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Alexander E Zarebski

Biographic Data

ID1751884
NAMEAlexander E Zarebski
GIVEN NAMESAlexander E
FAMILY NAMEZarebski
SIGNATUREZAREBSKI A E
AFFILIATIONSUniversity of Oxford
ORCID0000-0003-1824-7653
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS10
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2021
H-INDEX1
  • Higher risk of death from Covid-19 in low-income and non-White populations of São Paulo, Brazil

    Open Access•Siu Leung Li, Rafael Henrique Moraes Pereira et al.•ARTICLE•BMJ Global Health•2021

    Introduction Little evidence exists on the differential health effects of COVID-19 on disadvantaged population groups. Here we characterise the differential risk of hospitalisation and death in São Paulo state, Brazil, and show how vulnerability to COVID-19 is shaped by socioeconomic inequalities. Methods We conducted a cross-sectional study using hospitalised severe acute respiratory infections notified from March to August 2020 in the Sistema d…

  • Estimating the asymptomatic proportion of coronavirus disease 2019 (Covid-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020

    Open Access•Kenji Mizumoto, Katsushi Kagaya et al.•ARTICLE•Eurosurveillance•2020

    On 5 February 2020, in Yokohama, Japan, a cruise ship hosting 3,711 people underwent a 2-week quarantine after a former passenger was found with COVID-19 post-disembarking. As at 20 February, 634 persons on board tested positive for the causative virus. We conducted statistical modelling to derive the delay-adjusted asymptomatic proportion of infections, along with the infections’ timeline. The estimated asymptomatic proportion was 17.9% (95% cre…

  • Epidemiological and clinical characteristics of the Covid-19 epidemic in Brazil

    Open Access•William Marciel De Souza, Lewis Fletcher Bu et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 10•References: 42

  • Epidemiological and clinical characteristics of the Covid-19 epidemic in Brazil

    Open Access•William Marciel De Souza, Lewis Fletcher Bu et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 10•References: 42

  • Estimating the asymptomatic proportion of coronavirus disease 2019 (Covid-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020

    Open Access•Kenji Mizumoto, Katsushi Kagaya et al.•ARTICLE•Eurosurveillance•2020

    On 5 February 2020, in Yokohama, Japan, a cruise ship hosting 3,711 people underwent a 2-week quarantine after a former passenger was found with COVID-19 post-disembarking. As at 20 February, 634 persons on board tested positive for the causative virus. We conducted statistical modelling to derive the delay-adjusted asymptomatic proportion of infections, along with the infections’ timeline. The estimated asymptomatic proportion was 17.9% (95% cre…

  • Epidemiological and clinical characteristics of the Covid-19 epidemic in Brazil

    Open Access•William Marciel De Souza, Lewis Fletcher Bu et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 10•References: 42

  • Higher risk of death from Covid-19 in low-income and non-White populations of São Paulo, Brazil

    Open Access•Siu Leung Li, Rafael Henrique Moraes Pereira et al.•ARTICLE•BMJ Global Health•2021

    Introduction Little evidence exists on the differential health effects of COVID-19 on disadvantaged population groups. Here we characterise the differential risk of hospitalisation and death in São Paulo state, Brazil, and show how vulnerability to COVID-19 is shaped by socioeconomic inequalities. Methods We conducted a cross-sectional study using hospitalised severe acute respiratory infections notified from March to August 2020 in the Sistema d…

COVID-19 epidemiological studies (3 works) · Disease (3 works) · Medicine (3 works) · Demography (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Pandemic (2 works) · Population (2 works) · 2019-20 coronavirus outbreak (1 works) · Asymptomatic (1 works)

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