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Deepti Gurdasani

Biographic Data

ID8981384
NAMEDeepti Gurdasani
GIVEN NAMESDeepti
FAMILY NAMEGurdasani
SIGNATUREGURDASANI D
AFFILIATIONSBiosecurity Program The Kirby Institute, Faculty of Medicine and Health The University of New South Wales Sydney Australia
ORCID0000-0001-9996-6929
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Long Covid Symptom Clusters, Correlates and Predictors in a Highly Vaccinated Australian Population in 2023

    Open Access•Essa Tawfiq, Rosalie Chen et al.•ARTICLE•Health Expectations•2025

    BACKGROUND: Limited data exists regarding long Covid burden following Omicron infection in highly vaccinated populations. OBJECTIVE: To (1) characterise long Covid prevalence and predictors and (2) identify key symptom clusters and their correlates among long Covid patients, during an Omicron-predominant period in a highly vaccinated population. DESIGN: Anonymous, online, cross-sectional survey. SETTING: January 2023, Australia. PARTICIPANTS: Res…

No prominent works on this page.

  • Long Covid Symptom Clusters, Correlates and Predictors in a Highly Vaccinated Australian Population in 2023

    Open Access•Essa Tawfiq, Rosalie Chen et al.•ARTICLE•Health Expectations•2025

    BACKGROUND: Limited data exists regarding long Covid burden following Omicron infection in highly vaccinated populations. OBJECTIVE: To (1) characterise long Covid prevalence and predictors and (2) identify key symptom clusters and their correlates among long Covid patients, during an Omicron-predominant period in a highly vaccinated population. DESIGN: Anonymous, online, cross-sectional survey. SETTING: January 2023, Australia. PARTICIPANTS: Res…

COVID-19 and Mental Health (1 work) · COVID-19 Clinical Research Studies (1 work) · Cross-sectional study (1 work) · Demography (1 work) · Disease (1 work) · Environmental health (1 work) · Immunology (1 work) · Internal Medicine (1 work) · Logistic regression (1 work) · Long-Term Effects of COVID-19 (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