Publications by authors named "O Paltiel"
Background: The risk of thrombosis increases after SARS-CoV-2 infection. This study aimed to assess associations between pre-infection anticoagulant exposure and SARS-CoV-2 infection-related outcomes in a population-based cohort.
Methods: Members of the "Meuhedet" health maintenance organization aged >45 years who tested positive for SARS-CoV-2 infection (03/2020-04/2022) were followed.
Hepatitis C virus (HCV) is hypothesised to be a public health problem in Ethiopia, and systematic review evidence suggested 1%-3% seroprevalence. We aimed to estimate the seroprevalence of HCV overall and across regions of Ethiopia. We estimated HCV seroprevalence using the 2016 Ethiopian Demographic and Health Survey (EDHS-2016).
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- The Jerusalem Community-Academic Partnership (J-CAP) was created to tackle local health issues identified through a population survey, integrating public health students into the process for training purposes.
- Over three years, the program involved mapping health promotion initiatives in Jerusalem and conducting a participatory assessment of a selected neighborhood with a predominantly Ultra-Orthodox community.
- The intervention programs developed by students, focusing on nutrition and physical activity, aimed to address identified barriers to a healthy lifestyle, while strengthening community partnerships and enhancing students' real-world public health understanding.
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- A scoping review analyzed lymphoma epidemiology, treatment challenges, and patient pathways in Sub-Saharan Africa from 2011 to 2022, focusing on 84 publications, mostly from Southern and Eastern Africa.
- Non-Hodgkin lymphoma (NHL) accounts for over 80% of cases with a significantly higher HIV comorbidity rate and younger median ages compared to Europe and the US, alongside a one-year survival rate of around 50% for NHL.
- The study emphasizes the need to tackle diagnostic delays, misdiagnosis, and treatment abandonment through improved access to care, enhanced diagnostics, and innovative multidisciplinary approaches.
Objective: The diagnosis of Gaucher disease (GD) presents a major challenge due to the high variability and low specificity of its clinical characteristics, along with limited physician awareness of the disease's early symptoms. Early and accurate diagnosis is important to enable effective treatment decisions, prevent unnecessary testing, and facilitate genetic counseling. This study aimed to develop a machine learning (ML) model for GD screening and GD early diagnosis based on real-world clinical data using the Maccabi Healthcare Services electronic database, which contains 20 years of longitudinal data on approximately 2.
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