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Moran Bodas

Researcher at Tel Aviv University

Publications -  82
Citations -  666

Moran Bodas is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Medicine & Preparedness. The author has an hindex of 8, co-authored 53 publications receiving 356 citations. Previous affiliations of Moran Bodas include Sheba Medical Center & University of Eastern Piedmont.

Papers
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Journal ArticleDOI

Self-Isolation Compliance In The COVID-19 Era Influenced By Compensation: Findings From A Recent Survey In Israel.

Moran Bodas, +1 more
- 09 Apr 2020 - 
TL;DR: This study demonstrates that providing people with assurances for their livelihood during self-quarantine is an important component in compliance with public health regulations.
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Anxiety-Inducing Media: The Effect of Constant News Broadcasting on the Well-Being of Israeli Television Viewers.

TL;DR: Increased viewing patterns of televised traumatic content, as well as negative perception of such broadcasts, are associated with the report of anxiety symptoms or psychopathology.
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Income assurances are a crucial factor in determining public compliance with self-isolation regulations during the COVID-19 outbreak - cohort study in Israel.

TL;DR: Despite the effects of threat on people’s obedience with regulations, this study demonstrates that providing people with assurances about their livelihood during absence from work remains an important component in compliance with public health regulations.
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The COVID-19 Pandemic Challenge to the All-Hazards Approach for Disaster Planning

TL;DR: In this paper, the authors use the experience from the COVID-19 pandemic that disproves or at least undermines, many aspects of the AHA, including early warning, medical public health response, reliance on international assistance, lead agency, and politicization of the crisis.
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COVID-19 Changed the Injury Patterns of Hospitalized Patients.

TL;DR: In this paper, the authors compared the overall volume of injured patients significantly decreased during the lockdown period of the COVID-19 outbreak, with the greatest decrease registered for road traffic collisions (RTCs).