Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Mohammad Al‐Bsheish

Biographic Data

ID7885677
NAMEMohammad Al‐Bsheish
GIVEN NAMESMohammad
FAMILY NAMEAl‐Bsheish
SIGNATUREAL BSHEISH M
AFFILIATIONSBatterjee Medical College
ORCID0000-0003-2698-8101
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Exposure Detection Applications Acceptance

    Open Access•Adi Alsyouf, Abdalwali Lutfi et al.•ARTICLE•International Journal of…•2022

    The pandemic's context is rife with numerous dangerous threats and high fear levels, influencing human decision-making. Such characteristics are identified by investigating the acceptance of exposure detection apps from the technology acceptance model (TAM) perspective. This study purposed a model to investigate protection technology acceptance, specifically exposure detection apps in the context of COVID-19. Quantitative study approach and a cro…

No prominent works on this page.

  • Exposure Detection Applications Acceptance

    Open Access•Adi Alsyouf, Abdalwali Lutfi et al.•ARTICLE•International Journal of…•2022

    The pandemic's context is rife with numerous dangerous threats and high fear levels, influencing human decision-making. Such characteristics are identified by investigating the acceptance of exposure detection apps from the technology acceptance model (TAM) perspective. This study purposed a model to investigate protection technology acceptance, specifically exposure detection apps in the context of COVID-19. Quantitative study approach and a cro…

2019-20 coronavirus outbreak (1 work) · Betacoronavirus (1 work) · Computer Science (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · Coronavirus Infections (1 work) · COVID-19 Digital Contact Tracing (1 work) · Human Mobility and Location-Based Analysis (1 work) · Infectious disease (medical specialty (1 work) · IoT and Edge/Fog Computing (1 work) · 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