Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Simon Fong

Datos Biográficos

ID7758707
NOMBRESimon Fong
NOMBRESSimon
APELLIDOFong
FIRMAFONG S
AFILIACIONESUniversity of Macau
ORCID0000-0002-1848-7246
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • All-People-Test-Based Methods for Covid-19 Infectious Disease Dynamics Simulation Model

    Open Access•Xian-Xian Liu, Jie Yang et al.•ARTICLE•International Journal of…•2022

    The conversion rate between asymptomatic infections and reported/unreported symptomatic infections is a very sensitive parameter for model variables that spread COVID-19. This is important information for follow-up use in screening, prediction, prognostics, contact tracing, and drug development for the COVID-19 pandemic. The model described here suggests that there may not be enough researchers to solve all of these problems thoroughly and effect…

  • Development of interventions for an intelligent and individualized mobile health care system to promote healthy diet and physical activity

    Open Access•Yuling Chen, Fangqin Wu et al.•ARTICLE•BMC Public Health•2019

    Chinese Clinical Trial Registry: ChiCTR-INR-16010242. Registered 24 December 2016. http://www.chictr.org.cn/index.aspx

Sin obras prominentes en esta página.

  • Development of interventions for an intelligent and individualized mobile health care system to promote healthy diet and physical activity

    Open Access•Yuling Chen, Fangqin Wu et al.•ARTICLE•BMC Public Health•2019

    Chinese Clinical Trial Registry: ChiCTR-INR-16010242. Registered 24 December 2016. http://www.chictr.org.cn/index.aspx

  • All-People-Test-Based Methods for Covid-19 Infectious Disease Dynamics Simulation Model

    Open Access•Xian-Xian Liu, Jie Yang et al.•ARTICLE•International Journal of…•2022

    The conversion rate between asymptomatic infections and reported/unreported symptomatic infections is a very sensitive parameter for model variables that spread COVID-19. This is important information for follow-up use in screening, prediction, prognostics, contact tracing, and drug development for the COVID-19 pandemic. The model described here suggests that there may not be enough researchers to solve all of these problems thoroughly and effect…

Medicine (2 obras) · Behavioral Health and Interventions (1 obras) · Biology (1 obras) · Biostatistics (1 obras) · Computer Science (1 obras) · Contact tracing (1 obras) · Coronavirus disease 2019 (COVID-19 (1 obras) · COVID-19 epidemiological studies (1 obras) · Data-Driven Disease Surveillance (1 obras) · Disease (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae