Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Patrik Lenz"'
Autor:
Tjede Funk, Francesco Innocenti, Joana Gomes Dias, Lina Nerlander, Tanya Melillo, Charmaine Gauci, Jackie M Melillo, Patrik Lenz, Helena Sebestova, Pavel Slezak, Iva Vlckova, Jacob Dag Berild, Camilla Mauroy, Elina Seppälä, Ragnhild Tønnessen, Anne Vergison, Joël Mossong, Silvana Masi, Laetitia Huiart, Gillian Cullen, Niamh Murphy, Lois O’Connor, Joan O’Donnell, Piers Mook, Richard G Pebody, Nick Bundle
Publikováno v:
Eurosurveillance
Background Underlying conditions are risk factors for severe COVID-19 outcomes but evidence is limited about how risks differ with age. Aim We sought to estimate age-specific associations between underlying conditions and hospitalisation, death and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01e156f856d2ce486ddef94581dd73b3
https://hdl.handle.net/11250/3065577
https://hdl.handle.net/11250/3065577
Autor:
Laetitia Huart, Pavel Slezak, Elina Seppälä, Nick Bundle, Lois O'Connor, Lina Nerlander, Niamh Murphy, Jackie M. Melillo, Gillian Cullen, Camilla Mauroy, Helena Sebestova, Richard Pebody, Iva Vlckova, Silvana Md Masi, Francesco Innocenti, Tanya Melillo, Joël Mossong, Joan O'Donnell, Jacob Dag Berild, Tjede Funk, Joana Gomes Dias, Patrik Lenz, Ragnhild Tønnessen, Charmaine Gauci, Piers Mook
Publikováno v:
SSRN Electronic Journal.
Background: Underlying conditions have been found to be associated with severe COVID-19 outcomes, such as hospitalisation and death. This study aimed to estimate age-specific adjusted relative and absolute effects of individual underlying conditions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3d675a53f325a104ab79796ce03cb2f
https://doi.org/10.2139/ssrn.3884933
https://doi.org/10.2139/ssrn.3884933
Autor:
Michel Breger, Patrik Lenz
Publikováno v:
Proceedings of the International Astronomical Union. 2004:786-790
Period04, a reworked and extended version of Period98 (Sperl 1998) and PERIOD/PERDET (Breger 1990), is a new software package especially dedicated to the statistical analysis of large astronomical data sets containing gaps. It offers tools to extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf76f7fe78b279567c062b3ab0ed623c
https://doi.org/10.1017/s1743921305009750
https://doi.org/10.1017/s1743921305009750