C
Clara Weil
Researcher at Tel Aviv University
Publications - 34
Citations - 1233
Clara Weil is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 9, co-authored 23 publications receiving 889 citations. Previous affiliations of Clara Weil include International Diabetes Federation.
Papers
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Global estimates of undiagnosed diabetes in adults
TL;DR: Estimates of the prevalence of undiagnosed diabetes mellitus (UDM) using available data from high quality representative population-based sources suggest there is a high proportion of UDM globally, and especially in developing countries.
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The International Diabetes Federation diabetes atlas methodology for estimating global and national prevalence of diabetes in adults.
TL;DR: The revised IDF methodology for estimating diabetes prevalence is a transparent, reproducible approach that will be updated annually and takes data-driven approaches to filling in gaps where data are not available and where assumptions have to be made.
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Epidemiology of endometriosis: a large population-based database study from a healthcare provider with 2 million members.
TL;DR: The objective of this study is to describe the real‐world epidemiology of endometriosis in an unselected low‐risk population in Israel.
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The effectiveness of the TWO-DOSE BNT162b2 vaccine: analysis of real-world data.
Gabriel Chodick,Lilac Tene,Ran S Rotem,Tal Patalon,Sivan Gazit,Amir Ben-Tov,Clara Weil,Inbal Goldshtein,Gilad Twig,Dani Cohen,Khitam Muhsen +10 more
TL;DR: The effectiveness of the BNT162b2 vaccine in preventing SARS-CoV-2 infection and COVID-19-related hospitalization and mortality is comparable to the one reported in the phase III clinical trial.
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Evidence for an association between endometriosis, fibromyalgia, and autoimmune diseases
TL;DR: The aim of this study was to investigate the prevalence of and the association between endometriosis, fibromyalgia, and autoimmune disease (AID) in a large population database and to describe healthcare resource utilization in affected women.