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Saira Ghafur

Biographic Data

ID8583637
NAMESaira Ghafur
GIVEN NAMESSaira
FAMILY NAMEGhafur
SIGNATUREGHAFUR S
AFFILIATIONSImperial College London
ORCID0000-0003-4487-6904
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Assessing Public Perceptions of Virtual Primary Care During the Covid-19 Pandemic in the UK, Germany, Sweden, and Italy

    Open Access•Felix Machleid, Roberto Fernández Crespo et al.•ARTICLE•SAGE Open•2024

    The COVID-19 pandemic has driven the transition from face-to-face visits to virtual care delivery. In this study, we explore patients’ perceptions of the benefits and challenges of using virtual primary care technologies during the pandemic, using machine learning approaches. A cross-sectional survey was conducted in August 2020 in Italy, Sweden, Germany, and the UK. Latent Dirichlet Allocation was used to identify themes of two open-ended questi…

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  • Assessing Public Perceptions of Virtual Primary Care During the Covid-19 Pandemic in the UK, Germany, Sweden, and Italy

    Open Access•Felix Machleid, Roberto Fernández Crespo et al.•ARTICLE•SAGE Open•2024

    The COVID-19 pandemic has driven the transition from face-to-face visits to virtual care delivery. In this study, we explore patients’ perceptions of the benefits and challenges of using virtual primary care technologies during the pandemic, using machine learning approaches. A cross-sectional survey was conducted in August 2020 in Italy, Sweden, Germany, and the UK. Latent Dirichlet Allocation was used to identify themes of two open-ended questi…

2019-20 coronavirus outbreak (1 work) · Data-Driven Disease Surveillance (1 work) · Family medicine (1 work) · Medicine (1 work) · Outbreak (1 work) · Pandemic (1 work) · Perception (1 work) · Political science (1 work) · Primary care (1 work) · Psychology (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