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Jon Frias‐Gomez

Biographic Data

ID7925264
NAMEJon Frias‐Gomez
GIVEN NAMESJon
FAMILY NAMEFrias‐Gomez
SIGNATUREGÓMEZ J F
AFFILIATIONSInstitut d'Investigació Biomédica de Bellvitge
ORCID0000-0002-0366-676X
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Predicting Ovarian-Cancer Burden in Catalonia by 2030

    Open Access•Paula Peremiquel‐Trillas, Paula Peremiquel-Trillas et al.•ARTICLE•International Journal of…•2022

    Ovarian cancer is the most lethal gynaecological cancer in very-high-human-development-index regions. Ovarian cancer incidence and mortality rates are estimated to globally rise by 2035, although incidence and mortality rates depend on the region and prevalence of the associated risk factors. The aim of this study is to assess changes in incidence and mortality of ovarian cancer in Catalonia by 2030. Bayesian autoregressive age-period-cohort mode…

No prominent works on this page.

  • Predicting Ovarian-Cancer Burden in Catalonia by 2030

    Open Access•Paula Peremiquel‐Trillas, Paula Peremiquel-Trillas et al.•ARTICLE•International Journal of…•2022

    Ovarian cancer is the most lethal gynaecological cancer in very-high-human-development-index regions. Ovarian cancer incidence and mortality rates are estimated to globally rise by 2035, although incidence and mortality rates depend on the region and prevalence of the associated risk factors. The aim of this study is to assess changes in incidence and mortality of ovarian cancer in Catalonia by 2030. Bayesian autoregressive age-period-cohort mode…

Cancer (1 work) · Cohort (1 work) · Cohort effect (1 work) · Cohort study (1 work) · Demography (1 work) · Demography (1 work) · Endometriosis Research and Treatment (1 work) · Gynecology (1 work) · Incidence (geometry (1 work) · Internal Medicine (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae