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Anita Burgun

Biographic Data

ID6164276
NAMEAnita Burgun
GIVEN NAMESAnita
FAMILY NAMEBurgun
SIGNATUREBURGUN A
AFFILIATIONSHôpital Européen Georges Pompidou, Service d'informatique médicale, biostatistiques et santé publique, AP-HP, Paris, France
ORCID0000-0001-6855-4366
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Low-income neighbourhood was a key determinant of severe Covid-19 incidence during the first wave of the epidemic in Paris

    Open Access•Anne-Sophie Jannot, Hector Countouris et al.•ARTICLE•Journal of Epidemiology and…•2021•References: 10

    BACKGROUND: Previous studies have demonstrated that socioeconomic factors are associated with COVID-19 incidence. In this study, we analysed a broad range of socioeconomic indicators in relation to hospitalised cases in the Paris area. METHODS: We extracted 303 socioeconomic indicators from French census data for 855 residential units in Paris and assessed their association with COVID-19 hospitalisation risk. FINDINGS: The indicators most associa…

  • Partage de données patients pour la recherche

    Open Access•Anita Burgun, Anne-Sophie Jannot et al.•ARTICLE•Ethics Medicine and Public Health•2016

No prominent works on this page.

  • Partage de données patients pour la recherche

    Open Access•Anita Burgun, Anne-Sophie Jannot et al.•ARTICLE•Ethics Medicine and Public Health•2016

  • Low-income neighbourhood was a key determinant of severe Covid-19 incidence during the first wave of the epidemic in Paris

    Open Access•Anne-Sophie Jannot, Hector Countouris et al.•ARTICLE•Journal of Epidemiology and…•2021•References: 10

    BACKGROUND: Previous studies have demonstrated that socioeconomic factors are associated with COVID-19 incidence. In this study, we analysed a broad range of socioeconomic indicators in relation to hospitalised cases in the Paris area. METHODS: We extracted 303 socioeconomic indicators from French census data for 855 residential units in Paris and assessed their association with COVID-19 hospitalisation risk. FINDINGS: The indicators most associa…

Artificial Intelligence in Healthcare and Education (1 work) · Census (1 work) · COVID-19 and Mental Health (1 work) · COVID-19 Clinical Research Studies (1 work) · COVID-19 epidemiological studies (1 work) · Decile (1 work) · Demography (1 work) · Environmental health (1 work) · Ethics in Clinical Research (1 work) · Geography (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