:
https://doaj.org/article/5c7a4ce29e1d4a7ebf3a0ca00c5af99c
Publikováno v:
Revstat Statistical Journal, Vol 13, Iss 1 (2015)
This paper reviews different approaches for determining the epidemic period from influenza surveillance data. In the first approach, the process of differenced incidence rates is modelled either with a first-order autoregressive process or with a Gau
Externí odkaz:
https://doaj.org/article/1bc855605c944804a0e5e9f88a4c8b07
Publikováno v:
Revista de Salud Ambiental, Vol 17 (2017)
Externí odkaz:
https://doaj.org/article/9c129e7f9f2348b4923b9ae360015788