Ali Nizar Latif

Biographic Data

ID9019337
NAMEAli Nizar Latif
GIVEN NAMESAli Nizar
FAMILY NAMELatif
SIGNATURELATIF A N
AFFILIATIONSWeill Cornell Medical College in Qatar
ORCID0000-0001-9011-4391
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX0

  • All-cause and Covid-19 mortality in Qatar during the Covid-19 pandemic

    Open AccessAsma A AlNuaimi, Asma Ali Al-Nuaimi et al.ARTICLEBMJ Global Health2023

    OBJECTIVE: To investigate all-cause mortality, COVID-19 mortality and all-cause non-COVID-19 mortality in Qatar during the COVID-19 pandemic. METHODS: A national, retrospective cohort analysis and national, matched, retrospective cohort studies were conducted between 5 February 2020 and 19 September 2022. RESULTS: There were 5025 deaths during a follow-up time of 5 247 220 person-years, of which 675 were COVID-19 related. Incidence rates were 0.9…

  • Covid-19 disease severity in persons infected with the Omicron variant compared with the Delta variant in Qatar

    Open AccessAdeel A Butt, Soha R Dargham et al.ARTICLEJournal of Global Health2022

    Background: Understanding the disease severity associated with the Omicron variant of the SARS-CoV-2 virus is important in determining appropriate management strategies at the individual and population levels. We determined the severity of SARS-CoV-2 infection in persons infected with the Omicron vs the Delta variant. Methods: We identified individuals with SARS-CoV-2 infection with Delta and propensity-score matched controls with Omicron variant…

  • Characterizing the effective reproduction number during the Covid-19 pandemic: Insights from Qatar’s experience

    Open AccessRaghid Bsat, HIAM CHEMAITELLY et al.ARTICLEJournal of Global Health2022

    BACKGROUND: estimations was conducted to guide the national COVID-19 response in Qatar, from the onset of the pandemic until August 18, 2021. METHODS: estimates were assessed by calculating correlation coefficients, and agreements between these estimates were assessed through Bland-Altman plots. RESULTS: . CONCLUSIONS: estimations in guiding national responses to the COVID-19 pandemic, even in resource-limited settings

  • Mathematical modeling of the Sars-CoV-2 epidemic in Qatar and its impact on the national response to Covid-19

    Open AccessHoussein H Ayoub, HIAM CHEMAITELLY et al.ARTICLEJournal of Global Health2021

    BACKGROUND: Mathematical modeling constitutes an important tool for planning robust responses to epidemics. This study was conducted to guide the Qatari national response to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic. The study investigated the epidemic's time-course, forecasted health care needs, predicted the impact of social and physical distancing restrictions, and rationalized and justified easing of restrictio…